Intelligent adaptive control and monitoring of band sawing using a neural-fuzzy system

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dc.contributor.authorAsiltuerk, Ilhan
dc.contributor.authorUenuevar, Ali
dc.date.accessioned2020-03-26T17:38:59Z
dc.date.available2020-03-26T17:38:59Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn bandsaw machines, it is desired to feed the bandsaw blade into the workpiece with an appropriate feeding force in order to perform an efficient cutting operation. This can be accomplished by controlling the feed rate and thrust force by accurately detecting the cutting resistance against the bandsaw blade during cutting operation. In this study, a neural-fuzzy-based force model for controlling band sawing process was established. Cutting parameters were continuously updated by a secondary neural network, to compensate the effect of environmental disturbances. Required feed rate and cutting speed were adjusted by developed fuzzy logic controller. Results of cutting experiments using several steel specimens show that the developed neural-fuzzy system performs well in real time in controlling cutting speed and feed rate during band sawing. A material identification system was developed by using the measured cutting forces. Materials were identified at the beginning of the cutting operation and cutting force model was updated by using the detected material type. Consequently, cutting speed and feed rate were adjusted by using the updated model. The new methodology is found to be easily integrable to existing production systems. (c) 2008 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipSelcuk University Scientific Research Project CoordinatorshipSelcuk University [06101008]; IMAS (Integrated Cutting Systems)en_US
dc.description.sponsorshipThe authors would like to thank to Selcuk University Scientific Research Project Coordinatorship (Project No: 06101008) and executives of IMAS (Integrated Cutting Systems) because of their sponsorship.en_US
dc.identifier.doi10.1016/j.jmatprotec.2008.05.031en_US
dc.identifier.endpage2313en_US
dc.identifier.issn0924-0136en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2302en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.jmatprotec.2008.05.031
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23619
dc.identifier.volume209en_US
dc.identifier.wosWOS:000264032200010en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE SAen_US
dc.relation.ispartofJOURNAL OF MATERIALS PROCESSING TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectIntelligent manufacturingen_US
dc.subjectFuzzy controlen_US
dc.subjectNeural-fuzzy controlleren_US
dc.subjectAdaptive control of band sawingen_US
dc.subjectBand sawingen_US
dc.titleIntelligent adaptive control and monitoring of band sawing using a neural-fuzzy systemen_US
dc.typeArticleen_US

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