Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials

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dc.contributor.authorBozdemir, Mustafa
dc.date.accessioned2020-06-25T18:30:00Z
dc.date.available2020-06-25T18:30:00Z
dc.date.issued2018
dc.departmentKırıkkale Üniversitesi
dc.description.abstractTo know the impact of processing parameters of PA6G under different humidity conditions is important as it is vulnerable to humidity up to 7 %. This study investigated the effect of cutting parameters to surface roughness quality in wet and dry conditions. Artificial Neural Network (ANN) modeling is also developed with the obtained results from the experiments. Humidity condition, tool type, cutting speed, cutting rate, and depth of cutting parameters were used as input and average surface roughness value were used as output of the ANN model. Testing results showed that ANN can be used for prediction of average surface roughness.en_US
dc.description.sponsorshipScientific and Technological Research Council (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109M031]; Scientific Research Projects Coordination Unit of Kirikkale University (KU BAP) [2015/82]en_US
dc.description.sponsorshipThe research described here was supported by the Scientific and Technological Research Council (TUBITAK, no. 109M031) and Scientific Research Projects Coordination Unit of Kirikkale University (KU BAP, no. 2015/82).en_US
dc.identifier.citationMustafa Bozdemir,(2018). "Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials", Computational Intelligence and Neuroscience, vol. 2018, Article ID 5850432, 7 pages.en_US
dc.identifier.doi10.1155/2018/5850432
dc.identifier.issn1687-5265
dc.identifier.issn1687-5273
dc.identifier.pmid30050565
dc.identifier.scopus2-s2.0-85049847073
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1155/2018/5850432
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7528
dc.identifier.wosWOS:000437974300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherHindawi Ltden_US
dc.relation.ispartofComputational Intelligence And Neuroscience
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titlePrediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materialsen_US
dc.typeArticle

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