eprintid: 15699
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/56/99
datestamp: 2023-11-10 03:30:19
lastmod: 2023-11-10 03:30:19
status_changed: 2023-11-10 02:00:09
type: article
metadata_visibility: show
creators_name: Zakaria, M.S.
creators_name: Ginta, T.L.
creators_name: Azmi, A.I.
title: A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
ispublished: pub
keywords: Cutting; Cutting tools; Lagrange multipliers; Magnesium alloys, Coupled eulerian lagrangian; Cutting temperature; Eulerian Lagrangian models; Eulerian-lagrangian; Modelling techniques; Orthogonal cutting; Paper models; Plain strain; Prediction tools; Tool temperatures, ABAQUS
note: cited By 0; Conference of 3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020 ; Conference Date: 10 August 2020 Through 10 August 2020; Conference Code:261469
abstract: 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.
date: 2021
publisher: Springer Science and Business Media Deutschland GmbH
official_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
id_number: 10.1007/978-981-16-0866-7₁₀₉
full_text_status: none
publication: Lecture Notes in Mechanical Engineering
pagerange: 1237-1244
refereed: TRUE
isbn: 9789811608650
issn: 21954356
citation:   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.  ISSN 21954356