Intelligent fixture structure design based on knowledge ontology

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1820-1824
Number of pages5
ISBN (Electronic)9781467380669
DOIs
Publication statusPublished - 18 Jan 2016
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore
Duration: 6 Dec 20159 Dec 2015

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-January
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
Country/TerritorySingapore
CitySingapore
Period6/12/159/12/15

Keywords

  • Analytic hierarchy process (AHP)
  • Case-based reasoning (CBR)
  • Fixture configuration design
  • Ontology
  • Rule-based reasoning (RBR)

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