This course is intended to teach modern systematic design techniques used in the practice of mechanical engineering. Methodology for the development of design objective(s), literature surveys, base case designs, and design alternatives are given. Economic analyses with an emphasis on capital investment and operating costs are introduced. Integrated product and process design concepts are emphasized with case studies. Students are encouraged to select their senior capstone design project near the end of the course, form teams, and commence preliminary work. A number of design projects are required of all students.

Modeling and simulation methodologies including model-block building, logical and data modeling, validation, simulation and trade-off analysis, decision-making, and optimization. Product and assembly modeling; visual simulation; process modeling; production modeling; process plans and resource modeling, entity flow modeling including conveyors, transporters, and guided vehicles; Input and output statistical analysis. Several CAD/CAE simulation software are used.

Multidimensional stress, strain and transformation equations, yield conditions and theories of failure, constitutive laws including linear elasticity, viscoelasticity and temperature influences, equations of elasticity, simple applications to uniaxial stress and symmetric bending, unsymmetrical bending and shear center of beams, torsions, combined stresses with applications to beams, thin-walled cylinders and pressure tanks, shrink fits, bending beyond the elastic limit, instability and energy methods.

Composite material characterization; composite mechanics of plates, panels, beams, columns, and rods integrated with design procedures; analysis and design of composite structures, joining methods and procedures, introduction to manufacturing processes of filament winding, braiding, injection, compression and resin transfer molding, machining and drilling, and industrial applications.

An introduction to using a computer system to aid in engineering design, fundamental components of hardware and software; databases and database management, numerical control and computer-aided manufacturing. Integration of manufacturing system from conceptual design through quality control to final shipping is discussed. Applications include solids modeling, CAD drawing and solution using finite element method.

This course is involved in the design and development of parts and assemblies for manufacturability and functionality; characteristics and capabilities of significant manufacturing processes; principles of design for manufacturability; product planning; conceptual design; embodiment design; dimensional tolerances; optimum design of products to minimize cost of manufacture; materials specifications for ease of manufacturability and good functional results; design for ease of assembly; integrated product development; concurrent engineering practice.

Development of the fundamental equations of finite-element theory, using the matrix displacement approach. Detailed case studies of one-dimensional (truss and beam), two-dimensional (plane stress/strain and axisymmetric solid), k and plate-bending elements are explained. Applications include interactive model building and solutions.

This course emphasizes the development of modeling and simulation concepts and analysis skills necessary to design, program, implement and use computers to solve complex systems/products analysis problems. The key emphasis is on problem formulation, model building, data analysis, solution techniques and evaluation of alternative designs/processes in complex systems/products. Overview of modeling techniques and methods used in decision analysis, including multi-attribute utility models, decision trees, and optimization methods are discussed.

This course emphasizes the development of modeling and simulation concepts and analysis skills necessary to design, program, implement and use computers to solve complex systems/products analysis problems. The key emphasis is on problem formulation, model building, data analysis, solution techniques and evaluation of alternative designs/processes in complex systems/products. Overview of modeling techniques and methods used in decision analysis, including multi-attribute utility models, decision trees and optimization methods are discussed.

This course covers the development and application of
finite-element theory to (1) fluid structure interaction, (2) large deformations of incompressible material, (3) electromechanical coupling problems, and (4) nonlinear heat transfer with phase change.

Engineering graphics: principles of orthographic and auxiliary projections, pictorial presentation of engineering designs, dimensioning and tolerance, sectional and detail views, assembly drawings. Descriptive geometry. Engineering figures and graphs. Solid modeling introduction to computer-aided design and manufacturing (CAD/CAM) using numerically-controlled (NC) machines.

This course spans the background, fundamental principles and elements of hardware/software required for design and prototyping intelligent mechatronic systems and fundamentals for developing knowledge-bases, tools and methods that contribute to the intelligent response of system to expected and unexpected stimuli. The course introduces hardware and software development system architectures, interfacing to the analog world with sensors, response synthesis and actuation. Model-based, learning-based and knowledge-based algorithms that enable intelligent response synthesis by the system will be studied. Prerequisite: ME522  Mechatronics I (Preferred but not Required).