Modeling forces in milling screw rotors

被引:0
|
作者
Wang, Xi [1 ]
Ahmadi, Keivan [1 ]
机构
[1] Univ Victoria, Dept Mech Engn, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Rotary-screw compressor; Rotor profile; Sensitivity analysis; Milling forces; CHIP GEOMETRY; CUTTING FORCES; MECHANICS; DYNAMICS; PREDICTION; CUTTERS;
D O I
10.1007/s00170-022-10563-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The deflections of screw rotors under machining forces cause mismatch between the male and female rotors and, consequently, accelerated wear and suboptimal efficiency in their performance. Optimizing the machining process to minimize the generated forces and accounting for the resulting mismatch in the design of the rotor profile require accurately computing the machining forces in computer simulations. Virtual machining systems combine graphics-based computation of the cutter-workpiece engagement (CWE) with the physics-based models of machining mechanics to simulate the forces during complex machining processes. However, because of the high computational load of graphical simulations, virtual machining is not suitable for the repetitive force simulations that are required for optimizing the design and manufacturing of rotors. In this work, we present a new method that simulates screw milling forces based on process kinematics instead of graphical simulations. The semianalytical nature of the presented method allows for computing the forces with arbitrary resolution within a reasonable time. The accuracy and efficiency of the presented method are verified by comparing the simulated forces against a dexel-based virtual machining system.
引用
收藏
页码:1217 / 1228
页数:12
相关论文
共 50 条
  • [41] Modeling and simulation of milling forces in side milling multi-layer CFRP with multitooth cutter
    Han, Shengchao
    Chen, Yan
    Xu, Jiuhua
    Fu, Yucan
    Zhou, Jingwen
    Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica, 2014, 31 (05): : 1375 - 1381
  • [42] Modeling and simulation of milling forces in milling plain woven carbon fiber-reinforced plastics
    Su, Fei
    Yuan, Juntang
    Sun, Fujian
    Wang, Zhenhua
    Deng, Zhaohui
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 95 (9-12): : 4141 - 4152
  • [43] Modeling and simulation of milling forces in milling plain woven carbon fiber-reinforced plastics
    Fei Su
    Juntang Yuan
    Fujian Sun
    Zhenhua Wang
    Zhaohui Deng
    The International Journal of Advanced Manufacturing Technology, 2018, 95 : 4141 - 4152
  • [44] Modeling of ball-end milling forces with cutter axis inclination
    Lazoglu, I
    Liang, SY
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2000, 122 (01): : 3 - 11
  • [45] On the dynamics of ball end milling: Modeling of cutting forces and stability analysis
    Abrari, F
    Elbestawi, MA
    Spence, AD
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1998, 38 (03): : 215 - 237
  • [46] A New Modeling Method for Cutting Forces in Side Milling of Aluminum Alloy
    Ning, Fu-da
    Wang, Fu-ji
    Ma, Jian-wei
    INTERNATIONAL CONFERENCE ON MECHANICAL DESIGN, MANUFACTURE AND AUTOMATION ENGINEERING (MDMAE 2014), 2014, : 420 - 424
  • [47] Modeling of Face Milling Operation for Assessing Cutter Trajectory and Cutting Forces
    Karmakar M.
    Das S.
    Journal of The Institution of Engineers (India): Series C, 2019, 100 (05) : 791 - 799
  • [48] Surface modeling and load distribution analysis of ball screw formed by whirling milling
    Lv, Lei
    Lu, Changhou
    Chen, Shujiang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 125 (3-4): : 1603 - 1614
  • [49] A hybrid modeling method for predicting the cutting force in whirlwind milling of lead screw
    Liu, Chao
    Yang, Zidong
    Huang, Shaofu
    He, Yan
    Huang, Zunpeng
    Tuo, Junbo
    JOURNAL OF MANUFACTURING PROCESSES, 2023, 106 : 265 - 287
  • [50] Modeling of cutting forces in end milling based on oblique cutting analysis
    Bin Lin
    Lei Wang
    Yu Guo
    Jiming Yao
    The International Journal of Advanced Manufacturing Technology, 2016, 84 : 727 - 736