Mechanical & Materials Engineering

Undergraduate Courses


Cat. II
This course explores science and engineering issues associated with equipment and technique for alpine skiing, particularly racing. A diverse group of technical subjects related to engineering mechanics are discussed: tribology, beams, rigid body motion, material science, machining and biomechanics. Specifically we will examine: ski-snow interactions, technique for gliding, turning and stepping, selection of line in racing; equipment design, testing and performance; and ski injuries. We will also address issues in the epidemiology of skiing injuries, the calculation of the cost of ski injuries to society, the impact of ski equipment technology on litigation and the impact of litigation on equipment and trail design.
This course will be offered in 2016-17, and in alternating years thereafter.


Cat. I

This course introduces students to manufacturing science and engineering and
prototype part production. It emphasizes CNC (computer-controlled)
machining. Students will learn how to go from a solid (CAD, computer-aided
design) model to a machined part, using CAM software (computer-aided
manufacturing) and CNC machining. They will also be exposed to associated
issues in manufacturing process analysis, engineering design, material science,
and in dimensional and surface metrology. Using machining as an example, the
science of manufacturing processes is developed in a combination of class work
and laboratory experience. The laboratory experience includes an experimental
component that relates process variables in machining with performance and
machined part quality. Students whose project work will necessitate fabrication
of parts and those who want a background in manufacturing process science and
engineering should take this course.


Cat. I
This project based course introduces students to the engineering design process including; identifying the need, benchmarking, writing design specifications, evaluating alternative designs and selecting a final design. Student groups will construct and evaluate a working prototype of their design. Additional topics include; creativity, product liability, reverse engineering, patents, and codes of ethics for engineers. Extensive written reports and oral presentations are required.
Recommended background: computer-aided design (ES 1310), mechanics (ES 2501, ES 2502), and materials (ME 1800).


Cat. I
The purpose of this course is to introduce concepts of programming and numerical methods using Matlab within an engineering framework. The course will review basic linear algebra, statics, stress analysis, and engineering governing equations with solution pathways developed and presented as numerical programming problems. The fundamental programming techniques cover a variety of input and output formats typically encountered in engineering situations. Control and conditional loops, recognizing and controlling numerical error, numerical integration and differentiation will be introduced and developed within an engineering framework.
Recommended background: Statics (ES 2501), Stress Analysis (ES 2502), General Physics-Mechanics (PH 1110), Differential and Integral Calculus (MA 1021, MA 1022) or equivalents.


Cat. I

An introduction to material processing in manufacturing. This course provides
important background for anyone interested in manufacturing, design
engineering design, sales, or management.

Processing of polymers, ceramics, metals and composites is discussed. Processes
covered include: rolling, injection molding, forging, powder metallurgy, joining
and machining. The relationships between materials, processes, processing
parameters and the properties of manufactured parts are developed. During the
course the students should develop the ability to choose materials, processes, and
processing parameters for designing manufacturing procedures to take a
prototype part to production.

Recommended background: ME 1800 Materials Selection and Manufacturing
Processes, and ES 2001 Introduction to Materials Science.


Cat. I

An introduction to the synthesis and analysis of linkages, cams and gear trains is
presented. The design process is introduced and used to solve unstructured
design problems in linkage and cam design. Algebraic and graphical techniques
to analyze the displacement, velocity and acceleration of linkages and cams are
developed. Computer programs for the design and analysis of linkages are used
by students. Results of student design projects are presented in professional
engineering reports.

Recommended background: Ordinary Differential Equations (MA 2051),
statics (ES 2501), dynamics (ES 2503).


Cat. II
This course provides an in-depth study of forces in dynamic systems. Dynamic
force analysis is developed using matrix methods. Computer programs are used
to solve the sets of simultaneous equations derived by students for realistic,
unstructured design problems. Inertial and shaking forces, elementary
mechanical vibrations, torque-time functions, rotational and reciprocating
balance and cam dynamics are covered using the internal combustion engine as a
design example. Students execute unstructured design projects and prepare
professional engineering reports on the results. Computers are used extensively
to solve the dynamic equations.
Recommended background: Ordinary Differential Equations (MA 2051),
statics (ES 2501), dynamics (ES 2503), kinematics (ME 3310), linear algebra.
This course will be offered in 2016-17, and in alternating years thereafter.


