Mechanical Engineering

Faculty

R.W. Hyers, George I. Alden Professor and Department Head; Ph.D. MIT 1998. High-temperature materials and materials processing, including both modeling and experiments. Properties of liquids and solids at high temperature. Computer-aided experiments, including on the International Space Statio
M. Bhatia, Assistant Teaching Professor, Ph.D., Arizona State University, 2014. Understanding the effect of 1D, 2D and 3D defects on structure-property relationships in advanced materials such as magnesium and titanium alloys related to the aerospace, automotive and nuclear industries at different length scales
C. A. Brown, Professor, Director Surface Metrology and Sports Engineering Laboratories; Ph.D., University of Vermont, 1983. Surface metrology, axiomatic design, sports engineering, and manufacturing.
L. Cheng, Assistant Professor, Ph.D., University of Pittsburgh, 2019. Physics-informed machine learning, data-driven multiscale and multiphysics modeling, smart/robotic materials development, additive manufacturing.
D. Cote, Assistant Professor; Ph.D., Worcester Polytechnic Institute, 2014. Integrated computational materials engineering (ICME); computational thermodynamics, kinetics, and solidification; solid state additive manufacturing; cold spray processing; powder metallurgy; microstructural analysis and modeling; through-process modeling; women in STEM outreach.
C. Demetry, Professor; Ph.D., Massachusetts Institute of Technology, 1993. Pedagogical research and educational development, materials science and engineering education, educational technology, outcomes of K-12 engineering outreach, mentoring of women and girls in science and engineering
A. Ebadi, Assistant Teaching Professor, Ph .D., University of New Hampshire, 2016. experimental and analytical fluid mechanics, thermofluid processes, non-equilibrium turbulent flow structures, computer-aided design and manufacturing.
M. S. Fofana, Associate Professor, Ph.D., University of Waterloo, Waterloo, Canada, 1993. Nonlinear delay dynamical systems, stochastic bifurcations, regenerative chatter, numerically controlled CAD/CAM machining, vehicle ambulance reliability design and technology, systems engineering analysis, reduction of treatment delays in kidney dialysis, medical and public health engineering, emergency and disaster response robots
C. Furlong, Professor and Director, Center for Holographic Studies and Laser micro-mechaTronics; Ph.D., WPI, 1999. MEMS and MOEMS, micro- /nano-technology & -fabrication, mechatronics, laser metrology & applications, holographic and ultrasonic imaging and NDT, computer modeling of dynamic systems, acoustics.
A. Gnanaskandan, Assistant Professor, Ph.D., University of Minnesota, 2015 CFD, Multiscale modeling, Multiphase flows, Cavitation, Biomedical Acoustics, High-performance parallel computing, Algorithm development
S. I. Guceri, Professor, Ph.D., North Carolina State University, 1976. Rapid fabrication, rapid prototyping, layered manufacturing, additive manufacturing, laser manufacturing, bio-fabrication
Z. Hou, Professor; Ph.D., California Institute of Technology, 1990. Vibration and control, structural dynamics, structural health monitoring, smart materials and adaptive structures, stochastic mechanics, solid mechanics, finite elements, earthquake engineering  
D. A. Lados, Milton Prince Higgins II Distinguished Professor of Mechanical Engineering; Director, Integrative Materials Design Center (iMdc); Ph.D., Worcester Polytechnic Institute, 2004. Fatigue, fatigue crack growth, thermo-mechanical fatigue, creep, and fracture of metallic and composite materials – evaluation, advanced material/failure characterization, life predictions, computational modeling and ICME, materials/process/component design and optimization for aerospace, automotive, marine, and military applications; advanced manufacturing – additive manufacturing, metal matrix nano–composites, friction stir welding, cold spray technology, powder metallurgy; residual stress; plasticity; fracture mechanics 
F. C. Levey, Associate Teaching Professor; Ph.D., University of the Witwatersrand, 2001. Phase diagrams, phase transforma­tions, shape memory, ferro-alloy casting
J. Liang, Professor; Associate Director, Manufacturing and Materials Engineering; Ph.D., Brown University 2004. Nanofabrication through nonlithographic approaches, additive manufacturing, material processing, resource recycling, and material characterization
Y. Liu, Associate Professor; Ph.D., University of Maryland, 2011. Fiber optical tweezers, silicon nanophotonics and nanomechanics,  fiber optic sensors, medical robotics, cell mechanics
M. M. Makhlouf, Professor; Ph.D., Worcester Polytechnic Institute, 1990. Physical metallurgy, specifically developing new alloys for improved performance. Materials processing, particularly solidification of metals. The application of thermodynamics, kinetics, and the concepts of heat and mass transfer to modeling processes in materials science and engineering. Metal-matrix nanocomposites  
Z. Mao, Associate Professor; Ph.D., University of California San Diego, 2012. Structural dynamics and vibration, structural health monitoring and nondestructive evaluation, intelligent systems, noncontact sensing, data analytics and machine learning, uncertainty quantification
L. Moradi, Professor of Practice and Co-Director of AVMI; Ph.D., PE, University of Alabama at Birmingham, 2007. structures, mechanics, systems engineering, systems dynamics and controls, design, and product development
M. Mortazavi, Associate Teaching Professor; Ph.D., Michigan Tech University, 2014, Liquid-gas two-phase flow, droplet dynamics and actuation, and interfacial phenomena.
B. Mishra, Kenneth G. Merriam Professor; Director, Metal Processing Institute; Director, Manufacturing and Materials Engineering; Ph.D., University of Minnesota, 1986. Physico-chemical processing of materials, corrosion science and engineering, resource recovery & recycling, critical materials extraction, iron and steelmaking, alloy development, thin film coatings and surface engineering  
A. Powell, Associate Professor; Ph.D., Massachusetts Institute of Technology, 1997. Clean production of materials particularly those used in clean energy, electrochemistry, extractive metallurgy, multiscale modeling of materials process fundamentals, industrial ecology
P. Radhakrishnan, Associate Teaching Professor; Ph.D., The University of Texas at Austin, 2014. Automated design and manufacturing; entertainment and medical engineering; optimization, machine learning and software development; kinematics, dynamics and design education
P. M. Rao, Associate Professor; Ph.D., Stanford University, 2013. Nanostructured thin film materials, photoelectrochemical materials, printed electronics and sensors.
A. C. Sabuncu, Assistant Teaching Professor; PhD, Old Dominion University, 2011. Thermo-fluid science and engineering with a focus on micro&nano scale systems. In addition, expertise on dielectric spectroscopy of biological materials.
B. J. Savilonis, Professor; Ph.D., State University of New York at Buffalo, 1976. Thermofluids, biofluids and biomechanics, energy  
W. Soboyejo, Professor, Provost; Ph.D., Cambridge University, 1988. Biomaterials, use of nanoparticles for detection and treatment of disease, mechanical properties of materials, use of materials science to promote global development.  
J. Stabile, Instructor, MSME, University of Arizona; MEEE, University of Colorado. High efficiency small speaker systems for personal audio. This would include magnetic motor design, linear and rotary actuators, high bandwidth structural design, force balanced transducer design, acoustic structural interaction modeling with finite element analysis, and planar acoustic arrays. 3D additive creation of planar electromagnetic actuators
J. M. Sullivan, Jr., Professor, D.E., Dartmouth College, 1986. Development of graphics tools and mesh generation, numerical analysis of partial differential equations, medical image visualization and analysis software development
V. Vantsevich, Professor; co-Director and PI, Autonomous Vehicle Mobility Institute; Ph.D. and Sc.D., Belarusian National technical University, 1981 and 1992. Manned and unmanned ground vehicle dynamics, vehicle mechanical and intelligent mechatronic system dynamics, engineering design, and control.
Y. Wang, William Smith Foundation Dean’s Professor; Ph.D., University of Windsor, 2008. Battery materials, structure, manufacturing, design, recycling and safety, electrochemistry based technologies, electrolysis, recycling and sustainability, fundamental electrochemistry, commercialization of technologies
S. Wodin-Schwartz, Associate Teaching Professor; Associate Department Head Ph.D., University of California at Berkeley, 2013. MEMS sensor design and fabrication, undergraduate engineering education, active learning and experiential education content development and research, product design
J. Yagoobi, George F. Fuller Professor; Ph.D., University of Illinois at Champaign-Urbana, 1984. Enhancement of heat and mass transfer in macro, micro, and nano-scales, liquid vapor phase change, electrohydrodynamics, transport phenomena in moist porous media, drying, novel impinging jets
Y. Zheng, Assistant Professor; Ph.D., University of Michigan, 2016. Advanced and biomedical manufacturing, medical device design, tissue mechanics, biomedical machining process and modeling, catheter-based surgical devices, medical simulation, vascular ultrasound imaging, abrasive machining processes for biomedical and ceramic materials.
Y. Zhong, Associate Professor; Ph.D., Penn State University, 2005. Integrated Computational Materials Engineering (ICME), computational thermodynamics, ab initio, molecular dynamics, machine learning, high-throughput simulations, alloys and ceramics

Emeritus

D. Apelian, Professor Emeritus
H. Ault, Associate Professor Emeritus
R. Biederman, Professor Emeritus
J. M. Boyd, Professor Emeritus
A. H. Hoffman, Professor Emeritus
J. A. Mayer, Jr., Professor Emeritus
R. L. Norton, Professor Emeritus
D. Planchard, Instructor Emeritus
R. J. Pryputniewicz, Professor Emeritus

Areas of Study

The graduate curriculum is divided into six distinct areas of study:

These areas support the research interests of the mechanical engineering faculty, which are described under Areas of Research. Graduate courses introduce students to fundamentals of mechanical engineering while simultaneously providing the background necessary to become involved with the ongoing research of the mechanical engineering faculty.

Students also receive credit for special topics under ME 593 and ME 693, and independent study under ISP. Faculty members often experiment with new courses under the special topics designation, although no course may be offered more than twice in this manner. Except for certain 4000-level courses permitted in the B.S./ Master’s program, no undergraduate courses may be counted toward graduate credit.

