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A formal functional representation methodology for conceptual design of material-flow processing devices

Published online by Cambridge University Press:  04 October 2016

Yong Chen ,
Meng Zhao ,
Ying Liu  and
Youbai Xie
Yong Chen*
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Meng Zhao
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Ying Liu
Affiliation:
Institute of Mechanical and Manufacturing Engineering, Cardiff University, Cardiff, United Kingdom
Youbai Xie
Affiliation:
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
*
Reprint requests to: Yong Chen, School of Mechanical Engineering, Room 801, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang District, Shanghai 200240, China. E-mail: [email protected]
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Abstract

Although there has been considerable computer-aided conceptual design research, most of the proposed approaches are domain specific and can merely achieve conceptual design of energy flows-processing systems. Therefore, this research is devoted to the development of a general (i.e., domain-independent) and knowledge-based methodology that can search in a wide multidisciplinary solution space for suitable solution principles for desired material-flow processing functions without designers' biases toward familiar solution principles. It first proposes an ontology-based approach for representing desired material-flow processing functions in a formal and unambiguous manner. Then a rule-based approach is proposed to represent the functional knowledge of a known solution principle in a general and flexible manner. Thereafter, a simulation-based retrieval approach is developed, which can search for suitable solution principles for desired material-flow processing functions. The proposed approaches have been implemented as a computer-aided conceptual design system for test. The conceptual design of a coin-sorting device demonstrates that our functional representation methodology can make the proposed computer-aided conceptual design system to effectively and precisely retrieve suitable solution principles for a desired material-flow processing function.

Keywords

Conceptual DesignFunctionMaterial-Flow Processing DevicesSolution Principle
Type
Special Issue Articles
Information
AI EDAM , Volume 30 , Special Issue 4: Engineering Design Informatics , November 2016 , pp. 353 - 366
Copyright
Copyright © Cambridge University Press 2016 

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