Cat. I

This is an introductory course in mechanical design analysis, and it examines
stress and fatigue in many machine elements. Common machine elements are
studied and methods of selection and design are related to the associated

Topics covered include: combined stresses, fatigue analysis, design of shafts,
springs, gears, bearings and miscellaneous machine elements.

Recommended background: mechanics (ES 2501, ES 2502, ES 2503),
materials (ME 1800, ME 2820), computer programming (CS 1101 or CS 1102).


Cat. I This course provides a mixture of theory and applications and covers topics not found in the introductory course in fluid mechanics. Topics include kinematics of fluid flow, potential flow, Navier-Stokes and the theory of viscous flow, basic turbulence, boundary layer theory, and introduction to compressible flow. Recommended background: Introductory fluid mechanics (ES 3004, or equivalent)


Cat. II
In typical mathematics courses, students learn principles and techniques by
solving many short and specially prepared problems. They rarely gain experience
in formulating and solving mathematical equations that apply to real life
engineering problems. This course will give students this type of applied
mathematical experience.

The course emphasizes the application of basic laws of nature as they apply to
differential elements which lead to differential equations that need to be solved; all of these ideas are used in higher level engineering science courses such as fluid
mechanics, heat transfer, elasticity, etc. Emphasis will be placed on understanding
the physical concepts in a problem, selecting appropriate differential
elements, developing differential equations, and finding ways to solve these
equations. Limitations on the mathematical solutions due to assumptions made
will be considered.

Recommended background: Ordinary Differential Equations (MA 2051),
statics (ES 2501), dynamics (ES 2503).
This course will be offered in 2016-17, and in alternating years thereafter.


Cat. I
This project based design course focuses on the design and use of devices to aid persons with disabilities. Human factors and ergonomics are integrated into all phases of the design process with particular emphasis on the user interface.
Topics include: defining the problem, developing design specifications, development of preliminary designs, selecting, realization and evaluation of a final design. Students will also learn how physical and cognitive parameters, safety, economics, reliability and aesthetics need to be incorporated into the design process.
Recommended background: mechanics (ES 2501, ES 2502, ES 2503), design (ME 2300), materials (ME 1800) and electrical engineering (ECE 2010).


Cat. I
The course introduces the mathematical modeling and control of dynamical systems found in aerospace and mechanical engineering applications. Topics include: introduction to feedback control analysis and synthesis of linear dynamic systems; transient response analysis of first and second order systems (thermal, pneumatic, hydraulic, and mechanical); introduction to state-space modeling and representation of control systems; linearization of nonlinear systems; stability analysis using Routh’s criterion and Lyapunov methods; system analysis using frequency response methods; introduction to the design of controlers in time and frequency domain. The analysis and design will be
accomplished with Matlab/Simulink software.
Recommended background: ordinary differential equations (MA 2051 or equivalent), dynamics (ES 2503, PH 2201, PH 2202 or equivalent), fluid dynamics (ES3004, AE/ME 3602 or equivalent), electricity and magnetism (PH 1120 or PH 1121 or equivalent)


Cat. I

This introductory course in modern control systems will give students an
understanding of the basic techniques, and the range of equipment used in most
computer controlled manufacturing operations. The class work is reinforced by
hands-on laboratories in the Robotics/CAM lab. Modeling and analysis of
machining processes, and applications of PLC (programmable logic control) are

Class topics include: Manufacturing Automation, Microcomputers for Process
Monitoring and Control, Computer Numerical Control, Switching Theory and
Ladder Logic, Transducers and Signal Conditioning, and Closed Loop Digital
Control. The laboratories allow students to program and implement several
types of the controllers, and will provide an introduction to the topic of
industrial robotics.
Recommended background: manufacturing (ME 1800), materials processing
(ME 2820), elementary computer/logic device programming.


Cat. I

A course designed to develop analytical and experimental skills in modern
engineering measurement methods, based on electronic instrumentation and
computer-based data acquisition systems. The lectures are concerned with the
engineering analysis and design as well as the principles of instrumentation,
whereas the laboratory periods afford the student an opportunity to use modern
devices in actual experiments.

Lecture topics include: review of engineering fundamentals and, among
others, discussions of standards, measurement and sensing devices, experiment
planning, data acquisition, analysis of experimental data, and report writing.

