Knowledge capture and feedback system for design and manufacture

M. J. Cardew-Hall; J. I. Smith; V. Pantano; P. D. Hodgson

doi:10.4271/2002-01-2054

Knowledge capture and feedback system for design and manufacture

M. J. Cardew-Hall^*
, J. I. Smith
, V. Pantano
, P. D. Hodgson

^*Corresponding author for this work

The Australian National University

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

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 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.

Original language	English
Journal	SAE Technical Papers
DOIs	https://doi.org/10.4271/2002-01-2054
Publication status	Published - 2002
Event	International Body Engineering Conference and Exhibition and Automotive and Transportation Technology Conference - Paris, France Duration: 9 Jul 2002 → 11 Jul 2002

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title = "Knowledge capture and feedback system for design and manufacture",

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 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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AB - 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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U2 - 10.4271/2002-01-2054

DO - 10.4271/2002-01-2054

M3 - Conference article

AN - SCOPUS:85072480462

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JF - SAE Technical Papers

T2 - International Body Engineering Conference and Exhibition and Automotive and Transportation Technology Conference

Y2 - 9 July 2002 through 11 July 2002

ER -

Knowledge capture and feedback system for design and manufacture

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