Prediction of cutting force in ball-end milling of sculptured surface using improved Z-map

被引:1
|
作者
Z. C. Wei
M. J. Wang
Y. J. Cai
S. F. Wang
机构
[1] Dalian University of Technology,School of Mechanical Engineering
[2] Tianjin University of Technology and Education,Tianjin Key Lab of High Speed Machining and Precision Machining
来源
The International Journal of Advanced Manufacturing Technology | 2013年 / 68卷
关键词
Ball-end mill; Cutting force; Feed direction; Z-map; Cutter engagement;
D O I
暂无
中图分类号
学科分类号
摘要
This paper presents an approach for prediction of cutting forces in three-axis ball-end milling of a sculptured surface along an arbitrary tool path. The idea of differentiation is adopted to deal with the problems of varying feed direction, varying cutter engagement, and the consequent varying cutting forces in sculptured surface machining. Based on the differential idea, the whole process of sculptured surface milling is discretized at intervals of feed per tooth, and each segmented process is considered as a small steady-state cutting. For the discrete cuttings, mathematical models of feed turning angle and feed inclination angle are proposed according to the position of start/end points. By using an improved Z-map method, the detailed algorithms of determining the cutter–workpiece interface and the instantaneous in-cut edge segment for sculptured surface machining are suggested. A new integrative chip thickness model which involves the effects of feed turning angle, feed inclination angle, and cutter engagement is also presented. In validation experiment, two practical examples of a sculptured surface three-axis ball-end milling with arbitrary tool path are operated. Comparisons of the predicted cutting forces with the measurements show the effectiveness of the proposed approach.
引用
收藏
页码:1167 / 1177
页数:10
相关论文
共 50 条
  • [1] Prediction of cutting force in ball-end milling of sculptured surface using improved Z-map
    Wei, Z. C.
    Wang, M. J.
    Cai, Y. J.
    Wang, S. F.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 68 (5-8): : 1167 - 1177
  • [2] Cutting force prediction of sculptured surface ball-end milling using Z-map
    Kim, GM
    Cho, PJ
    Chu, CN
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2000, 40 (02): : 277 - 291
  • [3] Modeling on the Milling Force of Ball-end Milling Cutter Based on Z-MAP Method
    Dong Y.
    Li S.
    Hong X.
    Li P.
    Li Y.
    Li Q.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2019, 55 (19): : 201 - 212
  • [4] Mean cutting force prediction in ball-end milling using force map method
    Kim, GM
    Chu, CN
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 146 (03) : 303 - 310
  • [5] Simulation and Experimental Study of Ball-end Milling Surface Topography Based on an Improved Z-MAP Algorithm
    Dong Y.
    Li S.
    Li Y.
    Li P.
    Yang Z.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2017, 53 (23): : 197 - 208
  • [6] THE PREDICTION OF CUTTING FORCE IN BALL-END MILLING
    YANG, MY
    PARK, HD
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1991, 31 (01): : 45 - 54
  • [7] An improved Z-MAP method based on the SQP algorithm for fast surface topography simulation of ball-end milling
    Yukun Xiao
    Guangyan Ge
    Zhilin Zeng
    Xiaobing Feng
    Zhengchun Du
    The International Journal of Advanced Manufacturing Technology, 2023, 128 : 1863 - 1878
  • [8] An improved Z-MAP method based on the SQP algorithm for fast surface topography simulation of ball-end milling
    Xiao, Yukun
    Ge, Guangyan
    Zeng, Zhilin
    Feng, Xiaobing
    Du, Zhengchun
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 128 (3-4): : 1863 - 1878
  • [9] A Prediction Model of Cutting Force about Ball End Milling for Sculptured Surface
    Mou, Wenping
    Zhu, Shaowei
    Zhu, Menghao
    Han, Lei
    Jiang, Lei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [10] Cutting force prediction in ball end milling of sculptured surface with Z-level contouring tool path
    Wei, Z. C.
    Wang, M. J.
    Zhu, J. N.
    Gu, L. Y.
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2011, 51 (05): : 428 - 432