Numerical Cutting Simulation and Experimental Investigations on Determining the Minimum Uncut Chip Thickness of PTFE

被引:1
作者
Cui, Zhi [1 ]
Ni, Jing [1 ]
He, Lihua [1 ,2 ]
Zhu, Zefei [1 ]
Lou, Bokai [1 ]
Liao, Jinda [1 ]
机构
[1] Hangzhou Dianzi Univ, Sch Mech Engn, Hangzhou 310018, Peoples R China
[2] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
PTFE; Finite element simulations; Johnson-Cook model; Minimum uncut chip thickness; Cutting; MODEL; POLYTETRAFLUOROETHYLENE; PREDICTION; PARAMETERS;
D O I
10.1007/s12541-024-01034-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Polytetrafluoroethylene (PTFE) has become an essential material in the manufacturing of critical flow-control components in various industries. These components require high surface quality and micron-level machining dimensions. The study of the minimum uncut chip thickness (MUCT) presents an opportunity to enhance the machining precision of PTFE. The objective of the research is to determine the MUCT of PTFE by employing finite element (FE) cutting simulation and orthogonal cutting experiments. Initially, the two-dimensional orthogonal FE cutting models, with varying parameters of cutting depth (30-80 mu m) and cutting speed (5000 mm/min), utilizing the Johnson-Cook (J-C) constitutive model has been applied for simulating the MUCT of PTFE. The parameters of the J-C constitutive model have been determined through quasi-static tension tests (Strain rates: 0.001 s-1-0.1 s-1, Temperature: 24 degrees C) and the split Hopkinson bar (SHPB) tests (Strain rates: 500 s-1-3000 s-1, Temperature: 24-100 degrees C). Subsequently, the orthogonal cutting experiments corresponding to the FE simulation are designed and performed. The cutting force, cutting chip, and machined surface morphology are analyzed to assess the precision of the established FE model and determine the MUCT of PTFE. It was concluded that the numerical results are in good agreement with the experimental results, with a minimum relative error of 0.885% in cutting force and 2.03% in the axial ratio of chip curvature. And the MUCT for PTFE was determined to be 70 mu m in this study, in the case of rake angle, flank angle, and tool edge radius of the cutting tool are 0 degrees, 6 degrees, and 40 mu m, respectively. It has been indicated that the properties and flow direction of the removed workpiece material play a significant role in chip formation under the influence of extrusion and friction in the workpiece-tool-chip contact area. These results offer a theoretical foundation for enhancing the machining precision of PTFE.
引用
收藏
页码:2003 / 2017
页数:15
相关论文
共 40 条
  • [11] A novel and effective method for cryogenic milling of polytetrafluoroethylene
    Gan, Yongquan
    Wang, Yongqing
    Liu, Kuo
    Han, Lingsheng
    Luo, Qi
    Liu, Haibo
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 112 (3-4) : 969 - 976
  • [12] Surface Integrity Evaluation When Turning Inconel 718 Alloy Using Sustainable Lubricating-Cooling Approaches
    Gong, Le
    Bertolini, Rachele
    Bruschi, Stefania
    Ghiotti, Andrea
    He, Ning
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2022, 9 (01) : 25 - 42
  • [13] Ikawa N., 1992, Nanotechnology, V3, P6, DOI 10.1088/0957-4484/3/1/002
  • [14] Study on Variable Parameter Helical Milling of TC4 Titanium Alloy Tube
    Jiao, Anyuan
    Yuan, Jingqi
    Zhang, Yue
    Zhang, Jialong
    Miao, Yongxin
    Liu, Guojun
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2023, 24 (11) : 1947 - 1959
  • [15] Johnston G. B., 1983, Proceedings of the 37th annual meeting of the Northeastern Weed Science Society, 1983., P51
  • [16] The development of FEM based model of orthogonal cutting for pure iron
    Kong, Jinxing
    Zhang, Tao
    Du, Dongxing
    Wang, Fuzeng
    Jiang, Feng
    Huang, Wen
    [J]. JOURNAL OF MANUFACTURING PROCESSES, 2021, 64 : 674 - 683
  • [17] Prediction of Micro-scale Forces in Dry Grinding Process Through a FEM-ML Hybrid Approach
    Lerra, Flavia
    Candido, Antonio
    Liverani, Erica
    Fortunato, Alessandro
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2022, 23 (01) : 15 - 29
  • [18] The state of the art for numerical simulations of the effect of the microstructure and its evolution in the metal-cutting processes
    Liu, Hongguang
    Xu, Xiang
    Zhang, Jun
    Liu, Zhechao
    He, Yong
    Zhao, Wanhua
    Liu, Zhanqiang
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2022, 177
  • [19] An analytical model for the prediction of minimum chip thickness in micromachining
    Liu, X.
    DeVor, R. E.
    Kapoor, S. G.
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2006, 128 (02): : 474 - 481
  • [20] Definition and determination of the minimum uncut chip thickness of microcutting
    Liu Zhanqiang
    Shi Zhenyu
    Wan Yi
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 69 (5-8) : 1219 - 1232