A prediction method for tool point frequency response function based on milling cutters' accurate models

被引:0
|
作者
Zhu J. [1 ]
He D. [1 ]
Zhang T. [1 ]
机构
[1] School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai
来源
关键词
Equivalent mass method; Experimental modal testing; Milling cutters' accurate model; Receptance coupling substructure analysis; Tool point frequency response function prediction;
D O I
10.13465/j.cnki.jvs.2016.16.023
中图分类号
学科分类号
摘要
To obtain a more accurate tool point frequency response function, a new prediction method for tool point frequency response function based on milling cutters' accurate models was presented. On the basis of Timoshenko beam and RCSA theories, a machine tool-spindle-holder-cutting tool system was divided into machine tool-spindle-holder-part of tool rob and the rest of milling cutter, then the rest of milling cutter was subdivided into the remaining tool rod, transition part and several cutter teeth. Furthermore, milling cutters were divided into symmetrical cutters and asymmetric cutters. The accurate models of each type of cutters were established respectively. Finally, with several two-fluted and four-fluted milling cutters as the research objects, predicted tool point frequency response function under the new method and equivalent mass method were compared with experimental results. It was experimentally proven that the new method has higher prediction accuracy than the equivalent mass method, in which the relative errors between natural frequencies of predicted frequency response function and the measured ones were within 5%. © 2016, Editorial Office of Journal of Vibration and Shock. All right reserved.
引用
收藏
页码:142 / 151
页数:9
相关论文
共 26 条
  • [1] Kivanc E.B., Budak E., Structural modeling of end mills for form error and stability analysis, International Journal of Machine Tool & Manufacture, 44, pp. 1151-1161, (2004)
  • [2] Zhu J., Wang J., Zhang T., Et al., An improved tool point frequency response function prediction method based on RCSA, Chinese Journal of Mechanical Engineering, 26, 3, pp. 285-292, (2015)
  • [3] Yan R., Cai F., Peng F., Et al., Predicting frequency response function for tool point of milling cutters using receptance coupling, Huazhong University of Science & Technology: Natural Science Edition, 41, 4, pp. 1-5, (2013)
  • [4] Schmitz T.L., Donaldson R., Predicting high-speed machining dynamics by substructure analysis, Annals of the CIRP, 49, 1, pp. 303-308, (2000)
  • [5] Schmitz T.L., Davies M.A., Kennedy M.D., Tool point frequency response prediction for high-speed machining by RCSA, Journal of Manufacturing Science and Engineering, 123, pp. 700-707, (2001)
  • [6] Schmitz T.L., Davies M.A., Medicus K., Et al., Improving high-speed machining material removal rates by rapid dynamic analysis, Annals of the CIRP, 50, 1, pp. 263-268, (2001)
  • [7] Wang E., Wu B., Hu Y., Et al., Identification of spindle-holder and holder-tool joint parameters, Journal of Vibration and Shock, 33, 10, pp. 50-54, (2014)
  • [8] Ahmadi K., Ahmadian H., Modeling machine tool dynamic using a distributed parameter tool-holder joint interface, International Journal of Machine Tools & Manufacture, 47, pp. 1916-1928, (2007)
  • [9] Mehrpouya M., Graham E., Park S.S., FRF based joint dynamics modeling and identification, Mechanical Systems and Signal Processing, 39, pp. 265-279, (2013)
  • [10] Ahmadian H., Nourmohammadi M., Tool point dynamics prediction by a three-component model utilizing distributed joint interfaces, International Journal of Machine Tools & Manufacture, 50, pp. 998-1005, (2010)