Automated inspection process planning : Algorithmic inspection feature recognition, and inspection case representation for CBR

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

33 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)56-68
Journal / PublicationRobotics and Computer-Integrated Manufacturing
Volume22
Issue number1
Publication statusPublished - Feb 2006

Abstract

General metrological inspection planning is among the least explored computer-aided process planning (CAPP) domains. This paper explores certain basic issues involved in inspection planning using case-based reasoning in an environment of a Generic CAPP Support System. Firstly, algorithmic methods for characterizing and extracting inspection features are proposed and discussed. A sequential knowledge based filtering method is developed to reduce the number of inspection features typically encountered in metrological inspection planning. Finally, a formalized approach for case representation of relevant inspection domain knowledge using a newly developed parametric-list technological feature graph (PLTFG) is presented. © 2005 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Case-based reasoning, Computer-aided inspection process planning, Computer-aided process planning, Inspection feature recognition

Citation Format(s)