Programs of Study

The Mechanical Engineering Program offers the following graduate degree options:

  • Master of Science (M.S.)
  • Combined B.S./M.S.
  • Doctor of Philosophy (Ph.D.)
  • Graduate Certificate Program: Mechanical Engineering for Technical Leaders

Admission Requirements

For the M.S. program, applicants should have a B.S. in mechanical engineering or in a related field (i.e., other engineering disciplines, physics, mathematics, etc.).
The standards are the same for admission into the thesis and non-thesis options of the M.S. program. At the time of application to the master’s program, the student must specify his/her option (thesis or non-thesis) of choice.
For the Ph.D., a bachelor’s or master’s degree in mechanical engineering or in a related field (i.e., other engineering disciplines, physics, mathematics, etc.) is required.
The Mechanical Engineering Department reserves its financial aid for graduate students in the Ph.D. program or in the thesis option of the M.S. program.

Areas of Research

The faculty of the Mechanical and Materials Engineering Department currently pursue research under the following areas:

  • Autonomous and Manned Ground Vehicles
  • Biomechanical Engineering and Healthcare
  • Dynamics, Controls and Robotics
  • Energy Science and Engineering
  • Materials and Manufacturing
  • Mechanics and Design
  • Nano and Micro Engineering

Please consult the Mechanical Engineering Department website for a current list of the faculty pursuing research under each of these areas.

Mechanical Engineering Laboratories and Centers

The Mechanical Engineering Program provides a multidisciplinary research and education environment. The facilities are housed in Higgins Laboratories and Washburn Shops. For the laboratories and centers of the other programs within the Mechanical Engineering Department (Aerospace Engineering, Manufacturing Engineering, Materials Process Engineering, and Materials Science and Engineering), please see their corresponding sections in this catalog.

Teaching and Project Laboratories

Design Studio and Computer Classroom

The Higgins Design Studio (HL 234) and the Computer Classroom (HL 230) are both part of the Keck Design Center, and are managed by WPI’s Information Technology Services Division. The labs are used for lectures and laboratories in a variety of mechanical design and manufacturing courses, and are also available to students for general-purpose computational work on projects and coursework. The 1600 sq. ft. Higgins Design Studio contains twenty one (21) high-end workstations running software for mechanical design including parametric solid modeling (PTC/Creo, Solidworks, AutoCAD), structural, thermal, fluid and dynamic analysis (ANSYS, Abaqus, Fluent, Comsol) and general purpose applications (Tecplot, SigmaPlot, Mathematica, MATLAB, Maple, MathCAD). The 1575 sq. ft. Computer Classroom (HL 230) contains more than forty (40) workstations, A/V equipment including dual high-resolution projection systems, and a high-speed laser printer. Locally installed software includes Solidworks, AutoCAD, MATLAB, Maple, MathCAD, Thermal Analysis software and VisualStudio. Net. The workstations in the Design Studio and Computer Classroom have access to all software available on the WPI campus network, and allow for design collaboration and exchange of design models to manufacturing facilities. Courses served: ES 1020, ES 1310, ME 3310, ME 3311, ME 3320, ME 4320 and many out-of- department courses.

Experimentation Laboratory

The Experimentation Laboratory (HL 031) provides the Mechanical Engineering Department with a modern laboratory for the state-of-art Engineering Experimentation ME 3901 course, required for ME students to satisfy their experimentation requirement. The course provides students with valuable hands-on knowledge and directly addresses all ABET experimentation and related requirements. The 1300 sq. ft. laboratory houses 15 workstations containing Labview-based data acquisition hardware and software. Each workstation is configured for two students working in pairs. A host of standard sensors and transducers (thermocouples, thermistors, RTDs, strain gages, pressure transducers, accelerometers, etc.) complement each workstation bench. The laboratory also contains standard test equipment (DVM, soldering equipment, hand tools, calipers, and micrometers) as well as hardware apparatus such as pressure tanks, orifices, heat exchangers, pressurized air, power, and internet, etc. This laboratory is also used for ES 3011 Engineering Controls I, ME 4322 Modeling and Analysis of Mechatronics, a graduate course on Dynamic Signal Analysis, and Major Qualifying Projects (MQPs) related to engineering experimentation.

Major Qualifying Projects (MQP) Laboratory

The MQP Laboratory (HL 045) is a 450 sq. ft. space for students to assemble and work on their MQPs. The laboratory lies between the Engineering Experimentation Laboratory, giving access to state-of-art electronic sensors and measurement equipment, and the Higgins Machine Shop, providing lathes, drill presses, milling machines and CNC equipment. The MQP laboratory is equipped with air, water, drains, and hand-tools for fabrication work. Individualized storage exists for capstone design works in progress.

Project Laboratories

The other project laboratory spaces in Higgins Laboratories include HL 005, 006, 017, and 019. HL 005 (1600 sq. ft.) is used primarily to conduct of capstone design projects requiring a large work and assembly area. It also provides space to one of WPI’s US First Robotics teams and supports the Robotics Resource Center (HL 009), as well as being the home of WPI’s CollabLab, which is a student organization that promotes “maker” culture and collaboration at WPI. The SAE Project Lab (HL 006, 300 sq. ft.) houses the SAE Formula Race Car and other SAE projects. HL 017 and 019 (each approximately 100 sq. ft.) provide further space and resources for conducting course projects and MQP projects.

Manufacturing Facilities

3D Print Laboratory

Rapid Prototyping (RP) technologies, including 3D printing, use a computer-driven, additive process to print solid three-dimensional models one layer at a time almost directly from a computer-aided design (CAD) program. The 3D Print Laboratory (HL 232) houses several executive level RP machines managed by Academic & Research Computing (ARC) Center staff available for students, faculty, and staff across campus. The Dimension SST 1200es prints exclusively with ABS plastic, and the Objet 260 Connex is capable of using a variety of resins that can produce up to 14 different material properties within one part, with over 60 material options available. Submissions to the machines are accepted for any on campus projects (MQP, IQP, course project, graduate research, etc.) that have been approved by an advisor or faculty member, for the production of parts that cannot be easily purchased or created using other on campus resources. Instructions for access can be found at https://www.wpi.edu/research/resources/academic-research-computing/3d-printing, and the staff can be contacted at rapidprototyping@wpi.edu

CNC Teaching Laboratory

CNC Teaching Laboratory The CNC teaching laboratory is located in the Washburn Shops Room 107 and covers 3,140 sq. ft. The CNC machine tools housed within this lab are used for a wide range of student projects including MQPs, ME 1800 and ME3820. The laboratory is equipped with one Universal Laser Systems VLS60 Laser Cutter, one Haas Tool Rool Mill, a Doall Engine lathe, DoAll manual mill 3 Haas MiniMills, one Haas ST10 and 2 Haas SL10s, 3 band saws, two drill presses, a sheet metal shear and bending break as well as assorted hand tools. Attached to each of the MiniMills and SL10s are computer workstations equipped with design and programming software. In addition to the computers located at each of the CNC machine tools, the facility has a computer classroom in Washburn 107 that can accommodate 15 workstations. These workstations have access to the design software packages supported on campus as well as our training materials and several Computer Aided Manufacturing (CAM) software packages including Esprit, MasterCam, and Fusion360 The facilities are run by an operations manager and lab technicians who are assisted by undergraduate peer learning assistants (PLAs).

MEMS Fabrication Laboratory

The MEMS Fabrication Laboratory (HL 106) is a Class 100 cleanroom facility with approximately 500 square feet of floor space, including the gowning area. It is equipped with instrumentation to support photolithography, thermal deposition and oxidation, wet chemistry, metrology, and wafer bonding. Metrology capabilities for the devices that are fabricated, such as profilometry, SEM, AFM, and XRD are available through other ME Department laboratories, including the Materials Characterization Laboratory (see Materials Science and Engineering section of this catalog).

Research Laboratories

Computational Multiphase Transport Laboratory

The Computational Multiphase Transport Laboratory (CMTL) directed by Prof. Aswin Gnanaskandan is involved in modeling, computation and analysis of multiphase flows. The research program of CMTL has two overarching themes : (1) Developing high fidelity mathematical models for multiphase flows and addressing key technological barriers to the deployment of such models to real world problems in engineering and biomedical areas. (2) Leveraging the capabilities of the developed models to solve critical needs in important and emerging areas like underwater transportation, propulsion, combustion, and biomedical acoustics. Group members perform hands-on work on developing state-of-the-art, multiphysics models, implement them into parallel simulation codes and perform simulations of challenging multiphase flow problems.  We work in multi-disciplinary collaborative projects that solve current needs of Navy, Airforce and NASA allowing opportunities to directly work with scientists and engineers at these agencies.

Laboratory of Intelligent Systems and Structural Dynamics

The Laboratory of Intelligent Systems and Structural Dynamics (LISSD) is located in Room 125, 15 Sagamore Road. The research efforts at LISSD primarily focus on dynamics and vibration on a wide span of intelligent systems, as well as extracting features from system responses to identify structural safety and damage characterizations. The lab contains a number of high-performance workstations and GPUs, structural testing equipment including data conditioning and acquisition systems, electrodynamic shakers with different force output capacities, modal hammer and sensors to collect structural dynamic measurements. There is also a high-resolution camera and a laser Doppler vibrometer system to support research on advanced noncontact sensing, photogrammetry and computer vision. In the ongoing research at LISSD, novel artificial intelligence and engineering informatics techniques are developed for many intelligent system applications, and this multi-disciplinary field of structural health monitoring and prognostics cohesively includes research components of smart materials, advanced sensing, data acquisition, big data analytics, machine learning and statistical modeling. Therefore, the LISSD contributes to the understanding and advancement of a wide spectrum of engineering filed including mechanical engineering, aerospace engineering, civil engineering, etc. The research in the LISSD is directed by Professor Z. Mao.

Large Scale Metal Additive Manufacturing & Powder Characterization Lab

This laboratory, located in the 15 Sagamore Road building, features two large scale metal additive manufacturing (AM) systems: a high pressure gas dynamic cold spray system (VRC Gen III) with five-access robotic capabilities, as well as a GEFERTEC ARC405 directed energy deposition wire arc additive manufacturing (WAAM) system. Each have the ability to print a variety of materials, including alloys of aluminum, steel, titanium, copper, refractory metals, shape memory alloys, ceramics, and more. Additionally, advanced powder characterization and general materials analysis instruments are available, including a scanning electron microscope (SEM), high resolution 3D digital optical microscope, ONH interstitial analyzer, Karl Fischer titration moisture analyzer, particle size and morphology analyzer, powder rheometer, several nano-indenters, indentation profilometer, and several computational thermodynamic and kinetic modeling software capabilities

Materials and Processes Laboratory

The Materials and Processes Laboratory provides experimental support for a variety of combined programs in modeling and experimentation on materials. This is a new lab in AY 2023-2024. Capabilities presently under construction include a high-temperature atmosphere furnace, a laser hearth with vacuum and atmosphere capabilities, and various advanced diagnostics. Present experimental work focuses on manufacturing, extractive metallurgy, and recycling, in addition to fundamental work on high-temperature materials and processes.

