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Research on Function Based Method for Bio-Inspiration Knowledge Modeling and Transformation
  • ISSN号：1006-2467
  • 期刊名称：《上海交通大学学报》
  • 时间：0
  • 分类：TH122[机械工程—机械设计及理论]
  • 作者机构：[1]Institute of Electromechanical Design and Knowledge Based Engineering, School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
  • 相关基金：the National Basic Research Pro- gram （973） of China （Nos. 2011CB707503 and 2011CB013305）, the National Natural Science Foundation of China （Nos. 51075262, 51305260, 51275293, 51121063, 50575142 and 51005148）, the ＂ShuGuang＂ Project of Shanghai Municipal Education Commission and Shanghai Education Development Foundation （No. 12SG14）, the Project of Shanghai Committee of Science and Technology （Nos. I1JC1406100, 13111102800 and 11BAl405300）, the National Key Scientific Instruments and Equipment Development Program of China （Nos. 2013YQ03065105 and 2011YQ030114）, the Program for New Century Excellent Talents in University （No. NCET-08-0361）, the National High Technology Research and Development Program （863） of China （No. 2008AA04Z113）.Acknowledgement We would like to thank Beijing Visual-Graph Company for the help provided by their trial products in visualization of our method.
作者： 谷朝臣[1], 胡洁[1], 彭颖红[1]
中文摘要：

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.

英文摘要：

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.

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期刊信息
  • 《上海交通大学学报》
  • 中国科技核心期刊
  • 主管单位:中华人民共和国教育部
  • 主办单位:上海交通大学
  • 主编：郑杭
  • 地址：上海市华山路1954号15F
  • 邮编：200030
  • 邮箱：shjt@chinajournal.net.cn
  • 电话：021-62933373 62932534
  • 国际标准刊号：ISSN：1006-2467
  • 国内统一刊号：ISSN：31-1466/U
  • 邮发代号:4-256
  • 获奖情况:
  • 1996年全国优秀科技期刊奖,1992年、1996年、1999年国家教育部系统优秀科技期刊奖,2002年“百种重点期刊奖”,2003年百种中国杰出学术期刊,2004年教育部全国高校优秀科技期刊一等奖,2004年“百种重点期刊奖”
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  • 被引量:30903