Abstract
Early in the design process, it is desirable to produce a large number of potential solutions. Completely exploring a problem's solution space is an unreasonable expectation for an unaided designer or design team. Computational tools have emerged to help designers more fully explore possible solutions. These automated concept generators use knowledge from existing designs and the desired functionality of the new product to suggest solutions. Existing automated concept generation methods produce many candidate solutions, but often provide unmanageably large sets of solutions. Techniques are needed to organize the set of concepts into smaller groups, more easily parsed by the human designer. This work proceeds from the hypothesis that the utility of automated concept generators can be enhanced if their output is sorted based on design for manufacture and assembly heuristics. Data to sort concepts is collected and a sorting method is proposed. Finally, a case study is presented to demonstrate the method Copyright © 2009 by ASME.
Recommended Citation
K. R. Poppa and R. B. Stone, "Sorting Results of Automated Concept Generators based on Design for Manufacture and Assembly," Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009, vol. 8, no. PART A, pp. 177 - 185, American Society of Mechanical Engineers, Jun 2010.
The definitive version is available at https://doi.org/10.1115/DETC2009-87422
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Available Access
International Standard Book Number (ISBN)
978-079184905-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
25 Jun 2010
