TY  - JOUR
N1  - 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
PB  - Springer Science and Business Media Deutschland GmbH
A1  - Zakaria, M.S.
A1  - Ginta, T.L.
A1  - Azmi, A.I.
Y1  - 2021///
JF  - Lecture Notes in Mechanical Engineering
AV  - none
ID  - scholars15699
KW  - Cutting; Cutting tools; Lagrange multipliers; Magnesium alloys
KW  -  Coupled eulerian lagrangian; Cutting temperature; Eulerian Lagrangian models; Eulerian-lagrangian; Modelling techniques; Orthogonal cutting; Paper models; Plain strain; Prediction tools; Tool temperatures
KW  -  ABAQUS
N2  - 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 Johnsonâ??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.
UR  - 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
SN  - 21954356
SP  - 1237
EP  - 1244
TI  - A Coupled Eulerian Lagrangian (CEL) Model in Prediction Tool Temperature
ER  -