Intelligent fixture structure design based on knowledge ontology

F. P. Zhang, T. H. Zhang, Y. Yan

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Fixture configuration is an important stage in the whole fixture design process. Because of the complexity in fixture elements selection and assembling the selected as an entire fixture, it is still a challenge to improve the efficiency of the fixture configuration. By knowledge ontology modeling this paper presents a new methodology for fixture configuration. Firstly, the ontology models of fixture and workpiece are given to represent them respectively. Secondly, combined with the rule-based reasoning (RBR), the case-based reasoning (CBR) and the analytic hierarchy process (AHP), an intelligent fixture selection method is proposed to get the suitable fixture by matching corresponding entities of fixture ontology and workpiece ontology. Then a parameter driven method is used to get fixture and its elements geometry and an automatic assemble method for assembling those elements to an entire fixture. Finally, the modeling, method and system are tested and verified by conducting a typical case.

源语言英语
主期刊名IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
出版商IEEE Computer Society
1820-1824
页数5
ISBN(电子版)9781467380669
DOI
出版状态已出版 - 18 1月 2016
活动IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, 新加坡
期限: 6 12月 20159 12月 2015

出版系列

姓名IEEE International Conference on Industrial Engineering and Engineering Management
2016-January
ISSN(印刷版)2157-3611
ISSN(电子版)2157-362X

会议

会议IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
国家/地区新加坡
Singapore
时期6/12/159/12/15

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