Product configuration design system of conductive knowledge mining based on performance

CHEN Weigang, WANG Huan, ZHAO Yanwei, HONG Huanhuan

(College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China)

Abstract: In order to achieve rapid response design of the products supported by the computer and improve efficiency of product development, a product configuration design system of conductive knowledge miming driven by performance was developed. The system contains product requirement management module, product configuration design process management module, product configuration design knowledge management module and evaluation for product configuration management module. Customers′ fuzzy requirements for performance were transformed to matterelement of information about requirements, the most similar case was retrieved in the case base. correlation function was established to analysis if the most similar case meets requirements, if not, it needs to extensive analysis and extensive transformation to resolve conflict between the target case and condition case. Conductive characteristic and conductive objects was gained by defining threshold, the impact of active transformation to conductive characteristics was gotten through comparing data about performance characteristic before and after transformation, and the quality change and quantity change caused by conductive transformation was also gotten by extension classification. Finally, a large screw air compressor was used as the example to validate the system. The results indicate that it is meaningful for improving accuracy of product performance and efficiency of product development through mining conductive knowledge.

Key words: rapid response design; configuration design system; conductive knowledge miming; case reasoning; extension transformation