Laboratory experiments address both mechanical and thermal systems and
instrumentation in either traditional mechanical engineering (heat transfer, flow
measurement/visualization, force/torque/strain measurement, motion/vibration
measurement) or materials engineering (temperature and pressure measurements
in materials processing, measurement of strain and position in mechanical
testing of materials). Each year students will be notified which type of
experiments will be used in each term offering. Students may also consult with
their academic advisor or the Mechanical Engineering department office.

Recommended background: mathematics (MA 2051), thermo-fluids (ES
3001, ES 3003, ES 3004), mechanics (ES 2501, ES 2502, ES 2503 or equivalent), materials
(ES 2001 or equivalent).


Cat. I This course is designed to develop experimental skills in engineering measurement methods, based on electronic instrumentation and computer-based data acquisition systems, such as the Raspberry Pi (a primarily digital microprocessor) and an Arduino (a primarily analog microcontroller). The lectures are concerned with the engineering design requirements as well as the principles of instrumentation, whereas the laboratory modules afford the student an opportunity to use these devices in actual experiments. Lecture topics include: discussions of standards, measurement and sensing devices, experiment planning, data acquisition, analysis of experimental data, and report writing. Laboratory experiments address mechanical (force/torque/strain measurements, motion/vibration measurements), energy (heat transfer, temperature, flow measurements), materials measurements (materials processing, measurement of strain and position in mechanical testing of materials), and instrumentation. The course culminates with an open-ended project of the students choosing. This open-ended project will illuminate the skills gained by the student to utilize multiple sensors and equipment to monitor and/or control physical situations.

Recommended background: introductory heat transfer (ES3003 or equivalent), introductory stress and dynamic mechanics (ES 2502 & ES 2503 or equivalents), introductory electrical and computer engineering (ES2010 or equivalent) and introductory materials (such as ES 2001 or equivalent).


Cat. I

This course integrates students' background in ME in a one-term design
project that is usually taken from a local company. Students must organize
themselves and the project to successfully realize a product that meets customer
needs. Activities include problem definition, design analysis, mathematical
modelling, CAD modelling, manufacturing, testing, liaison to vendors,
customer relations, marketing, technical management, purchasing, report
writing, and oral presentations.
Recommended background: mechanisms (ME 3310, ME 3311), stress
analysis (ES 3502), design (ME 3320), thermo-fluids (ES 3001, ES 3003,
ES 3004), materials (ES 2001), manufacturing (ME 1800).


Cat. I

This course introduces students to the modeling and analysis of mechatronic
systems. Creation of dynamic models and analysis of model response using the bond graph modeling language are emphasized. Lecture topics include energy
storage and dissipation elements, transducers, transformers, formulation of equations for dynamic systems, time response of linear systems, and system
control through open and closed feedback loops. Computers are used extensively
for system modeling, analysis, and control. Hands-on projects will include the
reverse engineering and modeling of various physical systems. Physical models
may sometimes also be built and tested.

Recommended background: mathematics (MA 2051, MA 2071), fluids (ES 3004), thermodynamics (ES 3001), mechanics (ES 2501, ES 2503).


This course introduces students to design of small and large scale optimal thermal systems. The hardware associated with thermal systems includes fans, pumps, compressors, engines, expanders, turbines, heat and mass exchangers, and reactors, all interconnected with some form of conduits. Generally, the working substances are fluids. These types of systems appear in such industries as power generation, electric and gas utilities, refrigeration and cryogenics, air conditioning and heating, food, chemical, petroleum, and other process industries.
This course is intended for mechanical engineering students, especially those seeking a concentration in Thermal-Fluids. Additionally, this course might be of interest to students in Aerospace Engineering and Chemical Engineering.
Recommended Background: Knowledge in thermodynamics (ES 3001), fluid mechanics (ES 3004), heat transfer (ES 3003), and introduction to design (ME 2300)


Cat. II Radiation Heat Transfer Applications will develop the student’s knowledge of radiation and multi-mode heat transfer. Fundamentals of radiation will be covered: radiative properties of surfaces; view factors; exchange between black and grey surfaces; emission and absorption of gases; and flame radiation. Use of numerical methods will be emphasized as appropriate for solution of applications: the select numerical methods (numerical integration, matrix methods, ODE solutions) can be learned during the course. The course will conclude with a design exercise to be completed by each student. Each exercise will highlight radiation in a realistic scenario that requires multi-mode heat transfer and fluid mechanics analysis to develop the design solution. Exercise topics will come from subjects such as: solar power plants, solar effects on buildings, furnaces, fire safety in the built environment, etc. Recommended background: differential and integral calculus, and ordinary differential equations (MA 2051 or equivalent), and thermodynamics, fluid mechanics and heat transfer (ES 3001, 3004, 3003 or equivalents). Students may not receive credit for both ME 4424 and ME 442X. This course will be offered in 2020-21, and in alternating years thereafter.


