Knowledge Capture and Feedback System for Design and Manufacture 2002-01-2054
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.
Citation: Cardew-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. Download Citation
Author(s):
M. J. Cardew-Hall, J. I. Smith, V. Pantano, P. D. Hodgson
Affiliated:
Department of Engineering, Australian National University, Faculty of Science and Technology, Deakin University
Pages: 7
Event:
International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Stamping
Manufacturing systems
Needs assessment
Finite element analysis
CAD, CAM, and CAE
Tools and equipment
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