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Automatically generating assembly sequences with an ontology-based approach

Yanru Zhong (School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, PR China)
Chaohao Jiang (School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, PR China)
Yuchu Qin (School of Computing and Engineering, University of Huddersfield, Huddersfield, UK)
Guoyu Yang (School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, PR China)
Meifa Huang (School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, PR China)
Xiaonan Luo (School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, PR China)

Assembly Automation

ISSN: 0144-5154

Article publication date: 10 December 2019

Issue publication date: 30 March 2020

304

Abstract

Purpose

The purpose of this paper is to present and develop an ontology-based approach for automatic generation of assembly sequences.

Design/methodology/approach

In this approach, an assembly sequence planning ontology is constructed to represent the structure and interrelationship of product geometry information and assembly process information. In the constructed ontology, certain reasoning rules are defined to describe the knowledge and experience. Based on the ontology with reasoning rules, the algorithm for automatically generating assembly sequences is designed and implemented.

Findings

The effectiveness of this approach is verified via applying it to generate the assembly sequences of a gear reducer.

Originality/value

The main contribution of the paper is presenting and developing an ontology-based approach for automatically generating assembly sequences. This approach can provide a feasible solution for the issue that mathematics-based assembly sequence generation approaches have great difficulty in explicitly representing assembly experience and knowledge.

Keywords

Acknowledgements

Funding: This research is supported by the National Natural Science Foundation of China (No. 61562016; No. 51765012), the Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics (No. GIIP1805), and the Innovation Key Project of Guangxi Province (No. AA18118039-2).

Citation

Zhong, Y., Jiang, C., Qin, Y., Yang, G., Huang, M. and Luo, X. (2020), "Automatically generating assembly sequences with an ontology-based approach", Assembly Automation, Vol. 40 No. 2, pp. 319-334. https://doi.org/10.1108/AA-12-2018-0271

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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