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Mechanical Engineering (ME)

Courses

ME 500  Clean Energy Systems  3 Credits

This course will emphasize energy systems for both stationary and transportation applications. General energy requirements will be discussed for industrialized societies and the effects of waste energy and undesired byproducts. Clean energy process and minimizing the environmental effects. Examples of energy systems to be considered are fuel cells, wind energy, wave energy, geothermal energy, and solar energy.

ME 501  Modeling Methods in Mechanical Engineering  3 Credits

Vector field theory and curvilinear coordinate systems. Analytical and numerical solution methods for variable coefficient ordinary differential equations, systems of ordinary differential equations, eigenvalue problems, and partial differential equations. Initial and boundary value.problem applications to heat transfer, fluid flow, vibrations, and solid mechanics.approximation of governing equations of heat transfer, fluid flow, and solid mechanics.

ME 503  Unmanned and Autonomous Vehicle Systems  3 Credits

A systems-level overview of theory and practice of unmanned and autonomous vehicle systems, including hardware, software, and algorithm development. Topics include an overview of locomotion platforms (including land, air, and marine platforms), actuators and motion control, sensors and perception (including GPS, inertial, magnetic, active ranging, computer vision, photo detectors, and encoders), planning and navigation (including reactive, deliberative, and hybrid approaches to autonomy), and shortest path algorithms (including the Dykstra and A* algorithms). Case studies, readings from current literature, and guest lectures present best practices in the field.

ME 506  Design for Manufacturing and Assembly  3 Credits

Manufacturing processes and life cycle design for the aerospace industry. Tolerances and materials properties. Design for manufacturing and associated costs for various manufacturing processes (machining, casting, molding, stamping, forming, forging, and extrusion) with aviation-related case studies. Design for product assembly and total assembly cost with case studies. Selection of materials and processes using design for manufacturing guidelines, standards, and tolerance fittings. Simulations using computer graphics software. Design for manufacturing course project.

ME 508  Hydrogen and Hybrid Vehicle Systems  3 Credits

This course is an introduction to the principles of hybrid electrical vehicle propulsion systems for Mechanical and Electrical Engineering students. A major emphasis of the course will be to broaden the mechanical engineering student's knowledge of electrical engineering so that he/she can understand the fundamentals of electrical motors, electrical motor controls, and electrical energy storage systems. The course is also intended to strengthen the knowledge of electrical engineering students relative to automotive power-train design. With this background, the integration of these hybrid electric components into the hybrid electric vehicle power-train system will be studied, including electric energy storage (batteries, flywheels, ultra-capacitors) and electrical energy production-fuel cells.

ME 510  Micro-Electrical Mechanical Systems  3 Credits

This course introduces modeling and design fundamentals for micro-electro-mechanical systems (MEMS). Basic principles covered include reviews of electrical and mechanical concepts, static-dynamic mechanical MEMS beams with emphasis on capacitor-based sensing and actuation, electromagnetic modeling of MEMS switches. Applications covered include pressure sensors, accelerometers, gas microsensors, and microfluidic systems.

ME 520  Sensor Processing with Applications  3 Credits

This course applied sensor processing in the context of robotic and mechatronic systems. Topics include signal conditioning and filtering, system identification, and controller design and implementation. Advanced techniques covered include Kalman filtering, neutral networks, and other types of adaptive and learning control systems. Students collect data and implement sensor-processing techniques using software tools such as LabVIEW and MATLAB. A background in instrumentation, signal processing, and control is recommended.

ME 521  HVAC Systems  3 Credits

Application of thermodynamics, heat transfer, and fluid flow to understand the psychometric performance of systems and equipment; evaluating the performance characteristics of various types of HVAC systems including refrigeration/chiller equipment, cooling coils, heat exchangers, ducts, fans, heat pump and open air cycles for aircrafts. Students entering this course should have a background knowledge of Thermodynamics and Heat Transfer.

ME 522  Mechanical System Design  3 Credits

This course provides students with the opportunity to learn the theory of 3D solid modeling through heuristic problem solving. Students will learn how to leverage the appropriate combination of CAD design principles to solve a range of engineering design challenges. A background in design/machine design is recommended.

ME 523  Modeling and Simulation of Linear Dynamic Systems  3 Credits

The purpose of this course is to provide graduate students with fundamental modeling skills for creating mathematical models of multi-domain engineering systems which can be simulated on computer for system performance analysis and control system design. This course will cover modeling, analysis, and simulation of dynamic systems. A variety of tools will be introduced including transfer functions, state space equations, block diagrams, and bond graphs. Analysis techniques including vector analysis, matrix theory including vector and matrix norms, eigenvectors and eigenvalues, matrices as operators, and the solution of systems of linear equations are introduced. Additional topics include linearization of dynamic systems, input-output description of systems, and analysis of observability, controllability and stability. The application examples range from electrical circuits, to fluid, thermal systems and electro-mechanical systems, to aircraft and spacecraft. Concepts from discrete time systems are also introduced. A background in linear algebra is recommended.

