NEW APPROACH TO MECHANICAL KINEMATIC SCHEME GENERATION BASED ON MULTI-GRANULARITY CO-EVOLUTIONARY FUNCTION REASONING

Xiao Renbin  Liu Yong

(CAD Center, Huazhong University of Science and Technology, Wuhan 430074)

Mei Shunqi

(School of Mechanical and Electrical Engineering, Wuhan University of Science and Engineering, Wuhan 430073)

Dong Fangmin

(CAD Center, Huazhong University of Science and Technology, Wuhan 430074)

Abstract: A new approach to mechanical kinematic scheme generation based on multi-granularity co-evolutionary function reasoning is proposed. Firstly, features of co-evolutionary function reasoning model and multi-granularity design model are investigated, then a multi-granularity co-evolutionary function reasoning model is constructed by integrating their strongpoint. Such a model is applied into the kinematic scheme generation and a co-evolutionary algorithm for kinematic scheme generation is presented, in which classified functions are used to describe the kinematic characters of mechanical system and mechanisms, each mechanism and mechanical system is expressed by a motion-transforming function abstractly and series-connected mechanical kinematic schemes are generated based on function reasoning. Next, detailed flow of function reasoning algorithm is provided and the characteristics of the algorithm are analyzed by comparing with those of existed algorithms. Further, the advantages of the algorithm, such as high computing efficiency, high precision in describing motion transformation, are discussed. Finally, kinematic scheme generation of a wire-feeding mechanism is used to verify the effectiveness of the new approach.

Key words: Multi-granularity  Co-evolution  Function reasoning  Kinematic scheme generation

CLC No: TH122

国家自然科学基金资助项目(50075028, 60474077). Received 20050130, received in revised form 20050629