Title: Assimilation of knowledge for a copper alloy casting defect expert system

Authors: M. Ate, I. Yamauchi, I. Ohnaka

Addresses: Department of Faculty of Business Administration and Information Science, Kanazawa Gakuin University, 10 Sue-machi Kanazawa, Ishikawa 920-1392, Japan. Department of Material Science and Engineering, Graduate School of Engineering, Osaka University, 2-1, Yamadaoka, Suita, Osaka 565-0871, Japan. Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, 2-1, Yamadaoka, Suita, Osaka 565-0871, Japan

Abstract: For the construction of an expert system on copper casting defects, currently used catalogues on copper casting alloys were examined. Systematic rules were obtained by the new classifying method proposed. The main results were as follows: the proposed classifying method can be efficient to sort out currently recognised defects; by using this method, computers can create rules for constructing innovative casting defects database; the currently used catalogues on casting defects are partly insufficient and in some cases seem to be illogical; more data based on scientific evaluation should be collected for further development.

Keywords: classification of knowledge; copper alloy; database; defect; expert system.

DOI: 10.1504/IJCAT.2004.003655

International Journal of Computer Applications in Technology, 2004 Vol.19 No.1, pp.1 - 11

Published online: 08 Oct 2003 *

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