Towards a physical FE modelling of a dry cutting operation: influence of dynamic recrystallization when machining AISI 1045

被引:21
|
作者
Courbon, C. [1 ,2 ]
Mabrouki, T. [2 ]
Rech, J. [3 ]
Mazuyer, D. [1 ]
Perrard, F. [4 ]
D'Eramo, E. [4 ]
机构
[1] Univ Lyon, Ecole Cent Lyon, CNRS, LTDS UMR5513, F-69134 Ecully, France
[2] Univ Lyon, INSA Lyon, CNRS, LaMCoS UMR5259, F-69621 Villeurbanne, France
[3] Univ Lyon, ENI St Etienne, CNRS, LTDS UMR5513, F-42023 St Etienne, France
[4] ASCOMET CREAS, F-57301 Hagondange, France
关键词
AISI; 1045; cutting; shear zone; dynamic recrystallization; grain refinement; FLOW-STRESS; STEEL; SIMULATION; BEHAVIOR; TOOL;
D O I
10.1016/j.procir.2013.06.143
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Whether analytical or numerical, models of a machining operation require important input data such as friction laws or material constitutive models to reach accurate results. Recent experimental studies provided a better fundamental understanding of the cutting process especially regarding the thermo-mechanical conditions associated to the chip formation. However, in most of the numerical works, the deformation behaviour of materials is still represented by a simple empirical equation. This contribution therefore aims at improving the physical meaning of a FE cutting model by the use of an advanced constitutive equation. After an emphasis on the microstructural evolutions occurring in cutting, a dynamic compression test campaign is conducted to assess the material behaviour at high strains. A "metallurgy based" constitutive model, taking into account a dynamic recrystallization process, is identified. It clearly leads to a better description of the thermo-mechanical behaviour than the commonly used Johnson & Cook's model, also identified based on these experiments. Finally, the latter are implemented in a FE code (Abaqus/Explicit (c)) via a VUMAT (c) subroutine. An ALE 2D orthogonal cutting model is then involved to assess their performance as well as the effect of the dynamic recrystallization in machining. Numerical results are compared to experimental data in orthogonal cutting conditions as well as identifications of Johnson & Cook's model conducted in the literature. (C) 2013 The Authors. Published by Elsevier B.V.
引用
收藏
页码:516 / 521
页数:6
相关论文
共 27 条
  • [21] The Influence of the Cutting Speed and Feed Rate on the Machinability Ratings in Machining of AISI 1045 Carbon Steel and AlSi1MgMn Aluminium Alloy
    Lungu, Nicoleta
    Croitoru, Sorin Mihai
    Bisu, Claudiu Florinel
    Dumitrascu, Constantin
    Borzan, Marian
    ENGINEERING DECISIONS AND SCIENTIFIC RESEARCH IN AEROSPACE, ROBOTICS, BIOMECHANICS, MECHANICAL ENGINEERING AND MANUFACTURING, 2013, 436 : 194 - +
  • [22] A 2D finite element approach for predicting the machining performance of nanolayered TiAlCrN coating on WC-Co cutting tool during dry turning of AISI 1045 steel
    Kumar, Ch Sateesh
    Zeman, Pavel
    Polcar, Tomas
    CERAMICS INTERNATIONAL, 2020, 46 (16) : 25073 - 25088
  • [23] Influence of rounded cutting-edge radius and machining parameters on surface roughness and tool wear in milling AISI H13 steel under dry and cryogenic machining
    Abu Bakar, Husni Nazra
    Ghani, Jaharah A.
    Haron, Che Hassan Che
    JURNAL TRIBOLOGI, 2020, 24 : 52 - 64
  • [24] Comparison between mixed ceramic and reinforced ceramic tools in terms of cutting force components modelling and optimization when machining hardened steel AISI 4140 (60 HRC)
    Fnides, B.
    Aouici, H.
    Elbah, M.
    Boutabba, S.
    Boulanouar, L.
    MECHANICS & INDUSTRY, 2015, 16 (06)
  • [25] Machinability characteristics analysis of hard turning operation on AISI 4340 steel using physical vapor deposition multilayer coated carbide cutting tool in the dry environment
    Bag, Rabinarayan
    Panda, Amlana
    Sahoo, Ashok Kumar
    Kumar, Ramanuj
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2023, 237 (06) : 2222 - 2233
  • [26] Influence of Cutting Fluid-Based CuO-Nanofluid with Boric Acid-Nanoparticles Additives on Machining Performances of AISI 4340 Tool Steel in High-Speed Turning Operation
    Zenjanab, Mohammad Jafarian
    Pedrammehr, Siamak
    Qazani, Mohammad Reza Chalak
    Shabgard, Mohammad Reza
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF MECHANICAL ENGINEERING, 2022, 46 (02) : 335 - 345
  • [27] Influence of Cutting Fluid-Based CuO-Nanofluid with Boric Acid-Nanoparticles Additives on Machining Performances of AISI 4340 Tool Steel in High-Speed Turning Operation
    Mohammad Jafarian Zenjanab
    Siamak Pedrammehr
    Mohammad Reza Chalak Qazani
    Mohammad Reza Shabgard
    Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2022, 46 : 335 - 345