A comparative study of ANN and FES for predicting of cutting forces and tool tip temperature in turning

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dc.contributor.authorOzkan I.A.
dc.contributor.authorSaritas I.
dc.contributor.authorYaldiz S.
dc.date.accessioned2020-03-26T18:05:54Z
dc.date.available2020-03-26T18:05:54Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description11th International Conference on Computer Systems and Technologies, CompSysTech'10 -- 17 June 2010 through 18 June 2010 -- Sofia -- 81605en_US
dc.description.abstractIn this study, fuzzy expert system (FES) and artificial neural network (ANN) models are designed for the estimation of cutting forces in turning operations. On designed models, cutting forces and experimental temperature data obtained from different cutting conditions were used in process of turning. Cutting forces at different cutting conditions and temperature values can be estimated with the help of developed models. The results obtained with these models, compared with the experimental data. The regression values were found as 0.99505 between the Experiment-FES and, 0.9888 between Experiment- ANN in the analysis. As a result, the both artificial intelligence (AI) methods have made successful modeling, but it's seen that, realized FES model has more successful results than the ANN model in the process of estimation of cutting forces. Copyright © 2010 ACM.en_US
dc.identifier.doi10.1145/1839379.1839412en_US
dc.identifier.endpage185en_US
dc.identifier.isbn9.78145E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage177en_US
dc.identifier.urihttps://dx.doi.org/10.1145/1839379.1839412
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25568
dc.identifier.volume471en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofACM International Conference Proceeding Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial Neural Networken_US
dc.subjectCutting Forceen_US
dc.subjectEstimation Modelen_US
dc.subjectFuzzy Expert Systemen_US
dc.subjectTurningen_US
dc.titleA comparative study of ANN and FES for predicting of cutting forces and tool tip temperature in turningen_US
dc.typeConference Objecten_US

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