Applying Case-Based Reasoning Approach to Assembly Part Design

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Experience and knowledge play a very important role in design; however, experts experience and knowledge are difficult to impart effectively and precisely to novices. Artificial intelligence (AI) approaches have been successfully applied to many fields. Among the numerous AI approaches, Case-Based Reasoning (CBR) is an approach that mainly focuses on the reuse of knowledge and experience. However, little work is done on applications of CBR to improve assembly part design. Similarity measures and the weight of different features are crucial in determining the accuracy of retrieving cases from the case base. This research presents a Case-Based Reasoning (CBR) system, CBR-DFA, consisting of a complete CBR cycle to retrieve and evaluate an assembly part design. Experience and knowledge in the form of suggestions include qualitative and quantitative information offered to novices by retrieving and adapting a similar case. Early experimental results indicate that the similar part design is effectively retrieved by these similarity measures.

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237-241

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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