Cat. I
This course integrates thermodynamics, fluid mechanics and heat transfer through the use of design projects involving modern technologies, such as electronic cooling, vapor compression power and refrigeration cycles. Activities include problem definition, design creation and analysis, mathematical modeling, cost analysis and optimization.
Recommended background: Knowledge in thermodynamics, fluid mechanics, heat transfer and introduction to design (ES 3001, ES 3004 and ES 3003 or equivalent).


Cat. II
Current state-of-the-art computer based methodologies used in the design and analysis
of thermomechanical systems will be presented and illustrated by selected laboratory
demonstrations, and used in projects. Projects will include thermal, mechanical,
electronic, and photonic loads of steady state and dynamic nature and will integrate
design, analysis, and testing. Students will prepare a technical report and present their
results. Topics will include, but not be limited to, thermomechanics of fiber optic
telecommunication cables, high-energy beam interactions with materials, shape
memory alloys, microelectronics, MEMS and mechatronics.

Recommended background: MA 2051, ES 2001, ES 2502, ES 3003,
ME 3901, and an introduction to design.
This course will be offered in 2016-17, and in alternating years thereafter.


Cat. I
This course emphasizes the applications of mechanics to describe the material properties of living tissues. It is concerned with the description and measurements of these properties as related to their physiological functions. Emphasis on the interrelationship between biomechanics and physiology in medicine, surgery, body injury and prostheses. Topics covered include: review of basic mechanics, stress, strain, constitutive equations and the field equations, viscoelastic behavior, and models of material behavior. The measurement and characterization of properties of tendons, skin, muscles and bone. Biomechanics as related to body injury and the design of prosthetic devices.

Recommended background: mechanics (ES 2501, ES 2502, ES 2503, ME 3501), mathematics (MA 2051).


This course provides natural continuation of the course ES 2503 (Introduction to Dynamic Systems). The main extension is advanced three-dimensional kinematics and dynamics, with illustrations of application to engineering problems. In particular a variety of inherently 3D phenomena is described whereby a rigid body rotates around an axis, which itself may rotate (gyroscopic effects). A set of new topics includes, among others, Introduction into Rotordynamics (bringing in concept of critical rotation speed); swings-effect and its use in engineering with computer-based miniproject; and brief introduction to stability analysis.
While the main part of the course is based on direct use of the Newton’s Laws, a brief introduction into Analytical Mechanics is presented as an alternative approach to Dynamics. The corresponding part of the course includes principle of virtual work and Lagrange equations.
Recommended background: Introduction to Dynamic Systems (ES-2503)


Cat. I

This course is an introduction to the fundamental concepts of mechanical
vibrations, which are important for design and analysis of mechanical and
structural systems subjected to time-varying loads. The objective of the course is
to expose the students to mathematical modeling and analysis of such systems
Topics covered include: formulation of the equations of motion using
Newton's Laws, D'Alembert's Principle and energy methods; prediction of
natural frequency for single-degree-of-freedom systems; modeling stiffness
characteristics, damping and other vibrational properties of mechanical systems; basic solution techniques by frequency response analysis and convolution
integral methods. Examples may include analysis and design for transient
passage through resonance; analysis and design of vibration measurement
devices; introductory rotordynamics. The course is mainly focused on analysis of
single-degree-of-freedom systems, however a basic introduction into multidegree-
of-freedom systems is also presented. Computer-based project may be

Recommended background: Ordinary Differential Equations (MA 2501),
Statics (ES 2501), Dynamics (ES 2503).


Cat. I

This course serves as an introduction to finite element analysis (FEA) for stress
analysis problems. Finite element equations are developed for several element
types from stiffness and energy approaches and used to solve simple problems.
Element types considered include spring, truss, beam, two-dimensional (plane
stress/strain and axisymmetric solid), three-dimensional and plates. Stress
concentrations, static failures, and fatigue failures are considered for each
element type. Emphasis will be placed on knowing the behavior and usage of
each element type, being able to select a suitable finite element model for a given
problem, and being able to interpret and evaluate the solution quality. A
commercial, general-purpose finite element computer program is used to solve
problems that are more complex. Projects are used to introduce the use of FEA
in the iterative design process.

