Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach

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dc.authoridGupta, Munish/0000-0002-0777-1559
dc.authoridSarikaya, Murat/0000-0001-6100-0731
dc.authoridKrolczyk, Grzegorz/0000-0002-2967-1719
dc.authoridWojciechowski, Szymon/0000-0002-3380-4588
dc.authoridKORKMAZ, Mehmet Erdi/0000-0002-0481-6002
dc.contributor.authorGupta, Munish Kumar
dc.contributor.authorKorkmaz, Mehmet Erdi
dc.contributor.authorSarikaya, Murat
dc.contributor.authorKrolczyk, Grzegorz M.
dc.contributor.authorGunay, Mustafa
dc.contributor.authorWojciechowski, Szymon
dc.date.accessioned2025-03-23T19:40:54Z
dc.date.available2025-03-23T19:40:54Z
dc.date.issued2022
dc.departmentSinop Üniversitesi
dc.description.abstractAluminium alloys are widely used in modern engineering applications such as automobile, aerospace etc because of its characteristics. The machining of aluminium alloys are also considered as difficult because of its sticky and soft nature, low thermal conductivity, strain hardening effect etc. The cooling conditions employed at cutting zone improved the machining performance but the resources, material consumption, skilled labor etc. are also required for performing the machining experiments. Therefore, the simulation of process parameters with the help of Finite Element Modelling (FEM) during machining is highly researched topic these days. In this work, a new practice from measurement science i.e., FEM simulation was performed with AdvantEdge software and the prediction models were developed for evaluating the cutting forces and cutting temperature while machining AA2024-T351 alloy under dry, liquid nitrogen (LN2) and carbon dioxide (CO2) conditions. Initially, the 3D turning model was developed and the results were compared with experimental findings. The results obtained from simulation model are very close with experimental results with minimum standard value of 0.67 (5.7%) for cutting forces and 4.58 (6.16%) for cutting temperature. Thus, it is worthy to mention that the 3D FE model is efficient and effective to predict and measurement results with minimum error.
dc.description.sponsorshipPolish National Agency For Academic Exchange (NAWA) [PPN/ULM/2020/1/00121]; National Science Centre (NCN) [UMO-2020/37/K/ST8/02795]; National Centre of Science [2017/25/B/ST8/00962]
dc.description.sponsorshipThe authors would like to thanks Polish National Agency For Academic Exchange (NAWA) No. PPN/ULM/2020/1/00121 and National Science Centre (NCN) Project No. UMO-2020/37/K/ST8/02795 for financial supports. This work was also supported by the National Centre of Science (Decision No. 2017/25/B/ST8/00962).
dc.identifier.doi10.1016/j.measurement.2021.110594
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopus2-s2.0-85121275523
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2021.110594
dc.identifier.urihttps://hdl.handle.net/11486/6451
dc.identifier.volume188
dc.identifier.wosWOS:000742841900002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofMeasurement
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectAluminum alloy
dc.subjectCooling conditions
dc.subjectCutting forces
dc.subjectCutting temperature
dc.subjectMachining
dc.subjectSimulation
dc.titleCutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach
dc.typeArticle

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