Multi-physics modelling in machining OFHC copper - coupling of microstructure-based flow stress and grain refinement models

被引:7
|
作者
Atmani, Z. [1 ,2 ]
Haddag, B. [1 ]
Nouari, M. [1 ]
Zenasni, M. [2 ]
机构
[1] Univ Lorraine, CNRS, LEMTA, Mines Nancy,Mines Albi,GIP InSIC,UMR 7563, F-88100 St Die, France
[2] Univ Mohamed I, ENSAO, EMCS, Oujda, Morocco
关键词
Metal machining; multi-physics modelling; flow stress; dislocation density; microstructure change; grain size; ALE-FE modelling; CHIP SEGMENTATION; MATERIAL BEHAVIOR; STRAIN; DEFORMATION; PLASTICITY; ALUMINUM;
D O I
10.1016/j.procir.2015.03.023
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In metal machining, the workmaterial undergoes severe thermomechanical loading, which has a consequence on the microstructure change at different zones in the machined workpiece (chip, tool tip zone, machined surface). In this paper, a multi-physics modelling in machining OFHC copper was proposed. The plastic flow stress of the workmaterial is described by the so-called Mechanical Threshold Stress (MTS) model. For comparison purpose the classical Johnson-Cook (JC) thermo-viscoplastic flow stress model is also introduced. In order to predict the microstructure change, precisely the grain size evolution in the workmaterial during machining, a physical-based Dislocation Density (DD) model was coupled with the MTS model in the framework of an Arbitrary Lagrangian Eulerian (ALE) Finite Elements (FE) approach. The ALE-FE model is developed for the orthogonal cutting process simulation in 2D case. Coupled MTS-DD material models were implemented in Abaqus/Explicit software via a user-material program. The first part of the multi-physics model is validated by comparison of predicted cutting force components with experimental ones and those predicted by the JC model. In the second part, the grain refinement during the cutting process is predicted, revealing zones where the microstructure is highly affected, particularly in the depth of the newly formed surface. This allows estimating the thickness of the effected subsurface by the cutting process. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:545 / 550
页数:6
相关论文
共 19 条
  • [1] Combined microstructure-based flow stress and grain size evolution models for multi-physics modelling of metal machining
    Atmani, Z.
    Haddag, B.
    Nouari, M.
    Zenasni, M.
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2016, 118 : 77 - 90
  • [2] Electrochemical machining gap prediction with multi-physics coupling model based on two-phase turbulence flow
    Chen, Yuanlong
    Zhou, Xiaochao
    Chen, Peixuan
    Wang, Ziquan
    CHINESE JOURNAL OF AERONAUTICS, 2020, 33 (03) : 1057 - 1063
  • [3] Electrochemical machining gap prediction with multi-physics coupling model based on two-phase turbulence flow
    Yuanlong CHEN
    Xiaochao ZHOU
    Peixuan CHEN
    Ziquan WANG
    Chinese Journal of Aeronautics, 2020, 33 (03) : 1057 - 1063
  • [4] Electrochemical machining gap prediction with multi-physics coupling model based on two-phase turbulence flow
    Yuanlong CHEN
    Xiaochao ZHOU
    Peixuan CHEN
    Ziquan WANG
    Chinese Journal of Aeronautics , 2020, (03) : 1057 - 1063
  • [5] Multi-physics modelling of electrochemical machining process (effects of one-and two-way coupling method on modelling)
    Department of Mechanical Engineering, Tokyo University of Science, 1-14-6 Kudankita, Chiyodaku, Tokyo, 102-0073, Japan
    Nihon Kikai Gakkai Ronbunshu, B, 2009, 750 (203-212):
  • [6] Gap compensation control method for robotic electrochemical milling machining based on multi-physics field coupling
    Yu, Liang
    Fang, Ming
    Jiang, Lijun
    Chu, Xu Feng
    Hou, Liang Liang
    Cheng, Xu
    Wang, Jun Long
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 135 (1-2): : 395 - 407
  • [7] Multi-physics coupling simulation of small mobile nuclear reactor with finite element-based models
    Li, Xiangyue
    Liu, Xiaojing
    Chai, Xiang
    He, Hui
    Zhang, Bin
    Zhang, Tengfei
    COMPUTER PHYSICS COMMUNICATIONS, 2023, 293
  • [8] Flow Heat Transfer and Mechanical Characteristics of High Temperature Heat Pipe Based on Multi-physics Coupling
    Jiao G.
    Dai L.
    Xia G.
    Wang J.
    Peng M.
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2024, 58 (01): : 60 - 68
  • [9] Quantification of uncertainties in grain size predictions of a microstructure-based flow stress model and application to gear wheel forging
    Henke, T.
    Bambach, M.
    Hirt, G.
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2013, 62 (01) : 287 - 290
  • [10] Microstructure-based cleavage modelling to study grain size refinement and simulated heat affected zones of S690 high strength steel
    Jiang, Quanxin
    Bertolo, Virginia M.
    Popovich, Vera
    Sietsma, Jilt
    Walters, Carey L.
    MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2023, 876