CAFixD: A Case-Based Reasoning Fixture Design Method. Framework and Indexing Mechanisms

Fixtures accurately locate and secure a part during machining operations. Various computer-aided fixture design (CAFD) methods have been developed to reduce design costs associated with fixturing. One approach uses a case-based reasoning (CBR) method where relevant design experience is retrieved from a design library and adapted to provide a new design solution. Indexing design cases is a critical issue in CBR, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents CAFixD, a CAFD methodology that adopts a rigorous approach to defining indexing attributes based upon axiomatic design functional requirement decomposition. 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. This paper presents the CAFixD framework and operation, and discusses in detail the indexing mechanisms used.

[1]  Deborah L Thurston,et al.  A formal method for subjective design evaluation with multiple attributes , 1991 .

[2]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[3]  K. C. Seow,et al.  Conceptual Design of Fixtures using Genetic Algorithms , 1999 .

[4]  C. R. Mount,et al.  A case-based reasoning system for identifying failure mechanisms , 2000 .

[5]  Iain M. Boyle,et al.  Case-based reasoning in fixture design , 2004, SPIE Optics East.

[6]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[7]  Z. M. Bi,et al.  Flexible fixture design and automation: Review, issues and future directions , 2001 .

[8]  Andrew Y. C. Nee,et al.  A Framework for an Object/Rule-Based Automated Fixture Design System , 1991 .

[9]  Shreyes N. Melkote,et al.  Machining fixture layout optimization using the genetic algorithm , 2000 .

[10]  Yiming Rong,et al.  Automated modular fixture planning: Geometric analysis , 1998 .

[11]  Utpal Roy,et al.  Fixture design synthesis for a flexible manufacturing system , 1997 .

[12]  Andrés Gómez de Silva Garza,et al.  Case-Based Reasoning in Design , 1995, IEEE Expert.

[13]  K. C. Chan,et al.  A Genetic Algorithm Based Approach to Optimal Fixture Configuration , 1996 .

[14]  David McSherry.  The inseparability problem in interactive case-based reasoning , 2002, Knowl. Based Syst..

[15]  Mark T. Keane,et al.  Design à la Déjà Vu Reducing the Adaptation Overhead , 1996 .

[16]  Anil Varma,et al.  ICARUS: design and deployment of a case-based reasoning system for locomotive diagnostics , 1999 .

[17]  Shize Huang,et al.  Development of Automated Dedicated Fixture Configuration Design Systems with Predefined Fixture Component Types : Part 1 , Basic Design , 1999 .

[18]  Barry Smyth,et al.  Experiments On Adaptation-Guided Retrieval In Case-Based Design , 1995, ICCBR.

[19]  Michael A. Rosenman,et al.  Case-based evolutionary design , 2000, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[20]  Xiaoqing Frank Liu,et al.  Indexing and retrieval in machining process planning using case-based reasoning , 2000, Artif. Intell. Eng..