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Article: Case-based polishing process planning with Fuzzy Set Theory

TitleCase-based polishing process planning with Fuzzy Set Theory
Authors
KeywordsCase-based process planning
Case-based reasoning
Fuzzy Set Theory
Process planning
Issue Date2010
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515
Citation
Journal Of Intelligent Manufacturing, 2010, v. 21 n. 6, p. 831-842 How to Cite?
AbstractPolishing is widely used as a final processing operation for many products and components. Although the level of automation increases gradually over the years, manual or semi-automatic polishing is still commonly practised. The choice of polishing process parameters is largely based on experience of polishing technicians and involves a lengthy "trial and error" iteration before reaching an acceptable level. This paper proposes to acquire successful projects and build up a case repository of polishing parameters of both products and processes. Case-based reasoning (CBR) is then applied to mimic the experience-based polishing process planning. A problem case is first well-structured and then matched against all cases in the repository. The most similar ones are retrieved for further reasoning for their potentials of being revised and adapted to form an optimal solution. This research combines Fuzzy Set Theory with CBR to address two fundamental problems in polishing process planning. One is that values of product features and process parameters such as polishing force, amount of polishing compounds, polishing wheels, rotating speed, and feed rate cannot be exactly measured and controlled. The other is that influencing relationships between process parameters and polishing quality indicators as measured by surface roughness (Ra) and grossness (Gu) cannot be scientifically established mathematically. A case study is conducted within the collaborating company and the results from the proposed system are generally consistent with the actual decisions. © 2009 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/74613
ISSN
2015 Impact Factor: 1.995
2015 SCImago Journal Rankings: 1.397
ISI Accession Number ID
Funding AgencyGrant Number
HKU
National Science Foundation of China70629002
HKSAR ITFGHP/015/06
GHP/042/07LP
GDNSF05200197
Funding Information:

Authors would like to acknowledge financial supports for related work from various companies, HKU Teaching Development Grants (TGD), HKU Seed Fund for Applied Research, National Science Foundation of China (70629002), HKSAR ITF (GHP/015/06, GHP/042/07LP), 863 (2006AA042132) and GDNSF (05200197).

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorNgai, BKKen_HK
dc.contributor.authorChen, Xen_HK
dc.date.accessioned2010-09-06T07:03:04Z-
dc.date.available2010-09-06T07:03:04Z-
dc.date.issued2010en_HK
dc.identifier.citationJournal Of Intelligent Manufacturing, 2010, v. 21 n. 6, p. 831-842en_HK
dc.identifier.issn0956-5515en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74613-
dc.description.abstractPolishing is widely used as a final processing operation for many products and components. Although the level of automation increases gradually over the years, manual or semi-automatic polishing is still commonly practised. The choice of polishing process parameters is largely based on experience of polishing technicians and involves a lengthy "trial and error" iteration before reaching an acceptable level. This paper proposes to acquire successful projects and build up a case repository of polishing parameters of both products and processes. Case-based reasoning (CBR) is then applied to mimic the experience-based polishing process planning. A problem case is first well-structured and then matched against all cases in the repository. The most similar ones are retrieved for further reasoning for their potentials of being revised and adapted to form an optimal solution. This research combines Fuzzy Set Theory with CBR to address two fundamental problems in polishing process planning. One is that values of product features and process parameters such as polishing force, amount of polishing compounds, polishing wheels, rotating speed, and feed rate cannot be exactly measured and controlled. The other is that influencing relationships between process parameters and polishing quality indicators as measured by surface roughness (Ra) and grossness (Gu) cannot be scientifically established mathematically. A case study is conducted within the collaborating company and the results from the proposed system are generally consistent with the actual decisions. © 2009 Springer Science+Business Media, LLC.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515en_HK
dc.relation.ispartofJournal of Intelligent Manufacturingen_HK
dc.subjectCase-based process planningen_HK
dc.subjectCase-based reasoningen_HK
dc.subjectFuzzy Set Theoryen_HK
dc.subjectProcess planningen_HK
dc.titleCase-based polishing process planning with Fuzzy Set Theoryen_HK
dc.typeArticleen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10845-009-0259-9en_HK
dc.identifier.scopuseid_2-s2.0-78650169396en_HK
dc.identifier.hkuros160276en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650169396&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume21en_HK
dc.identifier.issue6en_HK
dc.identifier.spage831en_HK
dc.identifier.epage842en_HK
dc.identifier.isiWOS:000284509700016-
dc.publisher.placeUnited Statesen_HK
dc.relation.projectGateway system for PRD manufacturers to adopt networked logistics customs clearance platforms-
dc.relation.projectRFID-Enabled Real-Time Manufacturing Shop-floor Information Infrastructure for PRD Processing Trade Enterprises-
dc.identifier.scopusauthoridZhang, Y=8305738300en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridNgai, BKK=26421295000en_HK
dc.identifier.scopusauthoridChen, X=15031490600en_HK
dc.identifier.citeulike4204886-

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