Medical and Manufacturing Innovation Laboratory

The Medical and Manufacturing Innovation Lab (MedMaIn) is located in HL 029, 037, and 039 on the main campus, as well as the Collaborative Lab of the PracticePoint at the Gateway Park. RESEARCH The MedMaIn goal is to advance engineering science and technology to enhance healthcare. Specifically, MedMaIn applies advanced robotics, manufacturing, and design for safety, quality, efficiency, and economy in healthcare service and research. MedMaIn balances fundamental science and clinical applications, producing research articles and patents, scientists and entrepreneurs. PROJECTS Some representative projects are high-speed grinding inside human arteries to clear the blockage and treat cardiovascular diseases, high-speed machining of blood clot inside the human brain to treat stroke, a tele-ultrasound imaging system with intuitive user interfaces, robotic catheterization for neuro intervention, mechanical testing of blood clot, atherosclerotic plaque, and brain tissues, hydrodynamic polishing for 3D printed internal channels. COLLABORATION MedMaIn has been extensively collaborating with healthcare organizations and medical schools nationwide including Beth Israel Deaconess Medical Center, Mayo Clinic, VA Ann Arbor Healthcare System, Saint Vincent Hospital, University of Massachusetts Medical School, University of Michigan Medical School, and Massachusetts College of Pharmacy and Health Sciences. MedMain has also worked with medical device companies including Boston Scientific, Cardiovascular Systems Inc., Endovascular Engineering, and Calcium Solutions. The MedMaIn Lab is directed by Prof. Y. Zheng. Further information can be found at http://medman.wpi.edu/.

Multi-Scale Heat Transfer Laboratory

The Multi-Scale Heat Transfer (MHT) Laboratory is located in HL 248, and investigates the enhancement of heat transfer and mass transport in nano-, micro-, and macro-scales, with and without working fluid phase change (liquid/vapor), in the presence and absence of gravity utilizing various mechanisms of electrohydrodynamics (EHD). The MHT Laboratory also studies the augmentation of heat transfer with micro-scale phase change materials under various fluid flow configurations. MHT Laboratory features the following two-phase flow experimental apparatuses: EHD pump in micro scale for water droplet activation; multi-functional in-tube (internal forced convection) condensation and boiling in horizontal configuration using EHD polarization force; external condensation in horizontal configuration using EHD induction pumping; external condensation in vertical configuration using EHD polarization force; in-channel (internal forced convection) condensation in horizontal configuration using EHD induction pumping; two-phase loop with EHD induction pumping; and pool boiling for low and high pressure refrigerants using EHD polarization force. The MHT Laboratory also features several flexible pumps in various configurations and sizes. Supporting equipment include a large scale two-phase system (heat pipe loop), a unique high voltage, three-phase power supply, several high voltage (0-50kV) dc power supplies, a high-speed video system, micro-fiber optic temperature measurement device, high resolution infrared camera , thermistors, heat flux sensors, pressure transducers, flow meters, vacuum pumps, recirculating chillers, oscilloscope, multi-meters, and desktop computers. The research in the MHT Lab is directed by Prof. Prof. J. Yagoobi. Further information can be found at http://mht.wpi.edu/.

NanoEnergy Laboratory

The NanoEnergy Lab is located in Rooms 4916 and 4918, 50 Prescott St. (Gateway Park II), and targets the synthesis and study of nanomaterials for energy conversion applications, particularly for converting solar energy to electrical or chemical energy (photovoltaic and photoelectrochemical energy conversion), and for printed electronics applications, including printing of flexible hybrid electronics and sensors. Materials synthesis equipment in the NanoEnergy Lab includes vapor deposition (flat-flame burner and multi-zone tube furnace), hydrothermal synthesis reactors, solution deposition (fume hood, spincoater), various furnaces for annealing materials, and an advanced R&D inkjet printer and supporting equipment for ink development and characterization including a rheometer, tensiometer/goniometer, particle sizer, and high speed camera. Light sources, integrating spheres, spectrometers, a potentiostat, electrochemical cells and chemical sensors are available for the characterization of optical, electronic, photovoltaic and photoelectrochemical properties and behavior of materials. The research in the NanoEnergy Lab is directed by Prof. P. Rao. Further information can be found at http://nanoenergy.wpi.edu/.

Optomechanics Laboratory

The WPI Optomechanics Lab is located in Rooms 4934 and 4938, 50 Prescott St. (Gateway Park II). The overarching goal is to develop tools based on coupling between optics and mechanics at the micro- and nanoscale, and applying these tools to tackle challenging problems at the intersection of various disciplines. The main research carried out includes fiber optical tweezers, silicon nanomechanics, silicon nanophotonics, optofluidics, and fiber optic sensors. The research in the Optomechanics Lab can find applications in cell mechanics, on-chip disease diagnosis, precision displacement/force measurements, and biomedical sensing. The lab has various facilities for optical and mechanical research at the micro/nanoscale, such as a tunable diode laser, pigtailed laser diodes, automatic fiber fusion splicers, fiber end polisher, and a large variety of photodetectors and power meters. There are various microscopes available for imaging and measurements, including one research-grade inverted fluorescence microscope for biological research and a long-working-distance microscope for nanophotonic and microfluidic research. The lab is specialized in home-made fiber optical tweezer systems, which enable non-contact nanoparticle manipulation and picoNewton force measurements. Piezo stages and a 6-GHz electronic spectrum analyzer enable nanometer displacement control and GHz-range dynamic signal measurements. The research in the Optomechanics Laboratory is directed by Prof. Y. Liu. Further information can be found at http://optomech.wpi.edu/.

Surface Metrology Laboratory

WPI’s Surface Metrology Lab is one of just a few academic labs in the world that focuses on measurements, characterizations, and analyses of surface topographies, colloquially called roughness. Through the generosity of the respective companies the lab has the use of a GelSight Mobile™ for hand-held, fast, micron-level measurements on a wide variety of surfaces, and a MahrFederal MarSurf GD25 stylus profiler, as well as several seats of Mountains Map (DigitalSurf). We study how topographies are influenced by processing and influence the performance of surfaces. We study how to discriminate surfaces based on their topographies that were processed differently, or that perform differently, and how to find functional correlations between topographies and their processing or their performance. The lab has pioneered the development and application of several kinds of multiscale geometric analyses. The lab serves industry and has collaborated with engineers and scientists from a variety of disciplines including archaeology, cultural preservation, food science, and physical anthropology around the world. The lab is directed by Prof. C. A. Brown who serves on national and international standards committees for surface textures

Research Centers

Center for Advanced Research in Drying

The Center for Advanced Research in Drying (CARD) is a National Science Foundation (NSF) Industry/University Cooperative Center (I/UCRC) devoted to research in drying of moist, porous materials such as food and other agricultural products, forestry products, chemical products, textiles, and biopharmaceuticals. CARD was founded by WPI as a lead institution, and the University of Illinois at Urbana-Champaign. Examples of the ­current CARD research areas include:

  • Drying Processes/Systems Design and Simulation
  • Optimizing Product Quality and Energy Consumption during Drying by Solving Multi-scale Transport Models
  • Nano- and Micro-Technology in Drying Applications
  • Innovative Concepts in Drying of Moist Porous Materials
  • Moisture Management for Food Quality, Stability and Safety
  • Phase Behavior of Biopolymers and Impact on Product Quality
  • Machine Learning Enabled Smart Drying
  • Mechanical Modeling and Computer Software Tracking
  • Product Microstructure and Surface Metrology Characterization
  • No-Phase-Change Dehydration Schemes and Other Novel Drying Concepts
  • Innovative Impinging Jets with and without Chemical Reactions for Drying, Heating, and Cooling Applications
  • Energy Auditing
  • Development of Unique Sensors

Research in CARD is directed by Prof. J. Yagoobi. Further information and a list of participating faculty members can be found at http://www.dryingresearch.org/.

Center for Holographic Studies and Laser micro-mechaTronics

The laboratories of the Center for Holographic Studies and Laser micro-mechaTronics (CHSLT) cover over 2,800 sq. ft and support activities ranging from fundamental studies of laser light interaction with materials to sophisticated applications in metrology. Research at the CHSLT is externally funded in areas relating to electronic packaging, high density separable electronic interconnections for high speed digital applications, radar technology, microelectronics, micromechanics, submarine technology, jet engine technology, MEMS, nanotechnology and picotechnology, to name a few. The laboratories are furnished with He-Ne lasers, Ar-ion lasers, Nd:YAG lasers, nanosecond high energy pulsed laser, and diode lasers, as well as supporting instrumentation systems. In addition, the Nano-Indentation (NIN) system is being developed for studies of mechanical properties of materials in sub-micron geometries. The CHSLT has its own computational facilities for Finite Element, Finite Difference, and Boundary Element analysis, modeling, and simulation. The metrological applications at the CHSLT concentrate on holographic interferometry, laser speckle metrology, fiber optic sensors, analytical and computational modeling of structural behavior under static as well as dynamic loading conditions, and other areas of current interest. In the area of holographic interferometry, the CHSLT maintains holographic systems for studies of static as well as dynamic problems. These systems range from conventional double-exposure holography, to real-time and time-average holography, heterodyne holography, stroboscopic heterodyne holography, pulsed laser holography, and electro-optic holography (EOH). The EOH system allows for direct electronic acquisition and processing of interferometric data in real-time and sets a new standard for quantitative holographic analysis. The CHSLT also conducts experimental and computational research in the field of nanoindentation studies in conjunction with a laboratory system which is uniquely suited to measure elastic, plastic, creep, and fracture properties of materials in submicron geometries. In addition, the CHSLT is equipped with a complete laser vibrometer system, GHz frequency range storage oscilloscopes, a spectrum analyzer, a self-contained network of personal computers, UNIX based workstations and image processors, a host of supporting instrumentation, and a library of finite element analysis and general purpose software. A well-equipped electrical engineering and instrument development laboratory, a fiber optic preparation laboratory, an optical microscopy laboratory and a multifunctional dark room are also parts of the CHSLT. The strengths of the CHSLT lie in a comprehensive utilization of laser technology, optics, computational methods, mechanical engineering, materials science and engineering, and computer data acquisition and processing. Research in CHSLT is directed by Prof. C. Furlong. Further information can be found at http://chslt.wpi.edu/.

