On-line Prediction of Tool Wears by Using Methods of Artificial Neural Networks and Fuzzy Logic

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dc.contributor.authorBaşçiftçi, Fatih
dc.contributor.authorŞeker, Hüseyin
dc.date.accessioned2020-03-26T18:04:46Z
dc.date.available2020-03-26T18:04:46Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe goal of this study is prediction of tool wear with integrated system made by on-line monitoring of the changes on tool during cutting operations with using artificial neural networks and fuzzy logic methods. For best monitoring, the tool condition, multiple sensor data are collected to represent the tool condition. Artificial neural networks with different parameters was first trained with sample experimental data and then tested with test data. Fuzzy logic is used for the classification of tool wear which is estimated with neural network according to the predefined levels. Results with 100% accuracy are gained by fuzzy process in predefined classes. The software written for this study can be used to monitor tool condition on-line, saving sensor data, viewing the process on graphic and producing alarm-control signals when it is necessary.en_US
dc.description.sponsorshipSelcuk University, Konya TurkeySelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Selcuk University Scientific Research Projects Coordinatorship /Konya Turkey.en_US
dc.identifier.citationBaşçiftçi, F., Şeker, H., (2010). On-line Prediction of Tool Wears by Using Methods of Artificial Neural Networks and Fuzzy Logic. Scientific Research and Essays, 5(19), 2883-2888.
dc.identifier.endpage2888en_US
dc.identifier.issn1992-2248en_US
dc.identifier.issue19en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2883en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25131
dc.identifier.volume5en_US
dc.identifier.wosWOS:000284279800007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBaşçiftçi, Fatih
dc.institutionauthorŞeker, Hüseyin
dc.language.isoenen_US
dc.publisherACADEMIC JOURNALSen_US
dc.relation.ispartofScientific Research and Essaysen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectTool condition monitoringen_US
dc.subjectartificial neural networksen_US
dc.subjectfuzzy logicen_US
dc.subjecttool wearen_US
dc.subjectturningen_US
dc.titleOn-line Prediction of Tool Wears by Using Methods of Artificial Neural Networks and Fuzzy Logicen_US
dc.typeArticleen_US

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