ME 525  Structural Design Optimization  3 Credits

An introduction to numerical and graphical optimization techniques associated with structural design and analysis. This course will include linear and discrete methods, approximate techniques, sensitivity analysis, and optimality criteria. Methods will be applied to structures, such as trusses, frames and composite laminates. Emphasis will be placed on modern optimization techniques linked to numerical methods. A background in solid mechanics, structures and/or machine design is recommended.

ME 527  Modern Control Systems  3 Credits

This course covers modern control theory using continuous time state-space system models and implementations. State space representation is introduced and controllability, observability, and stability are reviewed. Control structures such as PID and state feedback controllers are introduced and applications are discussed. Continuous to discrete time conversions are discussed and the z-transform is introduced. Advanced topics such as model predictive control, adaptive control, robust control, and Kalman filters may be introduced at the discretion of the instructor. A background in classical controls and modeling of dynamic systems is recommended.

ME 540  Mechanical Engineering Practicum  3 Credits

This course provides students with a supervised applied practicum experience. Students are expected to work collaboratively in groups to complete a specific project under the supervision of a faculty member and organizational sponsor.

ME 542  Biofluid Mechanics  3 Credits (3,0)

Principles and foundations of fluid mechanics and computational methods applied to the human cardiovascular system. Anatomy and modeling of arterial vessels; blood flow in arteries; and coupled fluid-structure interactions in vasculature. Introduction to Bioheat transfer and blood perfusion.
Prerequisites: MS Mechanical Engineering students.

ME 544  Biomechanics  3 Credits

Fundamentals and principles of biomechanics. An overview of musculoskeletal anatomy; application of statics to biomechanics; biodynamic analysis of forces in human function and movement as well as estimation of energy and power requirements in human activity; stress-strain analysis in biological tissues; viscoelastic modeling of biological tissues; and biomaterials used in different biomedical applications.

ME 546  Structural Crashworthiness and Impact Safety  3 Credits (3,0)

Impact mechanics of ring and ring systems; thin-walled structures under transverse and axial loading conditions; finite element method for impact simulations; structural impact and inertia effect; tearing damage; cylindrical and spherical shells subjected to impact; mechanical behavior of cellular solids (honeycomb, polymeric and metal foams etc.); impact behavior of composite laminates and sandwich structures; applications of impact analysis in the auto industry.

ME 601  Advanced Modeling Methods in Mechanical Engineering  3 Credits (3,0)

Development of a Method of Weighted Residuals (MWR) foundation framework for the formulation of finite differences, finite volumes, finite elements, boundary elements, and Meshless collocation methods. Principles and fundamentals of radial-basis functions (RBF) and their application to global and local interpolation, least-squares, and differentiation. Boundary element method (BEM) and Meshless method (MM) formulation and their application to heat transfer, fluid flow, vibrations, and solid mechanics.

ME 610  Automation and Additive Manufacturing  3 Credits

Conceive, design, and implement a product using rapid prototyping (also called additive manufacturing or direct digital manufacturing) methods and computer-aided tools. The course will covers the design process, problem solving methods, interdisciplinary teamwork, current industrial practice, and manufacturing process capabilities. The course emphasizes a hands-on learning approach to additive manufacturing
Prerequisites: ME 522.

ME 611  Computational Heat Transfer and Fluid Flow  3 Credits

This course will cover modeling thermal-fluid science problems using finite-element methods and computational fluid dynamics. Topics will include heat conduction, heat convection, conjugate heat transfer, and advanced meshing.
Prerequisites: ES 403 or AE 508.

ME 612  Computer Integrated Manufacturing  3 Credits

Automation technologies with material handling systems in manufacturing in conjunction with quality control (statistical processes) and inspection machines. Integration of automation and material handling into various manufacturing systems (single-station work cells, production lines, assembly systems, cellular manufacturing and flexible manufacturing systems). Additionally, the course looks at manufacturing support functions in production systems including CAD and CAE such as process planning, manufacturing resource planning and DFMA. Using those concepts, classical (subtractive) manufacturing techniques such as CNC and more modern techniques such as additive manufacturing (3D printing) are covered as well as modern manufacturing techniques such as just-in-time manufacturing and Lean Production approaches and technologies like Six Sigma.
Prerequisites: ME 506.

ME 613  Advanced Model-Based Control Design  3 Credits

This course provides an introduction to rapid control prototyping and hardware-in-the-loop (HIL) simulation. This course is intended to familiarize students with advanced tools for rapid prototyping and HIL simulation (e.g., Simulink Coder and Real-time Windows Target). The topics covered in the course include critical issues associated with real-time execution of models. A series of projects will be included in the course to provide hands-on experience of using the advanced tools. Students should have a background including graduate-level control systems prior to entering this course.
Prerequisites: ME 527.

