ME 564:Principles of Optimum Design and Manufacture
Application of mathematical optimization techniques, including linear and nonlinear methods, to design and manufacture of devices and systems of interest to mechanical engineers; optimization techniques include: constrained and unconstrained optimization in several variables, problems for structured multi-stage decision, and linear programming; formulation of design and manufacturing problems using computer- based methods; optimum design of parts and assemblies to minimize the cost of manufacture.
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.
Schaefer School of Engineering & Science
Design and Manufacturing Institute
Research & Education
He received a BS degree in Mechanical Engineering from Iowa State University in 1990. He received a MS degree in Mechanical Engineering from Stevens Institute of Technology in 1995 and a PhD degree in Electro-Mechanical Packaging Optimization from Stevens Institute of Technology in 2002.
He has been working as a researcher at DMI, Stevens Institute of Technology since 2001 and has been teaching courses on design and manufacturing at the Stevens Institute of Technology since 2004.
Dr. Yu is a researcher at DMI and an adjunct professor in the Mechanical Engineering Department.
Yu, C. and Pochiraju, K.. (May 2006). "Low Tool Cost Molding for Thick-Section Composite", SAMPE 2006, Long Beach, California.
Yu, C., Koh, K., Pochiraju, K. and Manoochehri, S.. (Sep 10-13, 2006). "Development of Distributed Computing Framework for Parallel Multi-Disciplinary Optimization", Proceedings of ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Philadelphia, Pennsylvania.
Yu, C, Pochiraju, K and Manoochehri, S.. (Aug 3-6, 2008). "Pultrusion Process Analysis Using Knowledge-Based System", Proceedings of ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Brooklyn, New York.