Automatically generating assembly sequences with an ontology-based approach
ISSN: 0144-5154
Article publication date: 10 December 2019
Issue publication date: 30 March 2020
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