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Proceedings Paper

Case-based reasoning in fixture design
Author(s): Iain M. Boyle; Kevin Rong; David C. Brown
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Paper Abstract

Fixtures are designed to accurately locate and secure a part during machining operations such that the part can be manufactured to design specifications. To reduce the design costs associated with fixturing, various computer-aided fixture design (CAFD) methods have been developed through the years to assist the fixture designer. One approach is to use a case-based reasoning (CBR) approach where relevant design experience is retrieved from a design library, and adapted to provide a new fixture design solution. Indexing design cases is a critical issue in any CBR approach, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents a CAFD methodology that adopts a rigorous approach to defining the indexing attributes in which Axiomatic Design “Functional Requirement” decomposition is adopted. Thus, a design requirement is decomposed in terms of functional requirements, physical solutions are retrieved and adapted for each individual requirement, and the design is then re-constituted to form a complete fixture design. Furthermore, adaptability is used as the basis by which designs are retrieved in place of the normal attribute similarity approach, which can sometimes return a case that is difficult or impossible to fix.

Paper Details

Date Published: 4 March 2004
PDF: 12 pages
Proc. SPIE 5263, Intelligent Manufacturing, (4 March 2004); doi: 10.1117/12.521008
Show Author Affiliations
Iain M. Boyle, Worcester Polytechnic Institute (United States)
Kevin Rong, Worcester Polytechnic Institute (United States)
David C. Brown, Worcester Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 5263:
Intelligent Manufacturing
Bhaskaran Gopalakrishnan; Peter E. Orban; Angappa Gunasekaran, Editor(s)

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