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The auto-generation of analysis models from product definition data

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Abstract

This paper describes a feature-based methodology for generating computer models for analysis from product definition data. Given the product definition data, the development of analysis models of the product suitable for performance analysis is a time-consuming task that requires a considerable level of expertise and tedious feature modifications. A feature-based geometric reasoning technique is developed that can be used to reduce the lead time of analysis of models generated from product definition data and subsequently to shorten the process time of CAE (computer aided engineering) analysis.

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Authors and Affiliations

  1. Knowledge Based Systems Laboratory, Department of Industrial Engineering, Texas A&M University, 77843, College Station, Texas, TX, USA

    Richard J. Mayer, Chuan-Jun Su, Joe A. Cecil & Chen-Fuu Ding

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  1. Richard J. Mayer
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  2. Chuan-Jun Su
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  3. Joe A. Cecil
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  4. Chen-Fuu Ding
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Mayer, R.J., Su, CJ., Cecil, J.A. et al. The auto-generation of analysis models from product definition data. Int J Adv Manuf Technol 12, 197–206 (1996). https://doi.org/10.1007/BF01351199

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