Master's and PhD Degrees / Courses / Course DescriptionsMECH_ENG 441: Engineering Optimization for Product Design and Manufacturing
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Prerequisites
Graduate standing, senior undergraduate or permission of instructor.Description
The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization techniques and an opportunity to learn how to model product design and manufacturing problems and solve them using computer-based (numerical) optimization techniques. Students will be encouraged to relate the course material to their research.
Required Textbook
Introduction to Optimum Design, Arora, J.S., 2004, Elsevier Academic Press, 2nd edition. ISBN 0-12-064155-0.
Reference Materials
Engineering Optimization: Methods and Applications, Reklaitis, R.R., 2002.
Optimization Concepts and Applications in Engineering, Belegundu, A.D., 1999.
Quality Engineering using Robust Design, Phadke, M.S., 1989.
Topics
- Introduction to engineering optimization
- Formulation of optimization models
- Linear models and solution techniques
- Unconstrained nonlinear models and solution algorithms
- Constrained nonlinear optimization
- Discrete and mixed integer models and techniques
- Shape and topology optimization
- Computer experiments and metamodeling
- Optimization under uncertainty
- Multiobjective & Multidisciplinary optimization
Assessment
Homework (35%), quiz (30%), term project (25%written + 5% presentation), class participation (5%)
Course Syllabus