Autonomous Vehicle Mobility Institute

The Autonomous Mobility Vehicle Institute (AVMI) is a research and development (R&D) and technical services organization to advance methods in modeling and simulation, design and control, hybrid testing and experimentation of autonomous/unmanned and manned vehicles for maneuver, terrain mobility, energy efficiency, and survivability in severe terrain and adversarial environments. AVMI performs conceptual and engineering prototyping and design of vehicle systems, academic and professional advancement courses at WPI, national, and international levels.By conducting its R&D, AVMI assists in coordinating efforts between the U.S. Army Combat Capabilities Development Command Ground Vehicle Systems Center, other government research agencies and NATO, universities, and industry. AVMI extends its work to other systems, such as multi-drive wheel road and off-road automobiles and trucks, planet rovers, farm tractors, construction and mining equipment, forestry machinery. 

Current R&D areas include:

  • Autonomous Perception and Planning, Simultaneous Localization and Mapping;
  • Exteroceptive and Proprioceptive Sensor Modeling, Simulation, and Design;
  • Sensor Fusion and Integration;
  • Real-time Terramechanics for Terrain-Vehicle Modeling and Simulation;
  • AI-based Real-time Optimization and Control of Mobility and Maneuver;
  •  Metaverse-based co-Simulation Environment Modeling and Virtualization;
  • Agile Tire Dynamics and Artificial Intelligence (AI)-based controls;
  • Coupled and Interactive Dynamics and Control of Vehicle Intelligent Physical Systems;
  • Energy Efficient, Fully Electric and Mechanical/Mechatronic Driveline Systems;
  • AI Techniques for Intelligent Material Generative Design;
  • Long-term Autonomy in Unanticipated Cyber-Attacks;
  • Vehicle Cyber Resilience by Intelligent Dynamic Materials;
  • Vehicle Thermal Signatures Transformation and Cyber Shielding;
  • Cyber Survivability and Autonomous Robust Mobility and Maneuver;
  • Sensor Susceptibility to and Protection from Electromagnetic Interference;
  • Survivability-Performance Operation algorithms;
  • System-on-Chip Developments.

AVMI is located in the 30,000sq.ft. laboratory area at 85 Prescott Street (Gateway) and 15 Sagamore Rd, Worcester, MA. For further information, collaboration, and technical career opportunities, contact AVMI co-Directors Vladimir Vantsevich and Lee Moradi.

Classes

BME/ME 550: Tissue Engineering

Credits 3.0
Tags
Biomechanical Engineering

This biomaterials course focuses on the selection, processing, testing and performance of materials used in biomedical applications with special emphasis upon tissue engineering. Topics include material selection and processing, mechanisms and kinetics of material degradation, cell-material interactions and interfaces; effect of construct architecture on tissue growth; and transport through engineered tissues. Examples of engineering tissues for replacing cartilage, bone, tendons, ligaments, skin and liver will be presented.

Prerequisites

A first course in biomaterials equivalent to BME/ME 4814 and a basic understanding of cell biology and physiology. Admission of undergraduate students requires the permission of the instructor

BME/ME 552: Tissue Mechanics

Credits 3.0
Tags
Biomechanical Engineering

This biomechanics course focuses on advanced techniques for the characterization of the structure and function of hard and soft tissues and their relationship to physiological processes. Applications include tissue injury, wound healing, the effect of pathological conditions upon tissue properties, and design of medical devices and prostheses.

Prerequisites

An understanding of basic continuum mechanics

BME 530/ME 5359/MTE 559: Biomedical Materials

Credits 2.0
Tags
Structures and Materials

This course is intended to serve as a general introduction to various aspects pertaining to the application of synthetic and natural materials in medicine and healthcare. This course will provide the student with a general understanding of the properties of a wide range of materials used in clinical practice. The physical and mechanical property requirements for the long term efficacy of biomaterials in the augmentation, repair, replacement or regeneration of tissues will be described. The physico-chemical interactions between the biomaterial and the physiological environment will be highlighted. The course will provide a general understanding of the application of a combination of synthetic and biological moieties to elicit a specific physiological response. Examples of the use of biomaterials in drug delivery, theranostic, orthopedic, dental, cardiovascular, ocular, wound closure and the more recent lab-on-chip applications will be outlined. This course will highlight the basic terminology used in this field and provide the background to enable the student to review the latest research in scientific journals. This course will demonstrate the interdisciplinary issues involved in biomaterials design, synthesis, evaluation and analysis, so that students may seek a job in the medical device industry or pursue research in this rapidly expanding field. Students cannot receive credit for this course if they have received credit for the Special Topics (ME 593/MTE 594) version of the same course, or for ME/BME 4814 Biomedical Materials.

BME 533/ME 5503: Medical Device Innovation and Development

Credits 2.0
Tags
Biomechanical Engineering

The goal of this course is to introduce medical device innovation strategies, design and development processes, and provide students with an understanding of how medical device innovations are brought from concept to clinical adoption. Students will have opportunities to practice medical device innovation through a team-based course project. Specific learning outcomes include describing and applying medical device design and development concepts such as value proposition, iterative design, concurrent design and manufacturing, intellectual property, and FDA regulation; demonstrating an understanding of emerging themes that are shaping medical device innovation; demonstrating familiarity with innovation and entrepreneurship skills, including customer discovery, market analysis, development planning, and communicating innovation; and gaining capability and confidence as innovators, problem solvers, and communicators, particularly in the medical device industry but transferable to any career path.

BME 580/RBE 580/ME 5205: Biomedical Robotics

Credits 2.0
Tags
Dynamics and Controls

This course will provide an overview of a multitude of biomedical applications of robotics. Applications covered include: image-guided surgery, percutaneous therapy, localization, robot-assisted surgery, simulation and augmented reality, laboratory and operating room automation, robotic rehabilitation, and socially assistive robots. Specific subject matter includes: medical imaging, coordinate systems and representations in 3D space, robot kinematics and control, validation, haptics, teleoperation, registration, calibration, image processing, tracking, and human-robot interaction.Topics will be discussed in lecture format followed by interactive discussion of related literature. The course will culminate in a team project covering one or more of the primary course focus areas. Students cannot receive credit for this course if they have taken the Special Topics (ME 593U) version of the same course.

Prerequisites

Linear algebra, ME/RBE 301 or equivalent.

CE/ME 5303: Applied Finite Element Methods in Engineering

Credits 2.0
Tags
Structures and Materials

This course is devoted to the numerical solution of partial differential equations encountered in engineering sciences. Finite element methods are introduced and developed in a logical progression of complexity. Topics covered include matrix structural analysis variation form of differential equations, Ritz and weighted residual approximations, and development of the discretized domain solution. Techniques are developed in detail for the one- and two-dimensional equilibrium and transient problems. These numerical strategies are used to solve actual problems in heat flow, diffusion, wave propagation, vibrations, fluid mechanics, hydrology and solid mechanics. Weekly computer exercises are required to illustrate the concepts discussed in class. Students cannot receive credit for this course if they have taken the Special Topics (ME 593E) version of the same course or ME 533 or CE 524.

ME/CE 5303: Applied Finite Element Methods in Engineering

Credits 2.0
Tags
Structures and Materials

This course is devoted to the numerical solution of partial differential equations encountered in engineering sciences. Finite element methods are introduced and developed in a logical progression of complexity. Topics covered include matrix structural analysis variation form of differential equations, Ritz and weighted residual approximations, and development of the discretized domain solution. Techniques are developed in detail for the one- and two-dimensional equilibrium and transient problems. These numerical strategies are used to solve actual problems in heat flow, diffusion, wave propagation, vibrations, fluid mechanics, hydrology and solid mechanics. Weekly computer exercises are required to illustrate the concepts discussed in class. Students cannot receive credit for this course if they have taken the Special Topics (ME 593E) version of the same course or ME 333 or CE 324.

ME 500: Applied Analytical Methods in Engineering

Credits 3.0
Tags
General Mechanical Engineering

The emphasis of this course is on the modeling of physical phenomena encountered in typical engineering problems, and on interpreting solutions in terms of the governing physics. In this manner, the course will expose students to a range of techniques that are useful to practicing engineers and researchers. Physical examples will be drawn from fluid mechanics, dynamics, stability problems, and structural mechanics. The course will introduce analytical techniques as they are required to study such phenomena. Depending on the examples chosen, the techniques covered may include partial differential equations, power series, Fourier series, Fourier integrals, including cases of sustained nonperiodic processes which require incorporating probabilistic approach into dynamics, Greens Functions, Sturm-Liouville theory and linear algebra. Students cannot receive credit for this course if they have taken ME 500.

Prerequisites

Differential equations at the undergraduate level.

ME 513: Thermodynamics

Credits 3.0
Tags
Fluids Engineering

Review of the zeroth, first and second laws of thermodynamics and systems control volume. Applications of the laws to heat engines and their implications regarding the properties of materials. Equations of state and introduction to chemical thermodynamics.

ME 514: Fluid Dynamics

Credits 3.0
Tags
Fluids Engineering

This course is an introduction to graduate-level fluid dynamics. Specific learning outcomes include deriving and understanding the governing equations of fluid mechanics; applying basic equations of fluid motion to understand inviscid fluids, Newtonian fluids, and incompressible fluids; analyzing potential flows using stream functions and potential functions; deriving exact solutions of fluid equations for special flow cases; and introducing the concept of boundary layers and deriving similarity solutions for boundary layer equations. Students cannot receive credit for this course if they have received credit for AE/ME 5101 or AE/ME 5107.

Prerequisites

Undergraduate-level fluid dynamics.