Recommended background: Mathematics (MA 2051, MA 2071), Mechanics
(ES 2501 & ES 2502 or CE 2000 & CE 2001).


Cat. II
This course emphasizes the applications of fluid mechanics to biological
problems. The course concentrates primarily on the human circulatory and
respiratory systems. Topics covered include: blood flow in the heart, arteries,
veins and microcirculation and air flow in the lungs and airways. Mass transfer
across the walls of these systems is also presented.

Recommended background: continuum mechanics (ME 3501), fluids (ES 3004).
This course will be offered in 2016-17, and in alternating years thereafter.


Cat. II
This course focuses on materials used in the automotive industry. Students
complete a term-long project that integrates design, materials selection and
processing considerations. Activities include: problem definition, development
of design specifications, development and analysis of alternative designs,
conceptual designs and materials and process selection. Students will consider
cost, and environmental impact of alternative material choices. Students will
present their results in intermediate and final design reviews.

Recommended background: materials science (ES 2001), stress analysis
(ES 2502), or equivalent.
This course will be offered in 2015-16, and in alternating years thereafter.


Cat. II
This course develops an understanding of the processing, structure, property,
performance relationships in crystalline and vitreous ceramics. The topics
covered include crystal structure, glassy structure, phase diagrams, microstructures,
mechanical properties, optical properties, thermal properties, and
materials selection for ceramic materials. In addition the methods for processing
ceramics for a variety of products will be included.

Recommended Background: ES 2001 or equivalent.
This course will be offered in 2016-17, and in alternating years thereafter.


Cat. I
A course specializing in material selection and special problems associated with biomedical engineering.
Topics covered include: fundamentals of metals, plastics, and ceramics and how they can be applied to biomedical applications. Case histories of successful and unsuccessful material selections. Current literature is the primary source of material.
Recommended background: materials (ES 2001).


Cat. I

This course introduces students to robotics within manufacturing systems.
Topics include: classification of robots, robot kinematics, motion generation and
transmission, end effectors, motion accuracy, sensors, robot control and
automation. This course is a combination of lecture, laboratory and project
work, and utilizes industrial robots. Through the laboratory work, students will
become familiar with robotic programming (using a robotic programming
language VAL II) and the robotic teaching mode. The experimental component
of the laboratory exercise measures the motion and positioning capabilities of
robots as a function of several robotic variables and levels, and it includes the use
of experimental design techniques and analysis of variance.
Recommended background: manufacturing (ME 1800), kinematics
(ME 3310), control (ES 3011), and computer programming.


Cat. II
This course develops the processing, structure, property, performance
relationships in plastic materials. The topics covered include polymerization
processes, chain structure and configuration, molecular weights and distributions,
amorphous and crystalline states and glass-rubber transition. The
principles of various processing techniques including injection molding,
extrusion, blow molding, thermoforming and calendaring will be discussed. The
physical and mechanical properties of polymers and polymer melts will be
described with specific attention to rheology and viscoelasticity. Pertinent issues
related to environmental degradation and recyclability will be highlighted.

Recommended Background: ES 2001 or equivalent.
This course will be offered in 2015-16, and in alternating years thereafter.


Cat. II
An introductory course designed to acquaint the student with the different
forms of corrosion and the fundamentals of oxidation and electro-chemical

Topics covered include: corrosion principles, environmental effects,
metallurgical aspects, galvanic corrosion, crevice corrosion, pitting, intergranular
corrosion, erosion corrosion, stress corrosion, cracking and hydrogen embrittlement,
corrosion testing, corrosion prevention, oxidation and other high-temperature
metal-gas reactions.

Recommended background: materials (ES 2001).
This course will be offered in 2015-16, and in alternating years thereafter.


Cat. I

Fundamental relationships between the structure and properties of engineering
materials are studied. Principles of diffusion and phase transformation are
applied to the strengthening of commercial alloy systems. Role of crystal lattice
defects on material properties and fracture are presented.
Strongly recommended as a senior-graduate level course for students interested
in pursuing a graduate program in materials or materials engineering at WPI, or
other schools.

