Paper
9 January 1997 Development of a knowledge-based system for the design of composite automotive components
Gary P. Moynihan, J. Paul Stephens
Author Affiliations +
Proceedings Volume 2910, Rapid Product Development Technologies; (1997) https://doi.org/10.1117/12.263344
Event: Photonics East '96, 1996, Boston, MA, United States
Abstract
Composite materials are comprised of two or more constituents possessing significantly different physical properties. Due to their high strength and light weight, there is an emerging trend to utilize composites in the automotive industry. There is an inherent link between component design and the manufacturing processes necessary for fabrication. To many designers, this situation may be intimidating, since there is frequently little available understanding of composites and their processes. A direct results is high rates of product scrap and rework. Thus, there is a need to implement a systematic approach to composite material design. One such approach is quality function deployment (QFD). By translating customer requirements into design parameters, through the use of heuristics, QFD supports the improvement of product quality during the planning stages prior to actual production. The purpose of this research is to automate the use of knowledge pertaining to the design and application of composite materials within the automobile industry. This is being accomplished through the development of a prototype expert system incorporating a QFD approach. It will provide industry designers with access to knowledge of composite materials that might not be otherwise available.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary P. Moynihan and J. Paul Stephens "Development of a knowledge-based system for the design of composite automotive components", Proc. SPIE 2910, Rapid Product Development Technologies, (9 January 1997); https://doi.org/10.1117/12.263344
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KEYWORDS
Composites

Manufacturing

Prototyping

Computing systems

Design for manufacturability

Product engineering

Data processing

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