ME 516: Heat Transfer

Credits 3.0
Tags
Fluids Engineering

Review of governing differential equations and boundary conditions for heat transfer analysis. Multidimensional and unsteady conduction, including effects of variable material properties. Analytical and numerical solution methods. Forced and free convection with laminar and turbulent flow in internal and external flows. Characteristics of radiant energy spectra and radiative properties of surfaces. Radiative heat transfer in absorbing and emitting media. Systems with combined conduction, convection and radiation. Condensation, evaporation, and boiling phenomena.

Prerequisites

Background in thermodynamics, fluid dynamics, ordinary and partial differential equations, and basic undergraduate physics

ME 521/RBE 521: Legged Robotics

Credits 3.0
Tags
Dynamics and Controls

Foundations and principles of parallel manipulators and legged robots. Topics include advanced spatial/3D kinematics and dynamics of parallel manipulators and legged robots including workspace analysis, inverse and forward kinematics and dynamics, motion analysis and control, and gait and stability/balance analysis of legged robots. The course will be useful for solving problems dealing with parallel manipulators as well as multi-legged robots including, but not limited to, quadruped robots, hexapod robots and any other types of multi-legged robots. A final term project allows students to show mastery of the subject by designing, analyzing, and simulating parallel and/or legged robots of their choice.

ME 530/RBE 530: Soft Robotics

Credits 2.0
Tags
Dynamics and Controls

Soft robotics studies “intelligent” machines and devices that incorporate some form of compliance in their mechanics. Elasticity is not a byproduct but an integral part of these systems, responsible for inherent safety, adaptation and part of the computation in this class of robots. This course will cover a number of major topics of soft robotics including but not limited to design and fabrication of soft systems, elastic actuation, embedded intelligence, soft robotic modeling and control, and fluidic power. Students will implement new design and fabrication methodologies of soft robots, read recent literature in the field, and complete a project to supplement the course material. Existing soft robotic platforms will be available for experimental work.

Prerequisites

Differential equations, linear algebra, stress analysis, kinematics, embedded programming.

ME 543/MFE 520/MTE 520: Axiomatic Design of Manufacturing Processes

Credits 3.0
Tags
Design and Manufacturing

This course begins with elements axiomatic design, the theory and practice. Design applications are considered primarily, although not exclusively, for the design of manufacturing processes and tools. Axiomatic design is based on the premise that there are common aspects to all good designs. These commons aspects, stated in the independence and information axioms, facilitate the teaching and practice of engineering design as a scientific discipline. Analysis of processes and products is considered from the perspective of supporting product and process design. Fundamental methods of engineering analysis of manufacturing processes with broad applicability are developed. Attention is given to examples from one or more of the following: machining (traditional, nontraditional and grinding), additive manufacturing, and to the production of surface topographies. The ability to generalize from detailed examples is emphasized in order to facilitate the students’ ability to development analyses and design methods with broader applicability. This course is offered live, in-class only, to be completed in one semester, for three credits. Credit cannot be given for this course and any of the similar, online versions of this material for 2 credits: MFE521, MTE521 and ME521.

ME 550/BME 550: Tissue Engineering

Credits 3.0
Tags
Biomechanical Engineering

This biomaterials course focuses on the selection, processing, testing and performance of materials used in biomedical applications with special emphasis upon tissue engineering. Topics include material selection and processing, mechanisms and kinetics of material degradation, cell-material interactions and interfaces; effect of construct architecture on tissue growth; and transport through engineered tissues. Examples of engineering tissues for replacing cartilage, bone, tendons, ligaments, skin and liver will be presented.

ME 552/BME 552: Tissue Mechanics

Credits 3.0
Tags
Biomechanical Engineering

This biomechanics course focuses on advanced techniques for the characterization of the structure and function of hard and soft tissues, and their relationship to physiological processes. Applications include tissue injury, wound healing, the effect of pathological conditions upon tissue properties and design of medical devices and prostheses.

ME 591: Graduate Seminar

Credits 0.0
Tags
General Mechanical Engineering

Seminars on current issues related to various areas of mechanical engineering are presented by authorities in their fields. All full-time mechanical engineering students are required to register and attend.

ME 593: Special Topics

Credits 0.0
Arranged by individual faculty with special expertise, these courses survey fundamentals in areas that are not covered by the regular mechanical engineering course offerings. Exact course descriptions are disseminated by the Mechanical Engineering Department well in advance of the offering.
Prerequisites

Consent of instructor

ME 598: Directed Research

Credits 0.0
For M.S. students wishing to gain research experience peripheral to their thesis topic, or for Ph.D. students wishing to gain research experience peripheral to their dissertation topic..

ME 621: Dynamics and Signal Analysis

Credits 3.0
A laboratory-based course which applies Fourier and cepstral signal analysis techniques to mechanical engineering problems. The theory and application of the Fourier series, Fast Fourier Transform (FFT) and the cepstrum to the analysis of mechanical and acoustical systems is presented. Digital sampling theory, windowing, aliasing, filtering, noise averaging and deconvolution are discussed. Limitations of and errors in implementation of these techniques are demonstrated. Students will perform weekly experiments in the Structural Dynamics and Vibration Laboratory, which reinforce the theories presented in lectures. Application will include structures, acoustics, rotating machinery and cams.

ME 634: Holographic Numerical Analysis

Credits 3.0
Recent advances in holographic analysis of body deformations are discussed. Included in the course are topics covering sandwich holography, optoelectronic fringe interpolation technique, theory of fringe localization, use of projection matrices and the fringe tensor theory of holographic strain analysis. The application of interactive computer programs for holographic analysis of engineering and biological systems will be outlined. Lectures are supplemented by laboratory demonstrations and experiments.
Prerequisites

Matrix algebra, vector calculus and consent of instructor.

ME 693: Advanced Special Topics

Credits 0.0
Arranged by individual faculty with special expertise, these courses cover advanced topics that are not covered by the regular mechanical engineering course offerings. Exact course descriptions are disseminated by the Mechanical Engineering Department well in advance of the offering.
Prerequisites

Consent of instructor

ME 5000: Applied Analytical Methods in Engineering

Credits 2.0
Tags
General Mechanical Engineering

The emphasis of this course is on the modeling of physical phenomena encountered in typical engineering problems, and on interpreting solutions in terms of the governing physics. In this manner, the course will expose students to a range of techniques that are useful to practicing engineers and researchers. Physical examples will be drawn from fluid mechanics, dynamics, and structural mechanics. The course will introduce analytical techniques as they are required to study such phenomena. Depending on the examples chosen, the techniques covered may include partial differential equations, power series, Fourier series, Fourier integrals, Laplace transform methods, Green's Functions, Sturm-Liouville theory, linear algebra, and calculus of variations. (Prerequisites: differential equations at the undergraduate level.) Students cannot receive credit for this course if they have taken either the Special Topics (ME 593A) version of the same course or ME 500.

Prerequisites

Differential equations at the undergraduate level.

ME 5001: Applied Numerical Methods in Engineering

Credits 2.0
Tags
General Mechanical Engineering

A study of important numerical and computational methods for solving engineering science problems. The course will include methods for solving linear and nonlinear equations, interpolation strategies, evaluating integrals, and solving ordinary and partial differential equations. Finite difference methods will be developed in full for the solution of partial differential equations. The course materials emphasize the systematic generation of numerical methods for elliptic, parabolic, and hyperbolic problems, and the analysis of their stability, accuracy, and convergence properties. The student will be required to write and run computer programs. Students cannot receive credit for this course if they have taken the Special Topics (ME 593M) version of the same course or ME 313.

ME 5104: Turbomachinery

Credits 2.0
Tags
Fluids Engineering

This course is an introduction to the fluid mechanics and thermodynamics of turbomachinery for propulsion and power generation applications. Axial and centrifugal compressors will be discussed as well as axial and radial flow turbines. Analysis of the mean line flow in compressor and turbine blade rows and stages will be discussed. The blade-to-blade flow model will be presented and axisymmetric flow theory introduced. Three-dimensional flow, i.e. secondary flows, will also be discussed. Students cannot receive credit for this course if they have taken the Special Topics (ME 593H) version of the same course.

ME 5105: Renewable Energy

Credits 2.0
Tags
Fluids Engineering

The course provides an introduction to renewable energy, outlining the challenges in meeting the energy needs of humanity and exploring possible solutions in some detail. Specific topics include: use of energy and the correlation of energy use with the prosperity of nations; historical energy usage and future energy needs; engineering economics; electricity generation from the wind; wave/ocean energy, geo-thermal and solar-thermal energy; overview of fuel cells, biofuels, nuclear energy, and solar-photovoltaic systems and their role and prospects; distribution of energy and the energy infrastructure; energy for transportation; energy storage.

Prerequisites

ES3001, ES3004 or equivalents.

ME 5108: Introduction to Computational Fluid Dynamics

Credits 2.0
Tags
Fluids Engineering

The course provides the theory and practice of computational fluid dynamics at an entry graduate level. Topics covered include: classification of partial differential equations (PDEs) in fluid dynamics and characteristics; finite difference schemes on structured grids; temporal discretization schemes; consistency, stability and error analysis of finite difference schemes; explicit and implicit finite differencing schemes for 2D and 3D linear hyperbolic, parabolic, elliptic, and non-linear PDEs in fluid dynamics; direct and iterative solution methods for algebraic systems. The course requires completion of several projects using MATLAB.

ME 5200: Mechanical Vibrations

Credits 2.0
Tags
Structures and Materials

The course provides fundamentals for vibration analysis of linear discrete and continuous dynamic systems, A vibrating system is first modeled mathematically as an initial value problem (IVP) or a boundary-initial value problem (BIVP) by the Newton-D’Alembert method and/or the Lagrange energy approach and then solved for various types of system. Explicit solutions for dynamic response of a linear single-degree-of-freedom (SDOF) system, both damped and undamped, is derived for free-vibration caused by the initial conditions and forced vibration caused by different excitations. Modal analysis is presented to solve for vibration response of both multi-degree-of-freedom (MDOF) systems and continuous systems with distributed parameters. As the basis of modal analysis, the natural frequencies and vibration modes of a linear dynamic system are obtained in advance by solving an associated generalized eigenvalue problem and the orthogonal properties of the vibration modes with respect to the stiffness and mass matrices are strictly proved. Computational methods for vibration analysis are introduced. Applications include but are not limited to cushion design of falling packages, vehicles traveling on a rough surface, multi-story building subjected to seismic and wind loading, and vibration analysis of bridges subjected to traffic loading. Students cannot receive credit for this course if they have taken the Special Topics (ME 593V) version of the same course or ME522.

