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Knowledge Capture and Feedback System for Design and Manufacture

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Authors

Cardew-Hall, Michael
Smith, Jeremy
Pantano, Victor
Hodgson, Peter Damian

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Society of Automotive Engineers Inc

Abstract

This paper identifies the need for AI based tools to supplement CAD/FEA methods. The approach discussed focuses on the capture and feedback of part based case lessons or issues that form a knowledge base for future use. Key aspects of a system to achieve

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Source

Proceedings of the 2002 International Body Engineering Conference

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Restricted until