Constrained functional knowledge modelling and clustering to support conceptual design
Autor: | Z. M. Cao, Yibing Peng, Jie Hu, Xiao Hu |
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Rok vydání: | 2011 |
Předmět: |
Scheme (programming language)
business.industry Process (engineering) Computer science Mechanical Engineering Conceptual model (computer science) Machine learning computer.software_genre Conceptual design Artificial intelligence Cluster analysis Knowledge modelling business computer computer.programming_language |
Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 226:1326-1337 |
ISSN: | 2041-2983 0954-4062 |
DOI: | 10.1177/0954406211420642 |
Popis: | This article presents a functional knowledge modelling and clustering scheme that supports conceptual design process. First, a general framework is introduced. Second, a new constrained functional knowledge model (CFKM) is presented. The details of the model include functional knowledge-related definitions, construction process of CFKM, concept of function relevancy, and structure relevancy. Finally, the proposed functional knowledge modelling method is applied to conceptual design of ‘sealing’ function in a hydraulic cylinder, which demonstrates the possibility in utilizing the functional knowledge with a unified systematic modelling scheme. The construction of CFKMs and the corresponding functional knowledge base is also contributed to intelligent conceptual design system in the future. |
Databáze: | OpenAIRE |
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