Effect of Constitutive Material Model on the Finite Element Simulation of Shear Localization Onset

dc.contributor.author Yilmaz, Okan Deniz
dc.contributor.author Oliaei, Samad Nadimi Bavil
dc.date.accessioned 2024-07-05T15:39:04Z
dc.date.available 2024-07-05T15:39:04Z
dc.date.issued 2020
dc.description Oliaei, Samad Nadimi Bavil/0000-0002-3202-1362; YILMAZ, Okan Deniz/0000-0002-5431-4334 en_US
dc.description.abstract One of the most challenging problems in the field of machining is to determine the onset of shear localization. The consequences of the emergence of shear localized chips are fluctuations in the machining forces, tool wear, deterioration of the surface quality and out-of-tolerance machined components. Several constitutive material models are developed for the simulation of shear localization during machining, especially for Ti6Al4V. However, the accuracy and capability of the proposed models for the prediction of shear localization onset have not been investigated yet. In this study, the effect of different constitutive material models in the prediction of shear localization onset has been investigated. Different material models are studied including the Johnson-Cook (J-C) material model with Cockcroft-Latham damage model, J-C material model with a J-C damage model, models based on modified J-C material models (MJ-C) with strain softening terms, and material model with power-law type strain hardening and strain rate sensitivity, with polynomial thermal softening and polynomial temperature-dependent damage. The results of the finite element models are verified using orthogonal cutting experiments in terms of chip morphology and machining forces. Metallography techniques are used along with SEM observations to elucidate the distinction between continuous and shear localized chips. The results of this study indicate that three models are capable of predicting shear localization onset. However, when compared to the experiments, where a critical cutting speed of 2.8 m/min is obtained for shear localization onset, the results revealed that the model proposed by Sima and Ozel (2016) which is a model based on MJ-C model with temperature-dependent overarching modifier and temperature-dependent material model parameters is more accurate for the prediction of shear localization onset during machining Ti6Al4V. This model is shown to reveal a good prediction for the machining forces as well. en_US
dc.identifier.doi 10.1016/j.simpat.2020.102105
dc.identifier.issn 1569-190X
dc.identifier.issn 1878-1462
dc.identifier.scopus 2-s2.0-85086081665
dc.identifier.uri https://doi.org/10.1016/j.simpat.2020.102105
dc.identifier.uri https://hdl.handle.net/20.500.14411/3164
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Simulation Modelling Practice and Theory
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Finite element method en_US
dc.subject Shear localization en_US
dc.subject Constitutive material model en_US
dc.subject Ti6Al4V en_US
dc.title Effect of Constitutive Material Model on the Finite Element Simulation of Shear Localization Onset en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Oliaei, Samad Nadimi Bavil/0000-0002-3202-1362
gdc.author.id YILMAZ, Okan Deniz/0000-0002-5431-4334
gdc.author.scopusid 57217675277
gdc.author.scopusid 44361197300
gdc.author.wosid Oliaei, Samad Nadimi Bavil/AAW-1891-2020
gdc.author.wosid YILMAZ, Okan Deniz/AAT-3934-2021
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Yilmaz, Okan Deniz; Oliaei, Samad Nadimi Bavil] Atilim Univ, Fac Engn, TR-06836 Ankara, Turkey; [Oliaei, Samad Nadimi Bavil] Cankaya Univ, Dept Mech Engn, TR-06790 Ankara, Turkey en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 102105
gdc.description.volume 104 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3027840211
gdc.identifier.wos WOS:000567869400005
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gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 0203 mechanical engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 7
gdc.plumx.crossrefcites 11
gdc.plumx.mendeley 12
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gdc.scopus.citedcount 11
gdc.virtual.author Yılmaz, Okan Deniz
gdc.virtual.author Oliaei, Samad Nadimi Bavil
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