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Article: In-line process conditions monitoring expert system for injection molding

TitleIn-line process conditions monitoring expert system for injection molding
Authors
Issue Date2000
PublisherElsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/jmatprotec
Citation
Journal Of Materials Processing Technology, 2000, v. 101 n. 1, p. 268-274 How to Cite?
AbstractInjection molding is one of the most important and efficient manufacturing industries in Hong Kong and China, and has the capability to manufacture high-value-added products. Optimizing process parameters in-line is difficult to achieve due to a large number of factors being involved and the time-limited restriction. This paper describes a monitoring expert system, which is able to predict the developing trends of injection molding operation parameters. In addition, this system provides expert advice on the appropriate actions to be taken before the occurrence of quality problems. The knowledge representation, the structure of the knowledge base, and the inference engine of the monitoring expert system are presented in this paper. One of the main objectives of the research project is to assist operators for quick response in-line, and thus to ensure the quality of the product and improve the production rate. Practical examples regarding the use of this monitoring expert system for a plastic molding company are also included.
Persistent Identifierhttp://hdl.handle.net/10722/74538
ISSN
2015 Impact Factor: 2.359
2015 SCImago Journal Rankings: 1.464
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorLau, HCWen_HK
dc.contributor.authorJiang, Ben_HK
dc.date.accessioned2010-09-06T07:02:19Z-
dc.date.available2010-09-06T07:02:19Z-
dc.date.issued2000en_HK
dc.identifier.citationJournal Of Materials Processing Technology, 2000, v. 101 n. 1, p. 268-274en_HK
dc.identifier.issn0924-0136en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74538-
dc.description.abstractInjection molding is one of the most important and efficient manufacturing industries in Hong Kong and China, and has the capability to manufacture high-value-added products. Optimizing process parameters in-line is difficult to achieve due to a large number of factors being involved and the time-limited restriction. This paper describes a monitoring expert system, which is able to predict the developing trends of injection molding operation parameters. In addition, this system provides expert advice on the appropriate actions to be taken before the occurrence of quality problems. The knowledge representation, the structure of the knowledge base, and the inference engine of the monitoring expert system are presented in this paper. One of the main objectives of the research project is to assist operators for quick response in-line, and thus to ensure the quality of the product and improve the production rate. Practical examples regarding the use of this monitoring expert system for a plastic molding company are also included.en_HK
dc.languageengen_HK
dc.publisherElsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/jmatprotecen_HK
dc.relation.ispartofJournal of Materials Processing Technologyen_HK
dc.titleIn-line process conditions monitoring expert system for injection moldingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0924-0136&volume=101&issue=1-3&spage=268&epage=274&date=2000&atitle=In-line+process+conditions+monitoring+expert+system+for+injection+moldingen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0924-0136(00)00435-0en_HK
dc.identifier.scopuseid_2-s2.0-0033884905en_HK
dc.identifier.hkuros54984en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033884905&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume101en_HK
dc.identifier.issue1en_HK
dc.identifier.spage268en_HK
dc.identifier.epage274en_HK
dc.identifier.isiWOS:000086418100037-
dc.publisher.placeSwitzerlanden_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridLau, HCW=7201497785en_HK
dc.identifier.scopusauthoridJiang, B=23065617900en_HK

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