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A study in applying case-based reasoning to engineering design: Mechanical bearing design

Published online by Cambridge University Press:  12 February 2004

XIAOLI QIN  and
WILLIAM C. REGLI
XIAOLI QIN
Affiliation:
Department of Computer Science, College of Engineering, Drexel University, Philadelphia, Pennsylvania 19104, USA
WILLIAM C. REGLI
Affiliation:
Department of Computer Science, College of Engineering, Drexel University, Philadelphia, Pennsylvania 19104, USA
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Abstract

Case-based reasoning (CBR) is a promising methodology for solving many complex engineering design problems. CBR employs past problem-solving experiences when solving new problems. This paper presents a case study of how to apply CBR to a specific engineering problem: mechanical bearing design. A system is developed that retrieves previous design cases from a case repository and uses adaptation techniques to modify them to satisfy the current problem requirements. The approach combines both parametric and constraint satisfaction adaptations. Parametric adaptation considers not only parameter substitution but also the interrelationships between the problem definition and its solution. Constraint satisfaction provides a method to globally check the design requirements to assess case adaptability. Currently, our system has been implemented and tested in the domain of rolling bearings. This work serves as a template for application of CBR techniques to realistic engineering problems.

Keywords

Artificial IntelligenceCase-Based ReasoningComputer-Aided DesignDesignVariant Design
Type
Research Article
Information
AI EDAM , Volume 17 , Issue 3 , August 2003 , pp. 235 - 252
Copyright
© 2003 Cambridge University Press

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