ANN surface roughness prediction of AZ91D magnesium alloys in the turning process

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dc.authoridbuldum, berat baris -- 0000-0003-2855-2571; Akdagli, Ali -- 0000-0003-3312-992X; BICER, Mustafa -- 0000-0003-3278-6071
dc.contributor.authorBuldum, Berat Baris
dc.contributor.authorSık, Aydın
dc.contributor.authorAkdağlı, Ali
dc.contributor.authorBiçer, Mustafa Berkan
dc.contributor.authorAldaş, Mersin Kemal
dc.contributor.authorÖzkul, İskender
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:14:53Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:14:53Z
dc.date.issued2017
dc.departmentMühendislik Fakültesi
dc.description.abstractThis contribution presents an approach for the modeling and prediction of surface roughness in the turning of AZ91D magnesium alloys using an artificial neural network. The experiments were conducted with CCGT, DCGT and VCGT cutting tools under minimum quantity lubrication and dry machining conditions. AZ91D alloys were machined at different cutting speeds and feed rates, and the depth of cut was kept constant. 15 out of 18 experimental data points were used for the training of the artificial neural network model and the remaining 3 were used for the testing process. The average percentage error was calculated as 0.000815 % and 0.663 % for training and testing, respectively. The model and target results were found to have extremely low error rates.
dc.identifier.doi10.3139/120.111088
dc.identifier.endpage920en_US
dc.identifier.issn0025-5300
dc.identifier.issue10en_US
dc.identifier.startpage916en_US
dc.identifier.urihttps://doi.org/10.3139/120.111088
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4196
dc.identifier.volume59en_US
dc.identifier.wosWOS:000415695400013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherCarl Hanser Verlag
dc.relation.ispartofMaterials Testing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMagnesium Alloy
dc.subjectAZ91D
dc.subjectArtificial Neural Network
dc.subjectSurface Roughness
dc.subjectProperty Prediction
dc.titleANN surface roughness prediction of AZ91D magnesium alloys in the turning process
dc.typeArticle

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