Recommended background: materials (ES 2001, ME 2820).


Cat. I
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.
Recommended background: ES 2001 Introduction to Materials or equivalent.

Graduate Courses


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.


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 515.


Foundations and principles of robotic manipulation.
Topics include computational models of
objects and motion, the mechanics of robotic
manipulators, the structure of manipulator control
systems, planning and programming of robot
actions. The focus of this class is on the kinematics
and programming of robotic mechanisms.
Important topics also include the dynamics,
control, sensor and effector design, and automatic
planning methods for robots. The fundamental
techniques apply to arms, mobile robots,
active sensor platforms, and all other computer-controlled
kinematic linkages. The primary applications
include robotic arms and mobile robots
and lab projects would involve programming of
representative robots. An end of term team project
would allow students to program robots to participate
in challenges or competitions. (Prerequisite:
RBE 500 or equivalent.)


This course presents the following fundamental topics in fluid dynamics: concept of continuum in fluids; kinematics and deformation for Newtonian fluids;
the mass conservation equation for material volumes and
control volumes; the differential form of mass conservation, momentum and energy equations. This course covers applied topics chosen from:
unidirectional steady incompressible viscous flows; unidirectional transient incompressible viscous flows; lubrication flows similarity and dimensional analysis. This is an introductory graduate-level course and may be taken independent of AE 5107/ME 5107.


An introduction to kinetic theory of gases and its
application to equilibrium flows and flows with
chemical, vibrational and translational nonequilibrium.
Topics in kinetic theory also include the
Boltzmann Equation and its relation to the continuum
equations of gas dynamics. A major focus
of the course is exploring how results for equilibrium
flow of a perfect gas (e.g. flows in nozzles,
normal and oblique shocks, expansion waves) are
modified for an imperfect gas with nonequilibrium.
The models of flow with nonequilibrium
are then applied to the study of different flows of
engineering interest including hypersonic flows
(e.g. re-entry vehicles), propagating shock waves
(explosions), and chemically reacting flows. Students
cannot receive credit for this course if they have
taken the Special Topics (ME 593G) version of the
same course or ME 512.


Computational methods for incompressible and
compressible viscous flows. Navier Stokes equations
in general coordinates and grid generation
techniques. Finite volume techniques including
discretization, stability analysis, artificial viscosity,
explicit and implicit methods, flux-vector splitting,
Monotonic advection schemes and multigrid
methods. Parallel computing. (Prerequisite: Fluid
dynamics and introductory course in numerical
methods.) Students cannot receive credit for this
course if they have taken the Special Topics (ME
593P) version of the same course or ME 612.


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.


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. Pre-requisites; ES 3001, ES 3004
or equivalents. Students cannot receive credit for
this course if they have taken the Special Topics (ME
593R) version of the same course.


This course presents applications of incompressible and compressible fluid dynamics at an introductory graduate level. Topics are chosen from: potential flows; boundary layers; vorticity dynamics and rotating flows; aerodynamics; introduction to turbulence; micro/nano flows. This course can be taken independent of AE 5101/ME 5101.


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.


The course introduces concepts of partially ionized gases (plasmas) and their role
in a wide range of science and engineering fields. Fundamental theory includes topics in: equilibrium of ionized gases and kinetic theory; motion of charged particles in electromagnetic fields; elastic and inelastic collisions, cross sections and
transport processes; fluid theory and magnetohydrodynamic models; sheaths. Applications cover areas such as plasma diagnostics, plasma discharges, acecraft/environment interactions, and plasma-aided material processing.


This course provides students with the background and theory needed to evaluate the performance of the most commonly used electric and chemical spacecraft propulsion systems. Electrostatic ion and Hall thruster theory, design, and operation are covered including theory and operation of hollow cathodes, plasma
generation and ion acceleration (including design of ion optics), magnetic field design, and beam neutralization. Topics in chemical propulsion include bipropellant
and monopropellant chemistry (adiabatic flame temperature and ideal performance) with a focus on catalyst-bed and nozzle design considerations. Discussion of each class of thruster will be supplemented with specific examples of
flight hardware.


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


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.
(Prerequisite: Background in thermodynamics,
fluid dynamics, ordinary and partial differential
equations, and basic undergraduate physics.)


The course provides fundamentals for vibration
an alysis 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 ME 522.


