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Mechanical Engineering (ME)

Courses

ME 500  Clean Energy Systems  3 Credits (3,0)

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 (3,0)

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.

ME 503  Unmanned and Autonomous Vehicle Systems  3 Credits (3,0)

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 (3,0)

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  Hybrid and Electric Vehicles  3 Credits (3,0)

The emphasis of the course is on physical system modeling and simulation of hybrid and electric automotive power systems. This includes conventional powertrains as a baseline and subsequent comparison to HEVs, PHEVs, and BEVs or EVs. Modern advanced internal combustion engines and powertrain components including torque converter, clutch, transmission, and differential final drive will be presented and modeled in detail. Hybrid, Plug-In Hybrid, and Battery-Electric power system simulation also includes electrical and electro-mechanical components such as energy storage systems (flywheels, super caps, batteries), inverters, generators, traction motors, and the associated low-level and supervisory-level control systems. Electro-chemical battery packs with associated cooling system will also be discussed. EPA drive cycles will be studied including industry-standard city and highway cycles FTP, UDDS, US06, HWFET, and others. Hybrid electric classifications such as micro-, mild-, and full-hyrbrids will be discussed along with the basic topologies of series, parallel, series-parallel, and other power-split arrangements. Power management strategies for each will be presented. Battery-electric vehicles (BEVs), or EVs will be discussed and optionally simulated in detail. Range, MPGGE, fuel economy (mpg), emissions (g/mi.) will all be discussed, compared, and contrasted with current vehicles on the market. Hydrogen fuel cells and Fuel Cell Vehicles (FCV) vehicles will be discussed although with less emphasis than HEV, PHEV, and EVs.

ME 510  Micro-Electrical Mechanical Systems  3 Credits (3,0)

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 514  Introduction to the Finite Element Method  3 Credits (3,0)

Basic equations of the theory of elasticity. Energy principles. Formulation and assembly of stiffness matrices and load vectors for elastic solids. Modeling considerations. Solution methods Computer implementation of finite element and stress analysis procedures. Interpretation of computer solutions. Design applications.

ME 520  Sensor Processing with Applications  3 Credits (3,0)

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 (3,0)

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 (3,0)

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 (3,0)

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 (3,0)

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 (3,0)

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 530  Advanced Kinematics and Mechanics  3 Credits (3,0)

This course studies modeling, design, and analysis of mechanisms with a focus on robotic systems. Course topics include development of kinematic and dynamic models of motion, the Jacobian, coordinate transformations, graphical and analytical design of mechanisms, and integration of actuators and sensors. Application studies will include wheeled, tracked, walking, and biologically inspired robotic systems. The course will include several hands-on projects including a final design project.

ME 540  Mechanical Engineering Practicum  3 Credits (3,0)

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  Computational Biofluid Mechanics  3 Credits (3,0)

Computational techniques for modeling fluid mechanics in the human cardiovascular system. Modeling of cardiovascular structure and function. Numerical analysis of lumped parameter models of circulation compartments. Simulation of fluid-structure interaction in blood vessels, blood perfusion in microvasculature, and bioheat transfer problems.
Prerequisites: Graduate Standing or Instructor Consent.

ME 544  Computational Biomechanics  3 Credits (3,0)

Study of the human musculoskeletal system. Direct experience with the computational tools used to create simulations of human movement. Key topics in movement biomechanics, including kinematic and dynamic computational modeling and simulations of the human musculoskeletal system, application of equations of motion and dynamics to analyze movement, internal muscle forces, and joint contact forces, and creation of models from medical images. Discussion of real-life application in medicine, sports, and rehabilitation, and practical experience using engineering equipment (motion capture, force plates, and electromyography) and software used in research and industry to analyze human movement.
Prerequisites: Open to graduate students only.

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 548  Introduction to Continuum Mechanics  3 Credits (3,0)

Analysis of stress and deformation at a point. Development of the basic equations of a continuous medium by applying the basic laws of conservation of mass, linear momentum, moment of momentum and those of thermodynamics. Study of constitutive axioms and constitutive relations for fluids and solids. Specialization of the field equations to simple boundary-value problems of solid mechanics and fluid mechanics with simple solutions.

ME 560  Tissue Biomechanics  3 Credits (3,0)

Computational techniques for modeling the mechanical behavior of biological tissues in the human system. Modeling stress-strain relations of soft tissues using mathematical formulations and finite element analysis. Topics to be covered include static force analysis, simulations of linear and nonlinear elastic solids, linear and non-linear one-dimensional viscoelastic behavior, structure-function relationships and constitutive models for a variety of biological tissues.
Prerequisites: Graduate Standing or instructor Consent.

ME 599  Special Topics in Mechanical Engineering  1-6 Credit

Individual independent or directed studies of selected topics in mechanical engineering.

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 (3,0)

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 (3,0)

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 (3,0)

Review of the Design for Manufacturing and Assembly principles. This course covers the integration of 30 solid modeling theory and the principles of automation in multiple manufacturing environments. Student will create 30 solid models and produce actual components utilizing additive and subtractive manufacturing. Additional topics will cover manufacturing drawings, geometric dimensioning and tolerancing (GO&T), machine tool operations, and simulations.

ME 613  Advanced Model-Based Control Design  3 Credits (3,0)

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 (3,0)

Review of Structural Optimization and Finite Element Analysis. 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).

ME 615  Pattern Recognition and Machine Learning  3 Credits (3,0)

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 (3,0)

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 (3,0)

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 622  Path Planning and Navigation  3 Credits (3,0)

A detailed investigation of current practices and techniques used for path planning and navigation of autonomous systems. Derivations of traditional path planning techniques (such as LPA* and anytime planning) as well as methodologies that make use of dynamic models (such as RRTs) will be discussed. Other course topics include multi-agent control, particle swarm optimization, object segmentation and characterization. The course includes readings from current literature, case studies and demonstrations to supplement material presented in class.
Prerequisites: ME 503.

ME 690  Graduate Research Project 1  3 Credits (3,0)

Culminating effort of the student's MSME track learning experience. The student will complete a project that provides significant evidence of experience in their chosen MSME track. 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.
Prerequisites: ME 700A or SYS 560.

ME 692  Graduate Research Project 2  3 Credits (3,0)

Culminating effort of the student's MSME track learning experience. The student will complete a project that provides significant evidence of experience in their chosen MSME track. 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.
Prerequisites: ME 700A or SYS 560 and ME 690.

ME 699  Special Topics Mechanical Engineering  1-6 Credit

Individual independent or directed studies of selected topics in mechanical engineering.

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 (3,0)

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.