A Prediction Model of Cutting Force about Ball End Milling for Sculptured Surface

被引:8
|
作者
Mou, Wenping [1 ,2 ]
Zhu, Shaowei [2 ]
Zhu, Menghao [3 ]
Han, Lei [3 ]
Jiang, Lei [3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Sch Mech Engn, Nanjing 210016, Peoples R China
[2] AVIC Chengdu Aircraft Ind Grp Co Ltd, NC Machining Plant, Chengdu 610092, Peoples R China
[3] Southwest Jiaotong Univ, Sch Mech Engn, Inst Adv Design & Mfg, Chengdu 610031, Peoples R China
关键词
CUTTER-WORKPIECE ENGAGEMENT; COEFFICIENTS; SIMULATION; FINISH;
D O I
10.1155/2020/1389718
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cutting force prediction is very important to optimize machining parameters and monitor machining state. In order to predict cutting force of sculptured surface machining with ball end mill accurately, tool posture, cutting edge, contact state between cutter, and workpiece are studied. Firstly, an instantaneous motion model of ball end mill for sculptured surface is established. The instantaneous milling coordinate system and instantaneous tool coordinate system are defined to describe the position and orientation of tool, and the transformation matrix between coordinate systems is derived. Secondly, by solving three boundaries around engagement of cutter and workpiece, a cutter-workpiece engagement model related to tool posture, milling parameters, and tool path is established. It has good adaptability to the variable tool axis relative to the machining surface. Finally, an algorithm of thickness about an instantaneous undeformed chip is researched, and a prediction model of cutting force is realized with microelement cutting theory. Also, the model is suitable for sculptured surface machining with arbitrary tool posture and feed direction. The accuracy of the proposed prediction model was verified by a series of experiments.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Prediction of surface roughness in ball-end milling process by utilizing dynamic cutting force ratio
    S. Tangjitsitcharoen
    P. Thesniyom
    S. Ratanakuakangwan
    [J]. Journal of Intelligent Manufacturing, 2017, 28 : 13 - 21
  • [22] Prediction of surface roughness in ball-end milling process by utilizing dynamic cutting force ratio
    Tangjitsitcharoen, S.
    Thesniyom, P.
    Ratanakuakangwan, S.
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2017, 28 (01) : 13 - 21
  • [23] CWE identification and cutting force prediction in ball-end milling process
    Qin, Shaoqing
    Hao, Yanpeng
    Zhu, Lida
    Wiercigroch, Marian
    Yuan, Zonghui
    Shi, Chuanliang
    Cui, Dayu
    [J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2023, 239
  • [24] Mean cutting force prediction in ball-end milling using force map method
    Kim, GM
    Chu, CN
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 146 (03) : 303 - 310
  • [25] Chatter and dynamic cutting force prediction in high-speed ball end milling
    Dikshit, Mithilesh K.
    Puri, Asit B.
    Maity, Atanu
    [J]. MACHINING SCIENCE AND TECHNOLOGY, 2017, 21 (02) : 291 - 312
  • [26] Prediction of Chatter in CNC Machining based on Dynamic Cutting Force for Ball End Milling
    Daud, R.
    Hasfa, N. K.
    Tomadi, S. H.
    Hassan, M. A.
    Kadirgama, K.
    Noor, M. M.
    Rejab, M. R. M.
    [J]. IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2009, : 1751 - 1756
  • [27] Tool Deflection Modeling in Ball-end Milling of Sculptured Surface
    Cao, Qingyuan
    Zhao, Jun
    Li, Yueen
    Chen, Xiaoxiao
    [J]. PROCEEDINGS OF PRECISION ENGINEERING AND NANOTECHNOLOGY (ASPEN2011), 2012, 516 : 7 - 12
  • [28] Multi-axis ball-end milling force prediction model considering the influence of cutting edge
    Kejia Zhuang
    Yan Yang
    Xing Dai
    Jian Weng
    Chengjin Tian
    Zhongmei Gao
    [J]. The International Journal of Advanced Manufacturing Technology, 2023, 128 : 357 - 371
  • [29] Multi-axis ball-end milling force prediction model considering the influence of cutting edge
    Zhuang, Kejia
    Yang, Yan
    Dai, Xing
    Weng, Jian
    Tian, Chengjin
    Gao, Zhongmei
    [J]. International Journal of Advanced Manufacturing Technology, 2023, 128 (1-2): : 357 - 371
  • [30] Multi-axis ball-end milling force prediction model considering the influence of cutting edge
    Zhuang, Kejia
    Yang, Yan
    Dai, Xing
    Weng, Jian
    Tian, Chengjin
    Gao, Zhongmei
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 128 (1-2): : 357 - 371