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RESEARCH PAPERS: Design Automation

Optimal Configuration Design: An Integrated Approach Using Grammars

[+] Author and Article Information
L. C. Schmidt

Department of Mechanical Engineering, The University of Maryland, College Park, Maryland 20742-3035

J. Cagan

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213-3890

J. Mech. Des 120(1), 2-9 (Mar 01, 1998) (8 pages) doi:10.1115/1.2826672 History: Received August 01, 1996; Revised October 01, 1997; Online December 11, 2007

Abstract

A computational approach to design that integrates conceptual design, configuration design, and component selection tasks overcomes some of the barriers to successful design automation. FFREADA is an implementation of a general design generation and optimization algorithm featuring hierarchical ordering of grammar-based design generation processes at different levels of abstraction. FFREADA is used to generate near-optimal hand-held drill power trains in a space exceeding 200 million designs that are not limited to any particular functional architecture or component configuration. Drill power train designs with values within 1 percent of the optimal solution are found in minutes by sampling 302,000 design states on average. Optimal configurations are found for drill power trains with three different torque requirements.

Copyright © 1998 by The American Society of Mechanical Engineers
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