基于C-K理论的产品仿生创新设计研究

doi:10.3901/JME.2020.13.207

机械工程学报 ›› 2020, Vol. 56 ›› Issue (13): 207-217.doi: 10.3901/JME.2020.13.207

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基于C-K理论的产品仿生创新设计研究

刘晓敏, 罗林辉, 陈亮, 李娇蓉

福州大学机械工程及自动化学院福州 350116

收稿日期:2019-07-19 修回日期:2019-10-31 出版日期:2020-07-05 发布日期:2020-08-01
作者简介:刘晓敏,男,1971年出生,博士,教授,硕士研究生导师。主要研究方向为产品创新设计方法、集成创新理论、机械仿生技术等。E-mail:lxmliu@fzu.edu.cn;罗林辉,男,1993年出生,硕士研究生。主要研究方向为产品创新设计理论及方法。E-mail:luo_linhui@126.com
基金资助:
国家自然科学基金资助项目（50875049）。

Research on Bio-inspired Design Based on C-K Theory for Product Innovation

LIU Xiaomin, LUO Linhui, CHEN Liang, LI Jiaorong

School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116

Received:2019-07-19 Revised:2019-10-31 Online:2020-07-05 Published:2020-08-01

摘要/Abstract

摘要： 为响应复杂设计的动态演变问题，构建一种基于C-K（Concept-Knowledge，C-K）理论的产品仿生创新过程模型。首先，研究设计元素的转化，规范问题空间-生物空间-技术空间（Problem-biology-technology，PBT）的描述。其次，利用生物学趋同理论及类比转移方法，提取生物原型的功能-策略-动作-结构各层次的知识属性，并获得解决工程问题的灵感启示。然后，基于C-K理论定义仿生设计空间概念及其算子操作，建立仿生算子操作流程模型。最后，通过多生物体知识各属性之间的融合，获取工程问题的多层次描述，进而得到多生物原型的产品可行方案。以管道机器人为例，验证了基于C-K理论的产品仿生创新过程模型具有良好的可行性。

关键词: C-K理论, 仿生创新, 生物原型, 算子, 管道机器人

Abstract: In respond to the dynamic evolution of complex design, a model of bio-inspired innovation design process based on Concept-Knowledge theory is constructed. Firstly, the transformation of design elements is developed and the design space with description of Problem-Biology-Technology is standardized. Then, using the biological convergence theory and the analogy transfer methodology, the knowledge attributes are extracted for function-strategy-action-structure of biological prototype at each level, and the enlightenment are obtained for engineering problems. Furthermore, the bio-inspired design space and its operators are defined to establish the bionic operator process model in light of C-K(Concept-Knowledge) theory. Finally, with the integration of various knowledge attributes of multi-organisms, a multi-level description is obtained for engineering problems, and viable product solutions to multi-biological prototypes are established. Taking the pipeline micro-robot as an example, it's feasible to verify the bio-inspired design process model on the basis of C-K theory.

Key words: C-K theory, bio-inspired innovation, bionic prototype, operators, pipeline micro-robot

中图分类号:

TH122

刘晓敏, 罗林辉, 陈亮, 李娇蓉. 基于C-K理论的产品仿生创新设计研究[J]. 机械工程学报, 2020, 56(13): 207-217.

LIU Xiaomin, LUO Linhui, CHEN Liang, LI Jiaorong. Research on Bio-inspired Design Based on C-K Theory for Product Innovation[J]. Journal of Mechanical Engineering, 2020, 56(13): 207-217.

