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

Chen, Yong, Zhao, Meng, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Xie, Youbai 2016. A formal functional representation methodology for conceptual design of material-flow processing devices. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30 (04) , pp. 353-366. 10.1017/S0890060416000342

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Conceptual Design Function Material-Flow Processing Devices Solution Principle
Publisher:	Cambridge University Press (CUP)
ISSN:	0890-0604
Date of First Compliant Deposit:	19 October 2016
Date of Acceptance:	4 October 2016
Last Modified:	17 Nov 2024 18:05
URI:	https://orca.cardiff.ac.uk/id/eprint/95463

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