Simulation of cutting process in peripheral milling by predictive cutting force model based on minimum cutting energy

被引:12
作者
Matsumura, Takashi [1 ]
Usui, Eiji [1 ]
机构
[1] Tokyo Denki Univ, Dept Mech Engn, Chiyoda Ku, Tokyo 1018457, Japan
关键词
Cutting; Ball end mill; Cutting force; Chip flow; Cutting energy; Peripheral cutting;
D O I
10.1016/j.ijmachtools.2010.01.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The cutting force and the chip flow direction in peripheral milling are predicted by a predictive force model based on the minimum cutting energy. The chip flow model in milling is made by piling up the orthogonal cuttings in the planes containing the cutting velocities and the chip flow velocities. The cutting edges are divided into discrete segments and the shear plane cutting models are made on the segments in the chip flow model. In the peripheral milling, the shear plane in the cutting model cannot be completely made when the cutting point is near the workpiece surface. When the shear plane is restricted by the workpiece surface, the cutting energy is estimated taking into account the restricted length of the shear plane. The chip flow angle is determined so as to minimize the cutting energy. Then, the cutting force is predicted in the determined chip flow model corresponding to the workpiece shape. The cutting processes in the traverse and the contour millings are simulated as practical operations and the predicted cutting forces verified in comparison with the measured ones. Because the presented model determines the chip flow angle based on the cutting energy, the change in the chip flow angle can be predicted with the cutting model. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:467 / 473
页数:7
相关论文
共 50 条
  • [31] Adaptive Cutting Force Prediction in Milling Processes
    Matsumura T.
    Shirakashi T.
    Usui E.
    International Journal of Automation Technology, 2010, 4 (03) : 221 - 228
  • [32] Influence of Cutting Speed on Cutting Force in High-speed Milling
    Zhao, Zhenyu
    Xiao, Yongshan
    Zhu, Yongqi
    Liu, Bai
    MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3, 2011, 139-141 : 835 - 838
  • [33] Cutting force analysis of oak for the development of a cutting force model
    Dvoracek, Ondrej
    Lechowicz, Daniel
    Haas, Franz
    Frybort, Stephan
    WOOD MATERIAL SCIENCE & ENGINEERING, 2022, 17 (06) : 771 - 782
  • [34] Cutting Force Fuzzy Control & Intelligence Measure in Cutting Process Based on HMM
    Kang, J.
    2015 INTERNATIONAL CONFERENCE ON MECHANICAL SCIENCE AND MECHANICAL DESIGN, MSMD 2015, 2015, : 583 - 589
  • [35] Dynamic Characteristics of the Cutting Force in Milling
    Gubanov A.E.
    Duyun T.A.
    Russian Engineering Research, 2022, 42 (05) : 513 - 516
  • [36] Cutting force estimation by measuring spindle displacement in milling process
    Kim, JH
    Chang, HK
    Han, DC
    Jang, DY
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2005, 54 (01) : 67 - 70
  • [37] Identification and analysis of cutting force coefficients in the helical milling process
    Wang, Haiyan
    Wang, Jianyu
    Zhang, Jinming
    Tao, Kexin
    Wu, Dongxu
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2020, 14 (01): : 1 - 13
  • [38] Research on cutting force of extrusion cutting process based on material flow characteristics
    Sha, Zhihua
    Shi, Li
    Yin, Jian
    Jiang, Shanglei
    Zhang, Shengfang
    Liu, Yu
    JOURNAL OF MANUFACTURING PROCESSES, 2024, 122 : 83 - 96
  • [39] Virtual milling force monitoring method based on in-process milling force prediction model to eliminate predetermination of cutting coefficients
    Kaneko, Kazuki
    Nishida, Isamu
    Sato, Ryuta
    Shirase, Keiichi
    8TH CIRP CONFERENCE ON HIGH PERFORMANCE CUTTING (HPC 2018), 2018, 77 : 22 - 25
  • [40] The Characteristics of Cutting Force in the Rough Machining Process of 5-Axis Milling on PEEK Material Based on Cutting Speed Parameters
    Sutrisno, Himawan Hadi
    INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND ROBOTICS RESEARCH, 2022, 11 (09): : 682 - 689