ON-LINE A PREDICTIVE MODEL OF CUTTING FORCE IN TURNING WITH 3 AXIS ACCELERATION TRANSDUCER USING NEURAL NETWORK

dc.contributor.authorAsilturk, Ilhan
dc.contributor.authorYilmaz, Nihat
dc.date.accessioned2020-03-26T17:39:28Z
dc.date.available2020-03-26T17:39:28Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description2nd International Conference on Advanced Computer Theory and Engineering (ICACTE 2009) -- SEP 25-27, 2009 -- Cairo, EGYPTen_US
dc.description.abstractIn this study cutting forces prediction was modeled using back propagation (BP) neural network algorithm. Experimental turning dataset is used in this study to train and evaluate the model. The Input dataset includes speed, feed rate, depth of cut, vibration levels along the three axes on tool holder (ax,ay,az). The Output dataset includes feed force, vertical force, and radial force. Marginally acceptable results were given by early experiments of this study and when data was examined, high non-linearity can be seen from the prepared graphic.. In the previous work, a fine development of reliability of predicting the cutting forces can be observed by the help of results. To compare the estimated results of cutting force from this method with the cutting force signal can be measured directly by dynamometer; it is found that the difference between measured and estimated cutting forces is less than 0.2% in all case.en_US
dc.description.sponsorshipIACSIT Comp Theory & Engn Soc, Modeling & Simulat Soc, IACSITen_US
dc.identifier.endpage866en_US
dc.identifier.isbn978-0-79180-297-7
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage859en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23726
dc.identifier.wosWOS:000271545700104en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAMER SOC MECHANICAL ENGINEERSen_US
dc.relation.ispartofPROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectNeural Networken_US
dc.subjectCutting Forcesen_US
dc.subjectCNC Turningen_US
dc.titleON-LINE A PREDICTIVE MODEL OF CUTTING FORCE IN TURNING WITH 3 AXIS ACCELERATION TRANSDUCER USING NEURAL NETWORKen_US
dc.typeConference Objecten_US

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