4.4 Article

Automatically generating assembly sequences with an ontology-based approach

期刊

ASSEMBLY AUTOMATION
卷 40, 期 2, 页码 319-334

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/AA-12-2018-0271

关键词

Semantics; Ontology; Rule-based reasoning; Assembly sequence; Assembly model; Automatic generation

资金

  1. National Natural Science Foundation of China [61562016, 51765012]
  2. Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics [GIIP1805]
  3. Innovation Key Project of Guangxi Province [AA18118039-2]
  4. EPSRC [EP/P006930/1] Funding Source: UKRI

向作者/读者索取更多资源

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.

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