ME 5202: Advanced Dynamics

Credits 2.0
Tags
Structures and Materials

Basic concepts and general principles of classical kinematics and dynamics of particles, systems of particles and rigid bodies are presented with application to engineering problems with complicated three-dimensional kinematics and dynamics. Derivation of the governing equations of motion using Principle of Virtual Work and Lagrange equations is described together with the direct Newton approach. Applications include: swings-effect and its use in engineering, illustrating in particular limit cycles and their stability and reversed-swings control of vibrations of pendulum; various examples of gyroscopic effects; and especially introductory rotor dynamics including transverse vibrations (whirling) and potential instability of rotating shafts. Students cannot receive credit for this course if they have taken the Special Topics (ME 593D) version of the same course or ME 527.

ME 5204/RBE 510: Multi-Robot Systems

Credits 2.0
Tags
Dynamics and Controls

This course covers the foundation and principles of multi-robot systems. The course will cover the development of the field and provide an overview on different control architectures (deliberative, reactive, behavior-based and hybrid control), control topologies, and system configurations (cellular automata, modular robotic systems, mobile sensor networks, swarms, heterogeneous systems). Topics may include, but are not limited to, multi-robot control and connectivity, path planning and localization, sensor fusion and robot informatics, task-level control, and robot software system design and implementation. These topics will be pursued through independent reading, class discussion, and a course project. The course will culminate in a group project focusing on a collaborative/cooperative multi-robot system. The project may be completed through simulation or hands-on experience with available robotic platforms. Groups will present their work and complete two professional-quality papers in IEEE format. Students cannot receive credit for this course if they have taken the Special Topics (ME 593S) version of the same course.

Prerequisites

Linear algebra, differential equations, linear systems, controls, and mature programming skills, or consent of the instructor.

ME 5205/RBE 580: Biomedical Robotics

Credits 2.0
Tags
Dynamics and Controls

This course will provide an overview of a multitude of biomedical applications of robotics. Applications covered include: image-guided surgery, percutaneous therapy, localization, robot-assisted surgery, simulation and augmented reality, laboratory and operating room automation, robotic rehabilitation, and socially assistive robots. Specific subject matter includes: medical imaging, coordinate systems and representations in 3D space, robot kinematics and control, validation, haptics, teleoperation, registration, calibration, image processing, tracking, and human-robot interaction.Topics will be discussed in lecture format followed by interactive discussion of related literature. The course will culminate in a team project covering one or more of the primary course focus areas.

ME 5220: Control of Linear Dynamical Systems

Credits 2.0
Tags
Dynamics and Controls

This course covers analysis and synthesis of control laws for linear dynamical systems. Fundamental concepts including canonical representations, the state transition matrix, and the properties of controllability and observability will be discussed. The existence and synthesis of stabilizing feedback control laws using pole placement and linear quadratic optimal control will be discussed. The design of Luenberger observers and Kalman filters will be introduced. Examples pertaining to aerospace engineering, such as stability analysis and augmentation of longitudinal and lateral aircraft dynamics, will be considered. Assignments and term project (if any) will focus on the design, analysis, and implementation of linear control for current engineering problems. The use of Matlab®/Simulink® for analysis and design will be emphasized.

ME 5221: Control of Nonlinear Dynamical Systems

Credits 2.0
Tags
Dynamics and Controls

Overview of stability concepts and examination of various methods for assessing stability such as linearization and Lyapunov methods. Introduction to various design methods based on linearization, sliding modes, adaptive control, and feedback linearization. Demonstration and performance analysis on engineering systems such as flexible robotic manipulators, mobile robots, spacecraft attitude control and aircraft control systems. Control synthesis and analysis is performed using Matlab®/Simulink®.

Prerequisites

Familiarity with ordinary differential equations, introductory control theory at the undergraduate level, fundamentals of linear algebra. Familiarity with Matlab® is strongly recommended

ME 5225: Fiber Optical Sensors

Credits 2.0
Tags
Dynamics and Controls

This course is designed to introduce students to the field of fiber optics, with an emphasis on design and working principles of fiber optical sensors for mechanical, biological, and chemical measurements. Students will be able to learn the basic knowledge and working principles of optical fibers and fiber optical components, as well as practical design guidelines and applications of fiber optical sensing systems. The first half of the course will introduce the fundamentals of fiber optics, including working principles of optical fibers, single-mode and multimode fibers, properties of optical fibers, passive fiber optical devices, light sources, and optical detectors. The second half will focus on practical fiber optical sensors and sensing systems, including working principles of fiber optical sensors, intensity-based and interferometer-based fiber optical sensors, fiber Bragg gratings, and low-coherence fiber optical interferometers. Specifically, design and implementation of fiber optical sensors and sensing systems for strain and pressure measurements will be discussed in detail. Measurement characteristics and signal processing of fiber optical sensing systems for different applications will be introduced.

ME 5304: Laser Metrology and Nondestructive Testing

Credits 2.0
Tags
Structures and Materials

Demands for increased performance and efficiency of components in the nano/micro-, meso-, and macro-scales, impose challenges to their engineering design, study, and optimization. These challenges are compounded by multidisciplinary applications to be developed inexpensively in short time while satisfying stringent design objectives. As a consequence, effective quantitative engineering methodologies, such as optical techniques, are frequently used in the study and optimization of advanced components and systems. In this course, modern laser metrology techniques are discussed and their practical applications to solve problems, with emphasis on nondestructive testing (NDT), are illustrated with laboratory demonstrations. Topics covered include wave and Fourier optics, classic and holographic interferometry, speckle techniques, solid-state lasers, fiber optics, CCD cameras, computer vision, camera calibration methods, and image processing and data reduction algorithms as required in quantitative fringe analysis. Detail examples of nondestructive testing and coherent optical metrology in solid mechanics, vibrations, heat transfer, electromagnetics, and reverse engineering are given. Students are required to work on projects depending on their background and interests. Students cannot receive credit for this course if they have taken the Special Topics (ME 593J) version of the same course or ME 534.

ME 5311/MTE 511: Structure and Properties of Engineering Materials

Credits 2.0
Tags
Structures and Materials

This course, (along with its companion course MTE 512 Properties and Performance of Engineering Materials), is designed to provide a comprehensive review of the fundamental principles of Materials Science and Engineering for incoming graduate students. In the first part of this 2-course sequence, the structure in materials ranging from the sub-atomic to the macroscopic including nano, micro and macromolecular structures will be discussed to highlight bonding mechanisms, crystallinity and defect patterns. Representative thermodynamic and kinetic aspects such as diffusion, phase diagrams, nucleation and growth and TTT diagrams will be discussed. Major structural parameters that effect of performance in materials including plastics, metallic alloys, ceramics and glasses will be emphasized. The principal processing techniques to shape materials and the effects of processing on structure will be highlighted. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594S).

Prerequisites

Senior or graduate standing or consent of the instructor.

ME 5312/MTE 512: Properties and Performance of Engineering Materials

Credits 2.0
Tags
Structures and Materials

The two introductory classes on materials science (MTE 511 and MTE 512) describe the structure-property relationships in materials. The purpose of this class is to provide a basic knowledge of the principles pertaining to the physical, mechanical and chemical properties of materials. The primary focus of this class will be on mechanical properties. The thermal, tensile, compressive, flexural and shear properties of metallic alloys, ceramics and glasses and plastics will be discussed. Fundamental aspects of fracture mechanics and viscoelasticity will be presented. An overview of dynamic properties such as fatigue, impact and creep will be provided. The relationship between the structural parameters and the preceding mechanical properties will be described. Basic composite theories will be presented to describe fiber-reinforced composites and nanocomposites. Various factors associated with material degradation during use will be discussed. Some introductory definitions of electrical and optical properties will be outlined. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594P).

Prerequisites

Senior or graduate standing or consent of the instructor.

ME 5313: Introduction to Nanomechanics

Credits 2.0
Tags
Structures and Materials

This course introduces students to nanomechanics. Topics covered include an introduction to mechanical systems, forces at the nano to atomic scales, cantilever theory, mechanics of 0D, ID and 2D nanomaterials, polymer chain nanomechanics, molecular recognition, wear friction and adhesion at the nanoscale, scale dependence of frictional resistance, nano-indentation, surface elasticity and viscoelasticity mapping, lubrication principles at the nanoscale, interfacial forces in confined fluids, mechanics of electrorheological and magnetic fluids.

ME 5314: Microsystems Technology

Credits 2.0
Tags
Structures and Materials

This course will build on the fundamentals of semiconductor manufacturing and its applications in micromechanical systems. Microsystems technology explores the science of miniaturization (the science of making small things). The course will discuss top-down and bottom-up manufacturing techniques, lithography, pattern transfer using additive and subtractive techniques, wet bulk micromachining, surface micromachining, LIGA and micromolding, scaling laws, and applications of miniaturized devices. Some examples of micro-devices such as accelerometers, pressure sensors, chemical sensors and biomedical sensors will be discussed.

ME 5356/MTE 556: Smart Materials

Credits 2.0
Tags
Structures and Materials

A material whose properties can respond to an external stimulus in a controlled fashion is referred to as a smart or intelligent material. These materials can be made to undergo changes modulus, shape, porosity, electrical conductivity, physical form, opacity, and magnetic properties based on an external stimulus. The stimuli can include temperature, pH, specific molecules, light, magnetic field, voltage and stress. These stimuli-sensitive materials can be utilized as sensors and as vehicles for the controlled delivery of drugs and other biomolecules in medical applications. Smart materials are also becoming important in other biological areas such as bio-separation, biosensor design, tissue engineering, protein folding, and microfluidics. The use of stimuli-sensitive materials is receiving increasing attention in the development of damage tolerant smart structures in aerospace, marine, automotive and earthquake resistant buildings. The use of smart materials is being explored for a range of applications including protective coatings, corrosion barriers, intelligent batteries, fabrics and food packaging. The purpose of this course is to provide an introduction to the various types of smart materials including polymers, ceramic, metallic alloys and composites. Fundamental principles associated with the onset of “smart” property will be highlighted. The principles of self-healable materials based on smart materials will be discussed. The application of smart materials in various fields including sensors, actuators, diagnostics, therapeutics, packaging and other advanced applications will be presented. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594X).