参考文献

[1] GOEL A. Design,analogy,and creative[J]. IEEE Expert,1997,12(3):62-70.
[2] HU J,MA J,FENG J,et al. Research on new creative conceptual design system using adapted case-based reasoning technique[J]. Artificial Intelligence for Engineering Design, Analysis & Manufacturing,2017,31(01):16-29.
[3] YOUMANS R,ARCISZEWSKI T. Design fixation:Classifications and modern methods of prevention[J]. Artificial Intelligence for Engineering Design,Analysis & Manufacturing,2014,28(2):129-137.
[4] KENNEDY E,MARTING T. Biomimicry:Streamlining the front end of innovation for environmentally sustainable products[J]. Research-Technology Management,2016,59(4):40-48.
[5] 刘晓敏,黄水平,王建辉,等. 基于TRIZ及功能类比的产品概念设计创新[J]. 机械工程学报,2016,52(23):34-42. LIU Xiaomin,HUANG Shuiping,WANG Jianhui,et al. Conceptual design based on TRIZ & function analogy for product innovation[J]. Journal of Mechanical Engine-ering,2016,52(23):34-42.
[6] CHEONG H,SHU L. Using templates and mapping strategies to support analogical transfer in biomimetic design[J]. Design Studies,2013,34(6):706-728.
[7] HELMS M. Solution based problem evolution and problem inception in biologically inspired design[D]. Palo Alto;Georgia Institute of Technology,2011.
[8] 王昊琪,张旭,唐承统. 复杂工程系统下基于模型的公理化设计方法[J]. 机械工程学报,2018,54(7):184-198. WANG Haoqi,ZHANG Xu,TANG Chengtong. Model-based axiomatic design approach for complex engineering systems[J]. Journal of Mechanical Engineering,2018,54(7):184-198.
[9] 刘伟,曹国忠,檀润华,等. 多生物效应技术实现方法研究[J]. 机械工程学报,2016,52(9):129-140. LIU Wei,CAO Guozhong,TAN Runhua,et al. Research on measures to technical realization of multi biological effects[J]. Journal of Mechanical Engineering,2016,52(9):129-140.
[10] 胡洁,马进,戚进,等. 生物激励的识建模与创新类推方法[J]. 机械工程学报,2017,53(15):21-31. HU Jie,MA Jin,QI Jin,et al. Knowledge modeling and innovative analogy methodology of biologically inspired design[J]. Journal of Mechanical Engineering,2017,53(15):21-31.
[11] 罗仕鉴,张宇飞,边泽,等. 产品外形仿生设计研究现状与进展[J]. 机械工程学报,2018,54(21):138-155. LUO Shijian,ZHANG Yufei,BIAN Ze,et al. Status and progress of product shape bionic design[J]. Journal of Mechanical Engineering,2018,54(21):138-155.
[12] RYAN A,ANTHONY N,ROBERT S,et al. Discovery of mental metadata used for analogy formation in function-based design[J]. Journal of Mechanical Design,2016,138(10):101110(1-11).
[13] LEE S,MCADAMS D,MORRIS E. Categorizing biological information based on function-morphology for bio-inspired conceptual design[J]. Artificial Intelligence for Engineering Design Analysis & Manufacturing,2017,31(3):359-375.
[14] HATCHUEL A,WEIL B,MASSON P. Towards an ontology of design:Lessons from C-K design theory and Forcing[J]. Research in Engineering Design,2012,24(2):147-163.
[15] HATCHUEL A,SALGUEIREDO C. Beyond analogy:A model of bio-inspiration for creative design[J]. Artificial Intelligence for Engineering Design Analysis & Manufacturing,2016,30(2):159-170.
[16] SHAI O,REICH Y,HATCHUEL A,et al. Creativity and scientific discovery with infused design and its analysis with C-K theory[J]. Research in Engineering Design,2013,24(2):201-214.
[17] REICH Y,HATCHUEL A,SHAI O,et al. A theoretical analysis of creativity methods in engineering design:Casting and improving ASIT within C-K theory[J]. Journal of Engineering Design,2012,23(2):137-158.
[18] CAMILA F,HATCHUEL A. Modeling biologically inspired design with the C-K theory[C]//Proceedings of the Proceedings of the Design 2014 13th International Design Conference,2014:23-32.
[19] KROLL E,MASSON P,WEIL B. Steepest-first exploration with learning-based path evaluation:Uncovering the design strategy of parameter analysis with C-K theory[J]. Research in Engineering Design,2014,25(4):351-373.
[20] HATCHUEL A,MASSON P,WEIL B. C-K theory:Modeling creative thinking and its impact on research[M]. Springer,Singapore,2017.
[21] WEISBROD G,KROLL E. Idea-configuration-evaluation (ICE):Development and demonstration of a new prescriptive model of the conceptual engineering design process based on parameter analysis and C-K theory[J]. Research in Engineering Design,2018,29(2):203-225.
[22] VATTAM S,HELMS M,GOEL A. A content account of creative analogies in biologically inspired design[J]. Artificial Intelligence for Engineering Design,Analysis & Manufacturing,2010,24(4):467-481.
[23] 龚京忠. 基于FPBS的机械系统模块化设计方法与应用研究[D]. 长沙:国防科学技术大学,2008. GONG Jingzhong. Research on technologies and appli-cations of modular design in the mechanical system based on Function-Principle-Behavior-Structure design theory[D]. National University of Defense Technology,2008.
[24] HELMS M,GOEL A. The Four-box method:Problem formulation and analogy evaluation in biologically inspired design[J]. Journal of Mechanical Design,2014,136(11):111106(1-12).
[25] GU C,HU J,PENG Y. Research on function based method for bio-inspiration knowledge modeling and trans-formation[J]. Journal of Shanghai Jiaotong University (Science),2014,19(2):190-198.
[26] 姚海,金烨,严隽琪. 产品功能需求的定性及定量分析[J]. 机械工程学报,2010,46(5):191-198. YAO Hai,JIN Ye,YAN Junqi. Qualitative and quantitative analysis of requirements on product function[J]. Journal of Mechanical Engineering,2010,46(5):191-198.
[27] 刘群,李素建. 基于《知网》的词汇语义相似度计算[J].中文计算语言学,2002,7(2):59-76. LIU Qun,LI Sujian. Word similarity computing based on how-net[J]. Chinese Computational Linguistics,2002,7(2):59-76.
[28] SU X,MAHADEVAN S,XU P,et al. Dependence assessment in human reliability analysis using evidence theory and AHP[J]. Risk Analysis,2015,35(7):1296-1316.

基于C-K理论的产品仿生创新设计研究

Research on Bio-inspired Design Based on C-K Theory for Product Innovation

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