ME 640 Optimum Design Methods
ME 640 Optimum Design Methods (3). Prerequisite: ME 422 and faculty consent. Methods and applications of engineering design optimization. Strategies for problem formulation. Transformation methods, search techniques, linearization methods and quadratic approximation methods. Solution evaluation.
Prerequisites by Topic
- Numerical methods.
- Computer applications.
- Machine design.
J.S. Arora, Introduction to Optimum Design, Academic Press, 2nd edition, 2004.
G. Vanderplaats, Numerical Optimization Techniques for Engineering Design: With Applications, McGraw-Hill, 1984.
J.P. Wong, Professor of Mechanical Engineering.
Course Learning Outcomes
This course is designed to give graduate students in Mechanical Engineering an introduction to optimum design methods with emphasis in engineering design optimization formulation, and interpretation.
- Basic concepts (4 classes).
- Problem formulation (3 classes).
- Unconstrained problems (7 classes).
- Constrained problems (10 classes).
- Supplementary topics (12 classes).
- Discussion of design projects (3 classes).
- Professional ethics (1 class).
- Examinations (2 classes and 2½ hours).
MATLAB, LINDO, and LINGO are used for some of the homework problems and the design projects.
Three 50 minute sessions per week devoted to lecture, discussion, and problem solving.
Professional Component Contribution
Engineering design: 3 credits.
Relationship to Program Outcomes
This course supports Mechanical Engineering program objectives by developing:
- An ability to apply knowledge of mathematics, science, and engineering in the field of mechanical engineering.
- An ability to design a system, component, or process to meet desired needs in the field of mechanical engineering.
- An ability to identify, formulate and solve problems in the field of mechanical engineering.
- A recognition of the need for, and an ability to engage in, life-long learning in the field of mechanical engineering.
- An ability to use the techniques, skills, and modern tools necessary for the practice of mechanical engineering.