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Article: A knowledge-based approach to automated machining process selection and sequencing

TitleA knowledge-based approach to automated machining process selection and sequencing
Authors
Issue Date1995
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
Citation
International Journal Of Production Research, 1995, v. 33 n. 12, p. 3465-3484 How to Cite?
AbstractThis paper describes an expert module for automatic process selection and sequencing. This process selection and sequencing algorithm comprises three sub-algorithms, the transformation algorithm, the refinement algorithm and the linearization algorithm. The module is a part of a prototype expert process planning system for the machining of prismatic parts. In this prototype CAPP system, both the part description and the operation sequence are represented by a tree structure. To generate the process sequence for a given part, an operation tree is converted from the geometric description in the transformation algorithm and this tree will then be refined and then linearized to the final process sequence. The system is equipped with a sequence knowledge-base which records various types of information including the process capabilities, filling knowledge, surface priority, surface knowledge, refinement knowledge, and linearizing strategy.
Persistent Identifierhttp://hdl.handle.net/10722/177624
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, TNen_US
dc.contributor.authorSiu, SLen_US
dc.date.accessioned2012-12-19T09:38:25Z-
dc.date.available2012-12-19T09:38:25Z-
dc.date.issued1995en_US
dc.identifier.citationInternational Journal Of Production Research, 1995, v. 33 n. 12, p. 3465-3484en_US
dc.identifier.issn0020-7543en_US
dc.identifier.urihttp://hdl.handle.net/10722/177624-
dc.description.abstractThis paper describes an expert module for automatic process selection and sequencing. This process selection and sequencing algorithm comprises three sub-algorithms, the transformation algorithm, the refinement algorithm and the linearization algorithm. The module is a part of a prototype expert process planning system for the machining of prismatic parts. In this prototype CAPP system, both the part description and the operation sequence are represented by a tree structure. To generate the process sequence for a given part, an operation tree is converted from the geometric description in the transformation algorithm and this tree will then be refined and then linearized to the final process sequence. The system is equipped with a sequence knowledge-base which records various types of information including the process capabilities, filling knowledge, surface priority, surface knowledge, refinement knowledge, and linearizing strategy.en_US
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.aspen_US
dc.relation.ispartofInternational Journal of Production Researchen_US
dc.titleA knowledge-based approach to automated machining process selection and sequencingen_US
dc.typeArticleen_US
dc.identifier.emailWong, TN: tnwong@hku.hken_US
dc.identifier.authorityWong, TN=rp00192en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/00207549508904885-
dc.identifier.scopuseid_2-s2.0-0029514323en_US
dc.identifier.hkuros14481-
dc.identifier.volume33en_US
dc.identifier.issue12en_US
dc.identifier.spage3465en_US
dc.identifier.epage3484en_US
dc.identifier.isiWOS:A1995TE31500015-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridWong, TN=55301015400en_US
dc.identifier.scopusauthoridSiu, SL=7006115284en_US

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