ME 5358/MTE 558: Plastics

Credits 2.0
Tags
Structures and Materials

This course will provide an integrated overview of the design, selection and use of synthetic plastics. The basic chemistry associated with polymerization and the structure of commercial plastics will be described. Various aspects of polymer crystallization and glass transition will be outlined. Salient aspects of fluid flow and heat transfer during the processing of plastics will be highlighted. Fundamentals of the diverse processing operations used to shape plastics and the resulting structures that develop after processing will be discussed. The mechanical behavior of plastics including elastic deformation, rubber elasticity, yielding, viscoelasticity, fracture and creep will be discussed. Plastic degradation and environmental issues associated with recycling and disposal of plastics will be examined. Typical techniques used in the analysis and testing of plastics will be described and a working knowledge of various terminologies used in commercial practice will be provided. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594A).

ME 5361/MTE 561: Mechanical Behavior and Fracture of Materials

Credits 2.0
Tags
Structures and Materials

The failure and wear-out mechanisms for a variety of materials (metals, ceramics, polymers, composites and microelectronics) and applications will be presented and discussed. Multi-axial failure theories and fracture mechanics will be discussed. The methodology and techniques for reliability analysis will also be presented and discussed. A materials systems approach will be used. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 593C/MTE 594C).

Prerequisites

ES 2502 and ME 3023 or equivalent, and senior or graduate standing in engineering or science.

ME 5370/MTE 5841/MFE 5841: Surface Metrology

Credits 3.0
Tags
Structures and Materials

This course emphasizes research applications of advanced surface metrology, including the measurement and analysis of surface roughness. Surface metrology can be important in a wide variety of situations including adhesion, friction, catalysis, heat transfer, mass transfer, scattering, biological growth, wear and wetting. These situations impact practically all the engineering disciplines and sciences. The course begins by considering basic principles and conventional analyses, and methods. Measurement and analysis methods are critically reviewed for utility. Students learn advanced methods for differentiating surface textures that are suspected of being different because of their performance or manufacture. Students will also learn methods for making correlations between surface textures and behavioral and manufacturing parameters. The results of applying these methods can be used to support the design and manufacture of surface textures, and to address issues in quality assurance. Examples of research from a broad range of applications are presented, including, food science, pavements, friction, adhesion, machining and grinding. Students do a major project of their choosing, which can involve either an in-depth literature review, or surface measurement and analysis. The facilities of WPI’s Surface Metrology Laboratory are available for making measurements for selected projects. Software for advanced analysis methods is also available for use in the course. No previous knowledge of surface metrology is required. Students should have some background in engineering, math or science. Students cannot receive credit for this course if they have received credit for ME 5371/MTE 5843/MFE 5843 Fundamentals of Surface Metrology or the Special Topics (ME 593/MTE 594/MFE 594) version of Fundamentals of Surface Metrology.

ME 5371/MFE 5843/MTE 5843: Fundamentals of Surface Metrology

Credits 2.0
Tags
Structures and Materials

Surface Metrology is about measuring, characterizing, and analyzing surface topographies or textures. This course covers conventional and developing measurement and characterization of roughness. It emphasizes research and covers a wide variety of applications, including, adhesion, friction, fatigue life, mass transfer, scattering, wear, manufacturing, food science, wetting, physical anthropology, and archeology. Surface metrology has applications in practically all engineering disciplines and sciences. Research principles are applied to critical evaluations of research methods. Students learn multiscale methods for discovering correlations between processing, textures, and behavior, and for discriminating surface textures supposed to be different because of their performance or manufacture. Results support product and process design, and quality assurance. Students create detailed project proposals on topics of their choosing, including literature reviews, preparation and testing of surfaces, measurements, characterizations, and analyses. Students cannot receive credit for this course if they have received credit for the Special Topics (ME 593/MTE 594/MFE 594) version of this course, or for ME 5370/MTE 5841/MFE 5841 Surface Metrology.

ME 5380: Foundations of Elasticity

Credits 2.0
Tags
Structures and Materials

This course is suitable as an introductory graduate level course. Topics will be chosen from the following: three-dimensional states of stress; measures of strain; thick-walled cylinders, disks and spheres; plane stress and plane strain; thermoelasticity; Airy stress function; energy methods, and exact theory for torsion of noncircular cross sections. This course may be taken independent of ME 5302.

ME 5381: Applied Elasticity

Credits 2.0
Tags
Structures and Materials

This course is suitable as an introductory graduate level course. Topics covered will be chosen from the following: bending and shear stresses in unsymmetric beams; bending of composite beams; bending of curved beams; torsion of thin-walled noncircular cross sections; beams on elastic foundations; stress concentrations; failure criteria; stability of columns; and bending of plates. This course may be taken independent of ME 5301.

ME 5383/CE 514: Continuum Mechanics

Credits 2.0
Tags
Structures and Materials

This course covers the fundamentals of continuum mechanics at an introductory graduate level. Topics covered include: 1) Introduction: essential mathematics - scalars, vectors, tensors, and indicial notation; 2) Basics: three-dimensional states of stress, finite and infinitesimal measures strain, and principal axes; 3) Conservations laws: mass, linear momentum, angular momentum and energy; 4) Constitutive equations: ideal materials, Newtonian fluids, isotropy and anisotropy, elasticity and thermoelasticity, plasticity, and viscoelasticity; 5) Applications to classical problems and emerging topics in solid and fluid mechanics.

ME 5385/MFE 5385/MTE 5385: Metal Additive Manufacturing

Credits 2.0
Tags
Structures and Materials

Additive Manufacturing (AM), popularly known as 3D printing, is a technique in which parts are fabricated in a layer-by-layer fashion. The focus of this course is on direct metal AM processes that are used in aerospace, automobile, medical, and energy industries. The objective of the course is to enable students to understand the working principles of various additive manufacturing processes, assess the suitability of metal AM processes for different designs and applications, apply process design concepts to metal AM processes via analytical and finite element modeling approaches, and have an introductory-level understanding of design for AM. Through the course project, students will have the opportunity to experience hands-on design, manufacturing, and characterization of additively manufactured materials, and will work in an interdisciplinary team of mechanical, materials, and manufacturing engineers. The economics of the manufacturing process will also be addressed, with an emphasis on determining the major cost drivers and discussing cost minimization strategies. Students cannot receive credit for this course if they have received credit for the Special Topics (ME 593/MTE 594) version of the same course.

ME 5390/MTE 5390: Solar Cells

The objective of this course is to provide students with an understanding of the working principles, design, fabrication and characterization of established and emerging solar cell technologies. Students will be exposed to the electronic properties of semiconductor materials, which are the building blocks of solar cells, and the analysis of photo-generation and extraction of charges in these materials. The course will emphasize the influence of the atomic-, nano- and micro-scale structure of the materials on the solar cell performance. In addition, the challenges of economics and scalability that must be addressed to increase the deployment of solar cells will be discussed. Students cannot receive credit for this course if they have received credit for the Special Topics (ME 593/MTE 594) version of the same course.

ME 5401: Computer-Aided Design and Geometric Modeling

Credits 2.0
Tags
Design and Manufacturing

This course covers topics in computer-aided geometric design and applications in mechanical engineering. The objectives of the course are to familiarize the students with complex geometric modeling and analytical techniques used in contemporary computer-aided design systems. Topics to be covered may include complex curve and surface generation, solid modeling, assembly and mechanism modeling, transformations, analytic geometry, offsets and intersections of complex shapes, graphics standards and data transfer, rendering techniques, parametric design and geometric optimization, numerical methods for geometric analysis and graphics design programming.

Prerequisites

Calculus, linear algebra, introductory computer programming, and ability to utilize a solid modeling CAD system. Students cannot receive credit for this course if they have taken the Special Topics (ME 593C) version of the same course or ME 545.

ME 5431/MFE 531: Computer Aided Manufacturing

Credits 2.0
Tags
Design and Manufacturing

An overview of computer-integrated manufacturing (CIM). As the CIM concept attempts to integrate all of the business and engineering functions of a firm, this course builds on the knowledge of computer-aided design, computer-aided manufacturing, concurrent engineering, management of information systems and operations management to demonstrate the strategic importance of integration. Emphasis is placed on CAD/CAM integration. Topics include, part design specification and manufacturing quality, tooling and fixture design, and manufacturing information systems. This course includes a group term project. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (ME 593D/MFE 594D).

Prerequisites

Background in manufacturing and CAD/CAM, e.g., ME 1800, ES 1310, ME 3820.

ME 5441/MFE 541: Design for Manufacturability

Credits 2.0
Tags
Design and Manufacturing

The problems of cost determination and evaluation of processing alternatives in the design and manufacturing interface are discussed. Approaches for introducing manufacturing capability knowledge into the product design process are covered. An emphasis is placed on part and process simplification, and analysis of alternative manufacturing methods based on such parameters as: anticipated volume, product life cycle, lead time, customer requirements, and quality yield. Lean manufacturing and Six-Sigma concepts and their influence on design quality are included as well. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MFE 594M).

ME 6108: Intermediate Computational Fluid Dynamics

Credits 2.0

The course presents computational methods for incompressible and compressible viscous flows at an intermediate level. Topics are chosen from: grid generation techniques; finite volume schemes; stability analysis; artificial viscosity; explicit and implicit schemes; flux-vector splitting; monotonic advection schemes; multigrid methods; particle-based simulation methods. Students who have received credit for AE/ME 3103 will not receive credit for AE/ME 6108.

Prerequisites

fluid dynamics; an introductory course in numerical methods for partial differential equations; programming language experience)

ME 6201: Advanced Topics in Vibration

Credits 2.0
The course presents advanced topics in vibrations of machines and structures: dynamic stability analysis for linear nonconservative systems with applications to aeroelasticity and rotordynamics such as whirling of shafts with internal energy dissipation; introduction into theory of nonlinear and parametric vibrations in machines and structures; probabilistic approach in dynamics - analysis of random vibrations with applications to reliability evaluation in earthquake engineering, offshore engineering, etc. Use of random vibration analyses is illustrated for online condition monitoring for machines and structures (mechanical signature analysis), such as detecting instability and evaluating stability margin for a nonconservative system from its online measured signal. Introduction into general vibration theory makes the course self-contained (background in ME 522 preferable but not necessary). Students cannot receive credit for this course if they have taken the Special Topics (ME 593B) version of the same course.

