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


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
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In