iBerry

lecture notes: design factors which influence design of vehicles for passenger transport, performance, off-road & other purpose built vehicles, design process of systems & total vehicles with multiple design constraints including legislative regulation, alternative & hybrid power systems, team organization & planning

iron-carbon diagram in detail, Steels, non-ferrous alloys, composites, non-metallic materials, corrosion and the principles underlying the selection of materials in mechanical design, processes taking place during heat treatment of metallic alloys and how they influence their microstructures and properties

• Applied Fluid Mechanics and Thermodynamics - flow systems encountered in engineering
  design, viscous flow in pipes, external & compressible flow, turbomachines (pumps), thermodynamics
  of gas mixtures, psychometrics and air-conditioning processes

• Thermal Management Measurements - laboratory techniques for diagnosing and documenting thermal management problems in electronic equipment, design of thermal management solutions (air-cooled systems)

root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, numerical quadrature and numerical solution to ordinary differential equations

responses exhibited by solid engineering materials when subjected to mechanical & thermal loadings, introduction to physical mechanisms associated with design-limiting behavior of engineering materials (stiffness, strength, toughness, durability), basic mechanical properties of engineering materials, testing procedures, ways in which properties characterize material response: readings, labs, course download

how and why machines work, conceived, developed (drawn), utilized, hands-on experiences of taking things apart mentally and physically, drawing (sketching, 3D CAD) what they envision and observe, understanding the physics and history of machines: tools, study materials, animations, course download

Mechanical systems design, System simulation, control, and optimization, Design optimization and system performance evaluation, Design case studies, Equipment for overall system design,lab excercises: Course Outline, Supplemental Notes

Principles of physical measurements (standards calibration, estimation of error), uncertainty analysis (static and dynamic performance of measuring systems), laboratory experience, experiment planning, report writing: labs, equipment list, examples

concepts & methods (practical uses, problem types, Optimum design concepts, constrained and unconstrained, Lagrange multipliers, Kuhn-Tucker optimality conditions, graphical solutions, Design optimization systems, identification problems, optimization, Math foundation, minimization, multiple variables, mechanical systems, Sequential programming, Sensitivity analysis, multicriterion problems, response surface methods

expert systems, artificial intelligence, decision analysis in mechanical engineering, logical inference, predicate calculus, multivariate logic, probability theory, diagnostic reasoning, risk assessment, qualitative reasoning, & analytical design, Applications in automated manufacturing, design, real time monitoring & supervisory control, failure diagnostics, automated influence diagrams/Bayes' networks to codify expert knowledge, perform probabilistic inference, evaluate optimal control or design decisions