Case-based reasoning in fixture design

被引:3
作者
Boyle, IM [1 ]
Rong, K [1 ]
Brown, DC [1 ]
机构
[1] Worcester Polytech Inst, Comp Aided Mfg Lab, Worcester, MA 01609 USA
来源
INTELLIGENT MANUFACTURING | 2004年 / 5263卷
关键词
case-based reasoning; retrieval-by-adaptability; axiomatic design; fixture design;
D O I
10.1117/12.521008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 reconstituted 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.
引用
收藏
页码:85 / 96
页数:12
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