Development of a knowledge-based system for the design of composite automotive components

G. Moynihan, Paul Stephens, Al
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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.
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基于知识的汽车复合材料零部件设计系统的开发
复合材料由两种或两种以上具有显著不同物理性质的成分组成。由于其高强度和轻重量,在汽车工业中使用复合材料是一个新兴的趋势。在零件设计和制造过程之间有一种内在的联系。对于许多设计人员来说,这种情况可能令人生畏,因为他们通常对复合材料及其过程知之甚少。一个直接的结果是产品报废和返工的高比率。因此,有必要实施一种系统的方法来设计复合材料。其中一种方法是质量功能部署(QFD)。通过使用启发式方法,将客户需求转化为设计参数,QFD支持在实际生产之前的计划阶段改进产品质量。本研究的目的是为了在汽车工业中自动化使用与复合材料设计和应用有关的知识。这是通过开发一个包含QFD方法的原型专家系统来完成的。它将为工业设计师提供可能无法获得的复合材料知识。
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