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A computer-aided approach improving the Axiomatic Design theory with the distributed design resource environment

Published online by Cambridge University Press:  09 October 2019

Bin Chen Open the ORCID record for Bin Chen [Opens in a new window] ,
Jie Hu ,
Jin Qi  and
Weixing Chen
Bin Chen*
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Jie Hu
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Jin Qi
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Weixing Chen
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
*
Authors for correspondence: Bin Chen, E-mail: chenbinsun@outlook.com, cb5183298@sjtu.edu.cn; Jie Hu, E-mail: hujie@sjtu.edu.cn
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Abstract

In the traditional Axiomatic Design (AD) theory, the mapping from the functional domain to the physical domain is based on the designers’ own knowledge and experience, and there is no systematical approach including the design resources provided outside the designers themselves’ access. Thus, the raw materials for the design process are largely limited, which means they can hardly support the designers’ increasingly creative and innovative conceptions. To help AD theory better support the design process, this paper proposes a computer-aided approach for the mapping from the functional domain to the physical domain within a distributed design resource environment, which consists of numerous design resources offered on the Internet by the providers widely distributed in different locations, institutes, and disciplines. To prove the feasibility of this proposed approach, a software prototype is established, and a natural leisure hotel is designed as an implementation case.

Keywords

Axiomatic Designdesign resourcedistributed environmentfunctional domainphysical domain
Type
Research Article
Information
AI EDAM , Volume 34 , Issue 1: Thematic Collection on “Cognitive and Learning processes for transition to Design for Sustainability (DfS)” , February 2020 , pp. 80 - 103
Copyright
Copyright © Cambridge University Press 2019

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