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Knowledge Capture and Feedback System for Design and Manufacture
ISSN: 0148-7191, e-ISSN: 2688-3627
Published July 09, 2002 by SAE International in United States
Annotation ability available
Event: International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress
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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CitationCardew-Hall, M., Smith, J., Pantano, V., and Hodgson, P., "Knowledge Capture and Feedback System for Design and Manufacture," SAE Technical Paper 2002-01-2054, 2002, https://doi.org/10.4271/2002-01-2054.
- Herron J. Hodgson P.D Cardew-Hall M.J. 1998 “Defining the operating window for an automotive sheet pressing operation” Journal of Materials Processing Technology 80-81 Aug-Sept 1998 68 75
- Azushima A. Kim M. 1990 “A PC Based expert system for forming sequencing design” Annals of the CIRP 39 1 245 248
- Jan. T.C. O'Brien K.T. 1993 “A User friendly, interactive expert system for the injection moulding of engineering thermoplastics” Int. Jnl. Adv. Manuf.Technology 8 42 51
- Kwong C.K. Smith G.F. 1998 “A computational system for process design and injection moulding: combining a blackboard based expert system and cased based reasoning approach” Int. Jnl. Adv. Manufacturing Technology 14 350 357
- Kiritsis D. 1995 “A review of knowledge based expert systems for process planning: Methods and problems” Intl. Jnl. Adv. Manufacturing Technology 10 240 262
- Karima M. 1994 “Practical application of process simulation in stamping” Jnl Materials Processing Technology 46 309 320
- Gains B.R. 1991 “The trade off between knowledge and data in knowledge acquisition” Knowledge Discovery in Databases Piatetsky-Shapiro G. Frawley W.J. AAAI Press/The MIT Press 491 505
- Pilani R. Narasimhan K. Maiti S.K. Singh U.P. Date P.P. 2000 “A hybrid intelligent systems approach for die design in sheet metal forming” Int. Jnl. Adv. Manufacturing Technology 16 370 375
- Scott-Murphy A. Cardew-Hall M.J. Hodgson P.D. Kalyanasundaram S. 2001 “Knowledge based optimization techniques for sheet metal forming die design” NUMIFORM2001 Toyohashi, Japan June 18-21
- Leake D.B. Wilson D.C. 1999 “Combining CBR with interactive knowledge acquisition, manipulation and reuse” ICCBR-99 Althoff K-D Bergmann R. Branting L.K. Springer-Verlag 1999 203 217
- Leake D.B. Birnbaum L. Hammond K. Marlow C. Yang. H. 1999 “Integrating information resources: A case study of engineering design support” ICCBR-99 Althoff K-D Bergmann R. Branting L.K. Springer-Verlag 1999 482 496