Research on Function Based Method for Bio-Inspiration Knowledge Modeling and Transformation  

作　　者：谷朝臣 胡洁 彭颖红 

机构地区：[1]Institute of Electromechanical Design and Knowledge Based Engineering, School of Mechanical Engineering,Shanghai Jiaotong University

出　　处：《Journal of Shanghai Jiaotong university(Science)》2014年第2期190-198,共9页上海交通大学学报（英文版）

基　　金：the National Basic Research Program(973)of China(Nos.2011CB707503 and2011CB013305);the National Natural Science Foundation of China(Nos.51075262,51305260,51275293,51121063,50575142 and 51005148);the"ShuGuang"Project of Shanghai Municipal Education Commissionand Shanghai Education Development Foundation(No.12SG14);the Project of Shanghai Committee of Science and Technology(Nos.11JC1406100,13111102800 and 11BA1405300);the National KeyScientific Instruments and Equipment Development Program of China(Nos.2013YQ03065105 and2011YQ030114);the Program for New Century Excellent Talents in University(No.NCET-08-0361);the National High Technology Research and DevelopmentProgram(863)of China(No.2008AA04Z113)

摘　　要：Biological inspirations are good design mimicry resources. This paper proposes a function based approach for modeling and transformation of bio-inspiration design knowledge. A general functional modeling method for biological domain and engineering domain design knowledge is introduced. Functional similarity based bio-inspiration transformation between biological domain and engineering domain is proposed. The biological function topology transfer and analog solution recomposition are also discussed in this paper.Biological inspirations are good design mimicry resources. This paper proposes a function based approach for modeling and transformation of bio-inspiration design knowledge. A general functional modeling method for biological domain and engineering domain design knowledge is introduced. Functional similarity based bio-inspiration transformation between biological domain and engineering domain is proposed. The biological function topology transfer and analog solution recomposition are also discussed in this paper.

关 键 词：bio-inspired design functional modeling ONTOLOGY functional reasoning knowledge transfer 

分 类 号：TH122[机械工程—机械设计及理论]