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Article: Design and implementation of a process optimizer: A case study on monitoring molding operations

TitleDesign and implementation of a process optimizer: A case study on monitoring molding operations
Authors
KeywordsArtificial intelligence
Fuzzy logic reasoning
Genetic algorithm
Optimization
Issue Date2005
PublisherElsevier Ltd.
Citation
Expert Systems, 2005, v. 22 n. 1, p. 12-21 How to Cite?
AbstractTo cope with the requirements of high dimensional accuracy for injection molding components, it is important to optimize the process parameters in order to sustain the high level dimensional quality of the molded parts. In this respect, a study in the domain of process optimization is of paramount importance in terms of determining the optimal set of injection molding parameters. To this end, a methodology to establish an integrated model which consists of both fuzzy logic reasoning and a genetic algorithm is proposed. These two artificial intelligence techniques can complement each other to form an integrated model which capitalizes on the merits and at the same time offsets the pitfalls of the involved technologies. To validate the feasibility of the proposed model, a case study related to injection molding optimization is also covered in this paper.
Persistent Identifierhttp://hdl.handle.net/10722/74619
ISSN
2015 Impact Factor: 0.947
2015 SCImago Journal Rankings: 0.496
References

 

DC FieldValueLanguage
dc.contributor.authorLau, HCWen_HK
dc.contributor.authorLee, CKMen_HK
dc.contributor.authorIp, WHen_HK
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorLeung, RWKen_HK
dc.date.accessioned2010-09-06T07:03:08Z-
dc.date.available2010-09-06T07:03:08Z-
dc.date.issued2005en_HK
dc.identifier.citationExpert Systems, 2005, v. 22 n. 1, p. 12-21en_HK
dc.identifier.issn0266-4720en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74619-
dc.description.abstractTo cope with the requirements of high dimensional accuracy for injection molding components, it is important to optimize the process parameters in order to sustain the high level dimensional quality of the molded parts. In this respect, a study in the domain of process optimization is of paramount importance in terms of determining the optimal set of injection molding parameters. To this end, a methodology to establish an integrated model which consists of both fuzzy logic reasoning and a genetic algorithm is proposed. These two artificial intelligence techniques can complement each other to form an integrated model which capitalizes on the merits and at the same time offsets the pitfalls of the involved technologies. To validate the feasibility of the proposed model, a case study related to injection molding optimization is also covered in this paper.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd.en_HK
dc.relation.ispartofExpert Systemsen_HK
dc.rightsInternational Journal of Expert Systems. Copyright © Elsevier Ltd.en_HK
dc.subjectArtificial intelligenceen_HK
dc.subjectFuzzy logic reasoningen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectOptimizationen_HK
dc.titleDesign and implementation of a process optimizer: A case study on monitoring molding operationsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0894-9077&volume=22&issue=1&spage=12&epage=21&date=2005&atitle=Design+and+implementation+of+a+process+optimizer:+a+case+study+on+monitoring+molding+operationsen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-27644479575en_HK
dc.identifier.hkuros100465en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-27644479575&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume22en_HK
dc.identifier.issue1en_HK
dc.identifier.spage12en_HK
dc.identifier.epage21en_HK
dc.identifier.scopusauthoridLau, HCW=7201497785en_HK
dc.identifier.scopusauthoridLee, CKM=24468281700en_HK
dc.identifier.scopusauthoridIp, WH=7102820032en_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridLeung, RWK=7101875683en_HK

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