MFE 520/MTE 520/ME 543: Axiomatic Design of Manufacturing Processes

Credits 3.0
Tags
Design and Manufacturing

This course begins with elements axiomatic design, the theory and practice. Design applications are considered primarily, although not exclusively, for the design of manufacturing processes and tools. Axiomatic design is based on the premise that there are common aspects to all good designs. These commons aspects, stated in the independence and information axioms, facilitate the teaching and practice of engineering design as a scientific discipline. Analysis of processes and products is considered from the perspective of supporting product and process design. Fundamental methods of engineering analysis of manufacturing processes with broad applicability are developed. Attention is given to examples from one or more of the following: machining (traditional, nontraditional and grinding), additive manufacturing, and to the production of surface topographies. The ability to generalize from detailed examples is emphasized in order to facilitate the students’ ability to development analyses and design methods with broader applicability. This course is offered live, in-class only, to be completed in one semester, for three credits. Credit cannot be given for this course and any of the similar, online versions of this material for 2 credits: MFE 521, MTE 521.

MFE 531/ME 5431: Computer Integrated Manufacturing

An overview of computer-integrated manufacturing (CIM). As the CIM concept attempts to integrate all of the business and engineering functions of a firm, this course builds on the knowledge of computer-aided design, computer-aided manufacturing, concurrent engineering, management of information systems and operations management to demonstrate the strategic importance of integration. Emphasis is placed on CAD/CAM integration. Topics include, part design specification and manufacturing quality, tooling and fixture design, and manufacturing information systems. This course includes a group term project. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MFE 593D/MFE 594D

Prerequisites

Background in manufacturing and CAD/CAM, e.g., ME 1800, ES 1310, ME 3820.)

MFE 541/ME 5441: Design for Manufacturability

The problems of cost determination and evaluation of processing alternatives in the designmanufacturing interface are discussed. Approaches for introducing manufacturing capability knowledge into the product design process are covered. An emphasis is placed on part and process simplification, and analysis of alternative manufacturing methods based on such parameters as: anticipated volume, product life cycle, lead time, customer requirements, and quality yield. Lean manufacturing and Six-Sigma concepts and their influence on design quality are included as well. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MFE594M).

MTE/ME 5847: Materials for Electrochemical Energy Systems

An introductory course on electrochemical engineering, fuel cells and batteries. With escalating oil prices and increasing environmental concerns, increasing attention is being paid to the development of electrochemical devices to replace traditional energy. Here several types of batteries and fuel cells will be discussed. Topics covered include: basic electrochemistry, lithium ion battery, proton exchange membrane fuel cell, solid oxide fuel cell, electrochemical method. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course.

MTE 511/ME 5311: Structure and Properties of Engineering Materials

This course, (along with its companion course MTE 512 Properties and Performance of Engineering Materials), is designed to provide a comprehensive review of the fundamental principles of Materials Science and Engineering for incoming graduate students. In the first part of this 2 course sequence, the structure in materials ranging from the sub-atomic to the macroscopic including nano, micro and macromolecular structures will be discussed to highlight bonding mechanisms, crystallinity and defect patterns. Representative thermodynamic and kinetic aspects such as diffusion, phase diagrams, nucleation and growth and TTT diagrams will be discussed. Major structural parameters that effect of performance in materials including plastics, metallic alloys, ceramics and glasses will be emphasized. The principal processing techniques to shape materials and the effects of processing on structure will be highlighted. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594S

Prerequisites

senior or graduate standing or consent of the instructor.

MTE 512/ME 531: Properties and Performance of Engineering Materials

The two introductory classes on materials science (MTE 511 and MTE 512) describe the structure-property relationships in materials. The purpose of this class is to provide a basic knowledge of the principles pertaining to the physical, mechanical and chemical properties of materials. The primary focus of this class will be on mechanical properties. The thermal, tensile, compressive, flexural and shear properties of metallic alloys, ceramics and glasses and plastics will be discussed. Fundamental aspects of fracture mechanics and viscoelasticity will be presented. An overview of dynamic properties such as fatigue, impact and creep will be provided. The relationship between the structural parameters and the preceding mechanical properties will be described. Basic composite theories will be presented to describe fiber-reinforced composites and nanocomposites. Various factors associated with material degradation during use will be discussed. Some introductory definitions of electrical and optical properties will be outlined. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594P).

Prerequisites

MTE 511 and senior or graduate standing or consent of the instructor

MTE 556/ME 5356: Smart Materials

A material whose properties can respond to an external stimulus in a controlled fashion is referred to as a smart or intelligent material. These materials can be made to undergo changes modulus, shape, porosity, electrical conductivity, physical form, opacity, and magnetic properties based on an external stimulus. The stimuli can include temperature, pH, specific molecules, light, magnetic field, voltage and stress. These stimuli-sensitive materials can be utilized as sensors and as vehicles for the controlled delivery of drugs and other biomolecules in medical applications. Smart materials are also becoming important in other biological areas such as bio-separation, biosensor design, tissue engineering, protein folding, and microfluidics. The use of stimuli-sensitive materials is receiving increasing attention in the development of damage tolerant smart structures in aerospace, marine, automotive and earth quake resistant buildings. The use of smart materials is being explored for a range of applications including protective coatings, corrosion barriers, intelligent batteries, fabrics and food packaging. The purpose of this course is to provide an introduction to the various types of smart materials including polymers, ceramic, metallic alloys and composites. Fundamental principles associated with the onset of “smart” property will be highlighted. The principles of self-healable materials based on smart materials will be discussed. The application of smart materials in various fields including sensors, actuators, diagnostics, therapeutics, packaging and other advanced applications will be presented. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594).

MTE 561/ME 5361: Mechanical Behavior and Fracture of Materials

Credits 2.0
Tags
Structures and Materials

The failure and wear-out mechanisms for a variety of materials (metals, ceramics, polymers, composites and microelectronics) and applications will be presented and discussed. Multi-axial failure theories and fracture mechanics will be discussed. The methodology and techniques for reliability analysis will also be presented and discussed. A materials systems approach will be used. Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 593C/MTE 594C).

Prerequisites

ES 2502 and ME 3023 or equivalent, and senior or graduate standing in engineering or science.

MTE 575/ME 4875: Introduction to Nanomaterials and Nanotechnology

This course introduces students to current developments in nanoscale science and technology. The current advance of materials and devices constituting of building blocks of metals, semiconductors, ceramics or polymers that are nanometer size (1-100 nm) are reviewed. The profound implications for technology and science of this research field are discussed. The differences of the properties of matter on the nanometer scale from those on the macroscopic scale due to the size confinement, predominance of interfacial phenomena and quantum mechanics are studied. The main issues and techniques relevant to science and technologies on the nanometer scale are considered. New developments in this field and future perspectives are presented. Topics covered include: fabrication of nanoscale structures, characterization at nanoscale, molecular electronics, nanoscale mechanics, new architecture, nano optics and societal impacts.

MTE 5390/ME 5390: Solar Cells

Credits 2.0
Tags
Structures and Materials

The objective of this course is to provide students with an understanding of the working principles, design, fabrication and characterization of established and emerging solar cell technologies. Students will be exposed to the electronic properties of semiconductor materials, which are the building blocks of solar cells, and the analysis of photo-generation and extraction of charges in these materials. The course will emphasize the influence of the atomic-, nano- and micro-scale structure of the materials on the solar cell performance. In addition, the challenges of economics and scalability that must be addressed to increase the deployment of solar cells will be discussed. Students cannot receive credit for this course if they have received credit for the Special Topics (ME 593/MTE 594) version of the same course.

RBE 501/ME 501: Robot Dynamics

Credits 3.0
Tags
Dynamics and Controls

Foundations and principles of robot dynamics. Topics include system modeling including dynamical modeling of serial arm robots using Newton and Lagrange’s techniques, dynamical modeling of mobile robots, introduction to dynamics-based robot control, as well as advanced techniques for serial arm forward kinematics, trajectory planning, singularity and manipulability, and vision-based control. In addition, dynamic simulation techniques will be covered to apply the concepts learned using realistic simulators. An end of term team project would allow students to apply mastery of the subject to real-world robotic platforms.

Prerequisites

RBE 500 or equivalent

RBE 501/ME 501: Robot Dynamics

Foundations and principles of robot dynamics. Topics include system modeling including dynamical modeling of serial arm robots using Newton and Lagrange’s techniques, dynamical modeling of mobile robots, introduction to dynamics-based robot control, as well as advanced techniques for serial arm forward kinematics, trajectory planning, singularity and manipulability, and vision-based control. In addition, dynamic simulation techniques will be covered to apply the concepts learned using realistic simulators. An end of term team project would allow students to apply mastery of the subject to real-world robotic platforms.

Prerequisites

RBE 500 or equivalent

RBE 521/ME 521: Legged Robotics

Foundations and principles of parallel manipulators and legged robots. Topics include advanced spatial/3D kinematics and dynamics of parallel manipulators and legged robots including workspace analysis, inverse and forward kinematics and dynamics, motion analysis and control, and gait and stability/balance analysis of legged robots. The course will be useful for solving problems dealing with parallel manipulators as well as multi-legged robots including, but not limited to, quadruped robots, hexapod robots and any other types of multi-legged robots. A final term project allows students to show mastery of the subject by designing, analyzing, and simulating parallel and/or legged robots of their choice.

RBE 530/ME 530: Soft Robotics

Soft robotics studies “intelligent” machines and devices that incorporate some form of compliance in their mechanics. Elasticity is not a byproduct but an integral part of these systems, responsible for inherent safety, adaptation and part of the computation in this class of robots. This course will cover a number of major topics of soft robotics including but not limited to design and fabrication of soft systems, elastic actuation, embedded intelligence, soft robotic modeling and control, and fluidic power. Students will implement new design and fabrication methodologies of soft robots, read recent literature in the field, and complete a project to supplement the course material. Existing soft robotic platforms will be available for experimental work.

Prerequisites

Differential equations, linear algebra, stress analysis, kinematics, embedded programming.