The optimization design of product form and its application based on BP-GA-CBR
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Most of the innovation designs of mechanical and electrical products are willing to take an improved design of the present products, which not only inherit the advantages of the current products, but also improve the efficiency and reliability of the design. Optimum method of evolutionary design scheme by feature lines and colour based on CBR is studied. This paper provides the division and quantification of product form element, the method and process of extracting form feature lines of case products. The double models of BP neural network of corresponding relation of feature lines, colour parameters and form perceptual image, and of form perceptual image, product function, product capability and performance and product sales is founded, which is further taken as fitness function of GA. The application process of this method is illustrated by an example of innovation design of family car form.
[1] Zhou Kang-qu. Research on customization model based on customer satisfaction , 2004 .
[2] Jian Sun,et al. Shape optimisation using evolutionary techniques in product design , 2007, Comput. Ind. Eng..
[3] Mao-Lin Chiu,et al. Design moves in situated design with case-based reasoning , 2003 .
[4] Zhao Jiang-hong. Automobile Form Feature and Feature Line , 2007 .