Research on Method of Knowledge Classification for Supporting Product Creative Design

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Abstract:

In order to study creative design technology based on multi-domain knowledge-driven, it has been proposed that a novel method of knowledge classification to support product creative design. This method, using the theory of cognitive psychology classifies knowledge into explicit and tacit knowledge, analyzing knowledge transfer and knowledge creation, combining the characteristics of product design, builds up a creative knowledge supply model by constructing a continuous pedigree of creative design. On this basis, the knowledge supporting creative design has been divided into four types: scientific effect, factual knowledge, knowledge of creative design principles, strategies and methods, and personal tacit knowledge. The types and scope of knowledge have been also discussed in different conceptual design stage. The classification provides a theoretical basis for establishing knowledge system of product creative design.

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Periodical:

Advanced Materials Research (Volumes 139-141)

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1142-1147

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October 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Ahmed, R. Bracewell and S. Kim, in: a Symposium in Honour of Ken Wallace, edited by University of Cambridge, UK (2005), pp.1-7.

Google Scholar

[2] Q. Li, W.J. Zhang: Proc. InstnMech. Engrs, Part B: J. Engineering Manufacture, Vol. 212 (1998) No. 8, pp.635-645.

Google Scholar

[3] Information on http: /www. newworldencyclopedia. org/entry/Graham_Wallas.

Google Scholar

[4] I. Nonaka, R. Toyama and N. Konno: Long Range Planning. Vol. 33 (2000) No. 1, pp.5-34.

Google Scholar

[5] ZX. Li : Evaluation and Management of Tacit Knowledge (DaLian University of Technology Press, China 2008) In Chinese.

Google Scholar

[6] M.J. Wilkenfeld, T.B. Ward: Journal of Memory and Language, Vol. 45 (2001) No. 1, pp.21-38.

Google Scholar

[7] Y. Li, X.L. Li, W. Zhao and J. Wang: Computer Integrated Manufacturing Systems, Vol. 9 (2005), pp.1201-1207 In Chinese.

Google Scholar

[8] Information on http: /baike. baidu. com/view/858842. htm?fr=ala0_1.

Google Scholar

[9] J.B. Noh, K.C. Lee, J.K. Kim, J.K. Lee and S.H. Kim: Expert Systems with Applications, Vol. 19 (2000) No. 4, pp.249-259.

Google Scholar

[10] W.D. ZHAO, Q.H. LI and Z.H. SHENG Zhao, Journal of Management Sciences in China, Vol. 3 (2003) No. 4, pp.29-36 In Chinese.

Google Scholar

[11] P. Yang, N.B. Liao, J.N. Ding and J.C. Yang: Digital Design Manufacturing Technology Conspectus (National Defense Industry Press, China 2005) In Chinese.

Google Scholar

[12] G.B. Jin: Creation Engineering Theory and Design Application (China Light Industry Press, China 2008) In Chinese.

Google Scholar

[13] L. Roy: the Keys to Sustainable Competitive Advantage Organizational Dynamics, Vol. 29 (2001) No. 4, pp.164-178.

DOI: 10.1016/s0090-2616(01)00026-2

Google Scholar

[14] R. H . Tan: Ttheory of Inventive Problem Solving, (Science Press, China 2004) In Chinese.

Google Scholar