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
rotordynamics 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.


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. (Prerequisites: Linear algebra, differential
equations, linear systems, controls, and mature
programming skills, or consent of the instructor.)
Students cannot receive credit for this course if they
have taken the Special Topics (ME 593S) version of
the same course.


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.
Recommended background: Linear algebra, ME/
RBE 501 or equivalent. Students cannot receive
credit for this course if they have taken the Special
Topics (ME 593U) version of the same course.


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.

Recommended Background: RBE 500, RBE 501


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.
Recommended background: Familiarity with ordinary differential equations,introductory control theory, fundamentals of linear algebra, and the analysis of signals and systems is recommended. Familiarity with Matlab is strongly recommended. Students cannot receive credit for this course if they have taken the
Special Topics (ME 593N) version of the same course or ME 523.


(2 Credits)
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. Students cannot receive credit for this course if they have taken the Special Topics (ME 593N) version of the same course or ME 5203.


This course covers the synthesis of optimal control laws for linear and nonlinear dynamical systems. Necessary conditions for optimal control based on the Pontryagin Minimum Principle will be introduced, and cases of fixed and free terminal time and boundary conditions will be discussed. Feedback optimal control will be discussed, and the Hamilton-Jacobi-Bellman equation will be introduced. The
special case of linear quadratic optimal control will be discussed. Examples throughout the course will be based on air-and-space vehicle applications, such as flight trajectory optimization. Assignments and term project (if any) will introduce basic numerical techniques, and introduce software packages for optimal control. Prequisites: Fluency with the theory of linear dynamical systems and control is required. Familiarity with MATLAB. Familiarity with air-and-space vehicledynamics is
beneficial, but not necessary.


(2 Credits)
Overview of spacecraft rotational motion. Stability analysis of forced and torque-free spacecraft motion. Effects of space environment and man-made torques on motion stability. Examination of orbital and attitude motion coupling. Theoretical formulation of spacecraft formation flying. Review of current trends in networked miniaturized spacecraft. Overview and sizing of actuating devices such as gas jet, electric thrusters, momentum wheels and magnetic torquers. Overview and selection of sensing devices such as sun sensors, magnetometers, GPS, IMUs. Formulation of spacecraft maneuvers as control design problems. Case studies on feedback attitude regulators and algorithms for linear and nonlinear attitude tracking. Design and realization of attitude control schemes using Matlab/Simulink.
Prerequisites: Fundamentals of spacecraft orbital motion and attitude dynamics at the undergraduate level. Familiarity with state space and frequency domain control concepts such as stability, controllability and observability. Familiarity with Lyapunov-based stability analysis of nonlinear dynamical systems. Familiarity with Matlab.


This course covers the fundamentals of the dynamics of rigid bodies and their motion under the influence of aerodynamic and gravitational forces. General equations of aircraft motion will be developed, followed by concepts of static and dynamic stability. Trim and linearization will be discussed, and the stability analysis of lateral and longitudinal modes in the linearized equations will be introduced. Stability augmentation via feedback control will be discussed. Aspects of aircraft navigation, guidance, and flight trajectory optimization will also be introduced. Prerequisites: Familiarity with the kinematics and dynamics of rigid bodies is required. Familiarity with ordinary differential equations is recommended. Familiarity with aircraft dynamics and control at the undergraduate level is beneficial, but not necessary.


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. It covers 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 different aspects 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 of the course will focus on various fiber optical sensors and sensing systems, including working principles of fiber optical sensors, intensity-based and interferometer-based fiber optical sensors, fiber Bragg gratings, 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.
Recommended Background: ES2502, PH1140. ME 4506 is preferred but not required.


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.


(2 Credits)
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.


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. Recommended background:
mechanics, materials, physics, knowledge
of a high-level computer programming language.
Students cannot receive credit for this course if they have taken the Special Topics (ME 593J) version of
the same course or ME 534.


(2 Credits)
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-set 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. (Prerequisites: senior or graduate standing or consent of the instructor.) Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE 594S).


(2 Credits)
The two introductory classes on materials science (MTE511 and MTE512) 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.(Prerequisites: senior or graduate standing or consent of the instructor.) Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE594P).


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, 1D 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. Recommended Background: ME 4875 or consent of Instructor.


