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A method for common design structure discovery in assembly models using information from multiple sources

Jie Zhang (The Ministry of Education Key Lab of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an, China)
Mi Zuo (The Ministry of Education Key Lab of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an, China)
Pan Wang (The Ministry of Education Key Lab of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an, China)
Jian-feng Yu (The Ministry of Education Key Lab of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an, China)
Yuan Li (The Ministry of Education Key Lab of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an, China)

Assembly Automation

ISSN: 0144-5154

Article publication date: 1 August 2016

307

Abstract

Purpose

Design is a time-consuming process for mechanical production. Some design structures frequently occur in different products and can be shared by multiple assembly models. Thus, identifying these structures and adding them to a design knowledge library significantly speed up the design process. Most studies addressing this issue have traditionally focused on part models and have not extended to assembly models. This paper aims to find a method for common design structure discovery in assembly models.

Design/methodology/approach

Computer-aided design models have a great deal of valuable information defined by different designers in the design stages, especially the assembly models, which are actually carriers of information from multiple sources. In this paper, an approach for discovering a common design structure in assembly models is proposed by comparing information from multiple sources. Assembly models are first represented as attribute connection graphs (ACGs), in which we mainly consider topological information and various attributes of parts and connections. Then, we apply a K-means clustering method based on a similarity analysis of different attributes to classify the parts and connections and transform ACGs of assemblies into type code graphs (TCGs). After this, a discovery algorithm that improves upon fast frequent subgraph mining is used to identify common design structures in assemblies.

Findings

A new method was developed for discovering common design structures in assembly models, considering the similarity of information from multiple sources and allowing some differences in the details to keep both commonalities and individualities of common design structures.

Practical implications

Experiments show that the proposed method is efficient and can produce a reasonable result.

Originality/value

This discovery method helps designers find common design structures from different assembly models and shorten the design cycle. It is an effective approach to build a knowledge library for product design that can shorten the design cycle.

Keywords

Acknowledgements

The authors would like to thank the National Natural Science Foundation of China (51475371), the Defense Research Foundation (A0520132032), the Aerospace Technology Support Fund (2013-HT-XGD), the Natural Science Basic Research Plan in Shaanxi Province of China (2014JM7241) and the Fundamental Research Funds for the Central Universities (3102014JCS05010) for financial support.

Citation

Zhang, J., Zuo, M., Wang, P., Yu, J.-f. and Li, Y. (2016), "A method for common design structure discovery in assembly models using information from multiple sources", Assembly Automation, Vol. 36 No. 3, pp. 274-294. https://doi.org/10.1108/AA-07-2015-058

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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