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 this are presented. These include: Issue or problem data to be collected at source, the system to be visually based, enhance current job function, integrated with existing IT systems and work procedures, data to be readily accessible and consistent, modular approach functional access to data. The elements of a knowledge capture system for the stamping industry based on the above is discussed.


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    Title :

    Knowledge Capture and Feedback System for Design and Manufacture


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress ; 2002



    Publication date :

    2002-07-09




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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