Thermodynamics of solutions—phase equilibria— Ellingham diagrams, binary and ternary phase diagrams, reactions between gasses and condensed phases, reactions within condensed phases, thermodynamics of surfaces, defects and electrochemistry. Applications to materials processing and degradation will be presented and discussed. (Prerequisites: ES 3001, ES2001) Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE594T).


This course discusses the fundamentals of crystallography and X-ray diffraction (XRD) of metals, ceramics and polymers. It introduces graduate students to the main issues and techniques of diffraction analysis as they relate to materials. The techniques for the experimental phase identification and determination of phase fraction via XRD will be reviewed. Topics covered include: basic X-ray physics, basic crystallography, fundamentals of XRD, XRD instrumentation and analysis techniques. (Prerequisites: ES 2001 or equivalent, and senior or graduate standing in engineering or science.) Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE594C).


Heat transfer and diffusion kinetics are applied to
the solution of materials engineering problems.
Mathematical and numerical methods for the
solutions to Fourier’s and Pick’s laws for a variety
of boundary conditions will be presented and discussed.
The primary emphasis is given heat treatment
and surface modification processes. Topics to
be covered include solutionizing, quenching, and
carburization heat treatment. (Prerequisites:
ME 4840 or MTE 510 or equivalent.)


This course is intended to provide a fundamental
understanding of thermodynamic and kinetic
principles associated with phase transformations.
The mechanisms of phase transformations will be
discussed in terms of driving forces to establish a
theoretical background for various physical phenomena.
The principles of nucleation and growth
and spinodal transformations will be described.
The theoretical analysis of diffusion controlled
and interface controlled growth will be presented
. The basic concepts of martensitic transformations
will be highlighted. Specific examples will include
solidification, crystallization, precipitation,
sintering, phase separation and transformation
toughening. (Prerequisites: MTE 510, ME 4850
or equivalent.)


(2 Credits)
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 594X).


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).


(2 Credits)
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. (Prerequisites: ES 2502 and ME 3023 or equivalent, and senior or graduate standing in engineering or science.) Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MTE593C/MTE594C).


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.


(2 Credits)
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 non-circular cross sections. This course may be taken independent of ME 5302. Students cannot receive credit for this course if they have taken the Special Topics
(ME 593N) version of the same course or ME 531.


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. Students cannot receive credit for this course if they have taken the Special Topics (ME 593N) version of the same course or ME531.


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.


Covers a broad range of topics centered on control
and monitoring functions for manufacturing, including process control, feedback systems, data
collection and analysis, scheduling, machine-computer
interfacing and distributed control. Typical
applications are considered with lab work.


This on-line only, seven week, two credit course includes an in-depth study of axiomatic design, the theory and practice. 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. Special attention is given to examples in machining (traditional, nontraditional and grinding), additive manufacturing, and to the production of surfaces. The ability to generalize is emphasized to facilitate development of analyses and design methods with broader applicability. The content is delivered in video lectures and in readings from the technical literature. The grade is from performance on homework and quizzes given and delivered on-line and on a design project on manufacturing processes. Projects can be from work or dissertations on many kinds of systems and services, in addition to traditional manufacturing processes and tools. Credit cannot be given for this course and any of the similar, in-class versions for 3 credits, MFE520, MTE520 and ME543.


The first half of the course covers the axiomatic
design method, applied to simultaneous product
and process design for concurrent engineering,
with the emphasis on process and manufacturing
tool design. Basic design principles as well as
qualitative and quantitative methods of analysis
of designs are developed. The second half of the
course addresses methods of engineering analysis
of manufacturing processes, to support machine
tool and process design. Basic types of engineering
analysis are applied to manufacturing situations,
including elasticity, plasticity, heat transfer, mechanics
and cost analysis. Special attention will be
given to the mechanics of machining (traditional,
nontraditional and grinding) and the production
of surfaces. Students, work in groups on a series
of projects.


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. (Prerequisites: Background in manufacturing and CAD/CAM, e.g., ME 1800, ES 1310, ME 3820.) Note: Students cannot receive credit for this course if they have taken the Special Topics version of the same course (MFE593D/MFE594D).


The problems of cost determination and evaluation of processing alternatives in the design-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 (MFE594M).


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 ME/BME 4814 and a basic understanding
of cell biology and physiology. Admission of undergraduate students requires the permission of the instructor.)


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. (Prerequisite: An understanding of
basic continuum mechanics.)


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


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.