Predictive modelling of surface roughness and residual stress induced by milling of hot forged and heat treated AA7075

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dc.authorid0009-0000-4859-0829
dc.authorid0009-0007-5694-531X
dc.authorid0000-0001-5519-7240
dc.authorid0000-0002-6150-9762
dc.contributor.authorTok, Görkemen_US
dc.contributor.authorDinçer, Ammar Tarıken_US
dc.contributor.authorKuzu, Ali Taneren_US
dc.contributor.authorBakkal, Mustafaen_US
dc.date.accessioned2025-11-14T06:57:20Z
dc.date.available2025-11-14T06:57:20Z
dc.date.issued2025-11-03
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Mechanical Engineeringen_US
dc.descriptionThe authors would like to thank the Birinci Otomotiv A.S for the financial and equipment support and Simultura Material Technologies Inc. for residual stress measurements.en_US
dc.description.abstractThis study investigates the influence of cutting parameters on residual stress and surface roughness during the milling of hot-forged and T6 heat-treated AA7075 components. Using Taguchi L9 and full-factorial experimental designs and regression modelling, the research highlights important relationships between cutting parameters (cutting speed, feed rate, and depth of cut), residual stress and surface roughness. Higher cutting speeds (350 m/min) and lower feed rates (0.1 mm/tooth) significantly minimized residual stresses, with hoop stress values decreasing from 108.7 MPa at lower speeds (150 m/min) to approximately 73.4 MPa at higher speeds, and axial stress values ranging from 45.9 MPa to 88.5 MPa. Surface roughness (Ra) was most influenced by feed rate, with measurement values varying between 0.25 mu m and 0.92 mu m. Support Vector Regression (SVR) demonstrated better accuracy for predicting residual stress (MAPE: 11.5%) and surface roughness (MAPE: 7%), outperforming Lasso and Ridge regression models. These findings provide a consistent framework for optimizing cutting parameters and enhancing residual stress and surface roughness in AA7075 machining processes, offering practical implications for improving component performance and manufacturing efficiency.en_US
dc.description.sponsorshipBirinci Otomotiv A.Ş.en_US
dc.description.sponsorshipSimultura Material Technologies Inc.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationTok, G., Dinçer, A. T., Kuzu, A. T. & Bakkal, M. (2025). Predictive modelling of surface roughness and residual stress induced by milling of hot forged and heat treated AA7075. International Journal of Advanced Manufacturing Technology, 1-14. doi:https://doi.org/10.1007/s00170-025-16852-6en_US
dc.identifier.endpage14
dc.identifier.issn0268-3768
dc.identifier.issn1433-3015
dc.identifier.scopus2-s2.0-105020802616
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/6785
dc.identifier.urihttps://doi.org/10.1007/s00170-025-16852-6
dc.identifier.wosWOS:001606221400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorKuzu, Ali Taneren_US
dc.institutionauthorid0000-0001-5519-7240
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofInternational Journal of Advanced Manufacturing Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectResidual stressen_US
dc.subjectX-ray diffraction (XRD)en_US
dc.subjectMachiningen_US
dc.subjectRegressionen_US
dc.subjectCutting forcesen_US
dc.subjectSupport vectoren_US
dc.subjectCuttingen_US
dc.subjectSupport vector regressionen_US
dc.subjectSurface roughnessen_US
dc.subjectTurningen_US
dc.subjectCutting parametersen_US
dc.subjectCutting speeden_US
dc.subjectFeedrateen_US
dc.subjectModeling of surface roughnessen_US
dc.subjectPredictive modelsen_US
dc.subjectRegression modellingen_US
dc.subjectStress valuesen_US
dc.subjectResidual stressesen_US
dc.titlePredictive modelling of surface roughness and residual stress induced by milling of hot forged and heat treated AA7075en_US
dc.typeArticleen_US
dspace.entity.typePublicationen_US

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