Multi-objective Optimization of Cutting Parameters for Machining Process of Ni-Rich NiTiHf High-Temperature Shape Memory Alloy Using Genetic Algorithm

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dc.contributor.authorKabil, A. O.
dc.contributor.authorKaynak, Y.
dc.contributor.authorSaruhan, H.
dc.contributor.authorBenafan, O.
dc.date.accessioned2021-12-01T18:49:56Z
dc.date.available2021-12-01T18:49:56Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis study focuses on optimizing cutting parameters of NiTiHf high-temperature shape memory alloys using a multi-objective optimization method. The empirical models are used to predict outputs in a turning process of Ni-rich NiTiHf and compared to experimental data. Cutting parameters, such as cutting speed, feed rate, and depth of cut, have found a great effect on performance criteria of turning processes in machining process of this alloy. These parameters were optimized by using Genetic Algorithm to obtain maximum tool life, minimum energy consumption, and maximum surface quality.en_US
dc.description.sponsorshipTUBITAK (The scientific and Technological Research Council of Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [116M346]; NASA Aeronautics Research Mission Directorate (ARMD) Transformational Tools & Technologies (TTT) projecten_US
dc.description.sponsorshipFinancial support from TUBITAK (The scientific and Technological Research Council of Turkey) under Project number 116M346 is greatly acknowledged. OB acknowledges support and funding from the NASA Aeronautics Research Mission Directorate (ARMD) Transformational Tools & Technologies (TTT) project.en_US
dc.identifier.doi10.1007/s40830-021-00328-z
dc.identifier.endpage279en_US
dc.identifier.issn2199-384X
dc.identifier.issn2199-3858
dc.identifier.issue2en_US
dc.identifier.startpage270en_US
dc.identifier.urihttps://doi.org/10.1007/s40830-021-00328-z
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10801
dc.identifier.volume7en_US
dc.identifier.wosWOS:000653611400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofShape Memory And Superelasticityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectNiTiHf high-temperature shape memory alloyen_US
dc.subjectMachinabilityen_US
dc.subjectOptimizationen_US
dc.subjectGenetic algorithmen_US
dc.subjectSurface-Roughnessen_US
dc.subjectPerformanceen_US
dc.subjectPredictionen_US
dc.subjectForcesen_US
dc.subjectVibrationsen_US
dc.subjectDesignen_US
dc.subjectModelsen_US
dc.subjectSpeeden_US
dc.subjectKerfen_US
dc.titleMulti-objective Optimization of Cutting Parameters for Machining Process of Ni-Rich NiTiHf High-Temperature Shape Memory Alloy Using Genetic Algorithmen_US
dc.typeArticleen_US

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