ME 614  Multidisciplinary Design Optimization  3 Credits

Introduce students with the formulation and basic understanding of parametric optimization for multidisciplinary optimization study. Formulation of the multidisciplinary design optimization and multi-objective optimization problems. Introduce concepts related to design of experiments, sensitivity, genetic algorithms, response surface based approximations, robustness and reliability studies. Integration of various disciplines (Structures, Fluids, Thermal, Manufacturing and Cost) in real-time analysis into a multidisciplinary optimization problem. Multidisciplinary course project with use of computer-aided engineering tools (for example: CATIA, FEMAP, NASTRAN, ANSYS CFX, SEER and HEEDS).
Prerequisites: ME 525.

ME 615  Pattern Recognition and Machine Learning  3 Credits

This course teaches students many concepts, techniques and algorithms in machine learning and pattern recognition with a focus on statistical inference as it provides a foundation for most of the methods covered in this course. Course fields of interest include classification, regression and reinforcement learning. Specific topics that will be covered in the course will include foundational methods such as Bayesian theory as well as modern implementations such as support vector machines and hidden Markov models.
Prerequisites: ME 520.

ME 616  Design and Manufacturing of Biomedical Devices  3 Credits

Manufacturing processes and life cycle design for the biomedical industry. Selection of biomaterials for biomedical devices. Manufacturing processes (machining, casting, molding, stamping, forming, forging, extrusion and 3-D printing) with biomedical products-related case studies. Design for manufacturing and product assembly. Quality and lean six sigma concepts in manufacturing. Biomedical applications include tracoidal stents, biopsy micro-forceps, micro-needle arrays, wrist implants, spinal spacers, and fixtures. Simulations using computer graphics software. Design and manufacturing course project.

ME 618  Vehicle Safety and Occupant Protection  3 Credits (3,0)

Overall of automotive safety; Frontal crash safety design and regulations; Side crash safety design and regulations; Rollover safety and regulations; Occupant kinematics, restraint systems, crash pulse; Injury databases and injury assessment; Interior impact; Energy dissipation management; Numerical simulations of vehicle crash.
Prerequisites: ME 546.

ME 620  Advanced Vehicle Dynamics  3 Credits

All concepts necessary to create a physics-based ground vehicle mobility simulator; 3D rigid body motion with Newton-Euler equations of motion; 3D orientation kinematics using Euler Angles, Euler parameters, or quarternions as necessary; 3D kinematics to relate track or tire contact forces to vehicle position and velocity over a 3D terrain; the basics of soft-soil terramechanics if modeling off-road terrain; Pacejka tires models if modeling on-road tire contact patch forces; Optimum G and Optimum K software use to leverage exerimental on-road tire and race car chassis data; 3D visualization and soft-real-time computing for 3D vehicle and terrain visualization. Automated path navigation and waypoint following for simulating virtual laps around pre-defined paths.

ME 690  High Performance Vehicles Graduate Research Project 1  3 Credits

Culminating effort of the student's MSME HPV learning experience. The student will complete a project that provides significant evidence of experience in High Performance Vehicles studies. .Students will work with designated faculty to formulate, develop, and complete the project The completion of the Graduate Research Project is designed to document significant evidence that all Program Outcomes have been met and provides the student evidence of experience to show to current and prospective employers The GRP must be taken at the end of the student's degree program.

ME 692  High Performance Vehicles Graduate Research Project 2  3 Credits

Culminating effort of the student's MSME-HPV learning experience. The student will complete a project that provides significant evidence of experience in High Performance Vehicles studies. Students will work with designated.faculty to formulate, develop, and complete the project. The completion of the Graduate Research Project is designed to document significant evidence that all Program Outcomes have been met, and provides the student evidence of experience to show to current and prospective employers. The GRP must be taken at the end of the student's degree program.

ME 700  Graduate Thesis  1-9 Credit

A master-level research project in Mechanical Engineering conducted under the supervision of the student's advisor and thesis committee. Submission of a final report, approved by the thesis committee, and an oral defense of the research work are required for thesis credits to be earned.

ME 700A  Research Methods  3 Credits

Establishing or advancing understanding of research through critical exploration of research language, ethics, and approaches. Language of research, ethical principles and challenges, and the elements of the research process within quantitative, qualitative, and mixed methods approaches; critical review literature, determine how research findings are useful in informing understanding of their environment (work, social, local, global); basics principles of program management.

ME 800  Dissertation  3-9 Credit (1-6,0)

A Ph.D.-level research project in Mechanical Engineering conducted under the supervision of the student's advisor and thesis committee. Submission of a final report, approved by the dissertation committee, and an oral defense of the research work are required for dissertation credits to be earned.