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A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature

In this paper, modelling technique of predicting cutting temperature by using commercial FEM code ABAQUS is discussed. A considered 2D plain strain orthogonal cutting of AZ31 Mg alloy with coupled Eulerian Lagrangian model is deployed to simulate cutting process. The Johnson�Cook constitutive mode...

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Main Authors: Zakaria, M.S., Ginta, T.L., Azmi, A.I.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111893105&doi=10.1007%2f978-981-16-0866-7_109&partnerID=40&md5=fed26ce8cf2705c6937e10a4967d7159
http://eprints.utp.edu.my/29475/
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spelling my.utp.eprints.294752022-03-25T02:07:28Z A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature Zakaria, M.S. Ginta, T.L. Azmi, A.I. In this paper, modelling technique of predicting cutting temperature by using commercial FEM code ABAQUS is discussed. A considered 2D plain strain orthogonal cutting of AZ31 Mg alloy with coupled Eulerian Lagrangian model is deployed to simulate cutting process. The Johnson�Cook constitutive model is employed to describe material behavior undergo severe plastic deformation during cutting. Generally, this study is to enlighten temperature distribution at rake surface. The numerical model is validated to previous experiment data and a good agreement is achieved. It is found temperature is high near the cutting edge and heat is distributed at rake face from contact between chip and tool. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Science and Business Media Deutschland GmbH 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111893105&doi=10.1007%2f978-981-16-0866-7_109&partnerID=40&md5=fed26ce8cf2705c6937e10a4967d7159 Zakaria, M.S. and Ginta, T.L. and Azmi, A.I. (2021) A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature. Lecture Notes in Mechanical Engineering . pp. 1237-1244. http://eprints.utp.edu.my/29475/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In this paper, modelling technique of predicting cutting temperature by using commercial FEM code ABAQUS is discussed. A considered 2D plain strain orthogonal cutting of AZ31 Mg alloy with coupled Eulerian Lagrangian model is deployed to simulate cutting process. The Johnson�Cook constitutive model is employed to describe material behavior undergo severe plastic deformation during cutting. Generally, this study is to enlighten temperature distribution at rake surface. The numerical model is validated to previous experiment data and a good agreement is achieved. It is found temperature is high near the cutting edge and heat is distributed at rake face from contact between chip and tool. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
format Article
author Zakaria, M.S.
Ginta, T.L.
Azmi, A.I.
spellingShingle Zakaria, M.S.
Ginta, T.L.
Azmi, A.I.
A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
author_facet Zakaria, M.S.
Ginta, T.L.
Azmi, A.I.
author_sort Zakaria, M.S.
title A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
title_short A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
title_full A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
title_fullStr A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
title_full_unstemmed A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
title_sort coupled eulerian lagrangian (cel) model in prediction tool temperature
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111893105&doi=10.1007%2f978-981-16-0866-7_109&partnerID=40&md5=fed26ce8cf2705c6937e10a4967d7159
http://eprints.utp.edu.my/29475/
_version_ 1738656971024760832
score 13.211869

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