Study on "Single Factor" Material Model Used in Finite Element Simulation of High Speed Cutting of Mo-Cr Cast Iron

被引:0
|
作者
Yang, Yong [1 ]
Chen, Chengjun [1 ]
Li, Changhe [1 ]
机构
[1] Qingdao Technol Univ, Sch Mech Engn, Qingdao 266033, Shandong, Peoples R China
关键词
Metal cutting; Mo-Cr cast iron; Finite element simulation; Dislocation theory; Material model; FLOW-STRESS;
D O I
10.4028/www.scientific.net/AMM.29-32.365
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Theoretical analysis and material experiment are employed to study the "single factor" material model. Based on the dislocation theory, an analysis shows that material model is deeply affected by temperature. By the least squares best fit to experimental data, material parameters are found. Experiment curves analysis and material parameters comparison show that the material parameters of "single factor" model of Mo-Cr cast iron are temperature dependent. Using the mathematical mapping between material parameters and temperature, the "single factor" material model of Mo-Cr cast iron is established, which is proven to be right by comparing with experimental measurements. This work provides a useful insight for understanding the material model and helps to develop further finite element simulation of high speed cutting process of Mo-Cr cast iron.
引用
收藏
页码:365 / 369
页数:5
相关论文
共 50 条
  • [21] The role of material model in the finite element simulation of high-speed machining of Ti6Al4V
    Gao, Chong-Yang
    Zhang, Liang-Chi
    Liu, Peng-Hui
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2016, 230 (17) : 2959 - 2967
  • [22] Simulation of Finite Element Analysis for Cutting Force of High-speed Dry Gear Milling by Flying Cutter
    Guo Qian
    Lin Chao
    Quan Wei
    ADVANCES IN POWER TRANSMISSION SCIENCE AND TECHNOLOGY, 2011, 86 : 100 - +
  • [23] Finite Element Simulation of Cutting Temperature Field during High Speed Machining Hardened Steel Based on ABAQUS
    Duan, Chunzheng
    Cai, Yujun
    Li, Yuanyuan
    Wang, Minjie
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 341 - +
  • [24] Study on Residual Stress for High-speed Cutting Titanium Alloy Based on Finite Element Method
    Wang, M. H.
    Liu, Z. H.
    Wang, H. J.
    HIGH SPEED MACHINING, 2011, 188 : 216 - 219
  • [25] Finite Element Modeling and Simulation of High-Speed Cutting for Titanium Alloy Considering Macro and Micro Physical Characters
    Yang, Yong
    Guo, Yuwen
    Wang, Fengyu
    INTERNATIONAL CONFERENCE ON MATERIALS PROCESSING AND MECHANICAL MANUFACTURING ENGINEERING (MPMME 2015), 2015, : 165 - 169
  • [26] A study investigating the cutting mechanism of compacted graphite iron based on a novel microstructure of finite element model
    Meng, Fanning
    Zhang, Zhenyu
    Feng, Jiajian
    Gu, Qinming
    Wu, Bin
    Wang, Jianmei
    JOURNAL OF MANUFACTURING PROCESSES, 2022, 81 : 250 - 260
  • [27] Simulation of High-Speed Pantograph Dynamic Performance Based on Finite Element Model and Aerodynamic Pantograph Model
    Li, Lei
    Chen, Ge
    2018 2ND INTERNATIONAL CONFERENCE ON FLUID MECHANICS AND INDUSTRIAL APPLICATIONS, 2018, 1064
  • [28] Simulation of high-speed pantograph dynamic performance based on finite element model and aerodynamic pantograph model
    Wu, Yan
    Wu, Junyong
    Zheng, Jihao
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2009, 44 (06): : 855 - 859
  • [29] FINITE ELEMENT ANALYSIS OF THE INFLUENCE OF THE MATERIAL CONSTITUTIVE LAW FORMULATION ON THE CHIP FORMATION PROCESS DURING A HIGH SPEED METAL CUTTING
    Gavrus, Adinel
    Caestecker, Pascal
    Ragneau, Eric
    PROCEEDINGS OF THE ASME 11TH BIENNIAL CONFERENCE ON ENGINEERING SYSTEMS DESIGN AND ANALYSIS, 2012, VOL 1, 2012, : 543 - 551
  • [30] Hyperbolic constitutive model to study cast iron pipes in 3-D nonlinear finite element analyses
    Zhang, Chunshun
    Ji, Jian
    Kodikara, Jayantha
    Rajani, Balvant
    ENGINEERING FAILURE ANALYSIS, 2017, 75 : 26 - 36