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The experimental study on interaction of vibration and dynamic force in precision milling process

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Abstract

Milling is usually a high-quality and high-efficient processing method for the machining of large structural parts of aerospace equipment. However, the coupled vibration produced by the interaction between the machining process and the dynamic load of the machine tool causes relative displacement of tool and workpiece, which makes it hard to precisely control the dimensional accuracy of the parts. In this study, the coupling vibration of cutter and workpiece under the interaction of machine tool and process dynamic load during the milling of Al 7075-T651 is investigated. The dynamic characteristics of the machine structure and the cutting process are taken into account, and the causes of coupling vibration are analyzed. A novel vibration prediction model is presented by investigating the dynamics between the milling excitation force and the response of the machine tool through the interaction analysis theory. The wavelet packet transform and the frequency response function are utilized to decouple the interaction between the dynamic force load and the vibration response. The predicted X- and Y-direction vibrations from spindle and workpiece are obtained by the proposed method, and the results show that the root-mean-square errors of these vibrations are controlled at around 20.8%, 21.8%, 17.4%, and 17.6%, respectively. The favorable prediction performance of the vibration model indicates that the superimposed coupling of the dynamic milling force and the excitation of the spindle rotation has significant influence on the analysis of machining vibration.

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The data and materials that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Brecher C, Esser M, Witt S (2009) Interaction of manufacturing process and machine tool. CIRP Ann Manuf Technol 58(2):588–607

    Article  Google Scholar 

  2. Uhlmann E, Mahr F, Shi Y, von Wagner U (2013) Process machine interactions in micro milling. Lect Notes Prod Eng 265–284

  3. Zhang SJ, To S, Zhang GQ, Zhu ZW (2015) A review of machine-tool vibration and its influence upon surface generation in ultra-precision machining. Int J Mach Tools Manuf 91:34–42

    Article  Google Scholar 

  4. Filiz S (2009) Vibrations of micro-scale cutting-tools and ultra-high-speed-spindles—modeling and experimentation. Carnegie Mellon University

  5. Zhang SJ, To S (2013) The effects of spindle vibration on surface generation in ultra-precision raster milling. Int J Mach Tools Manuf 71:52–56

    Article  Google Scholar 

  6. Zhang SJ, To S (2013) A theoretical and experimental study of surface generation under spindle vibration in ultra-precision raster milling. Int J Mach Tools Manuf 75:36–45

    Article  Google Scholar 

  7. Jiang B, Cao G, Zhang L, Sun M, Liu S (2014) Influence characteristics of tool vibration and wear on machined surface topography in high-speed milling. Mater Sci Forum 800–801:585–589

    Article  Google Scholar 

  8. Zhu N (2020) Study on influence of cutting vibration on CBN tool wear based on finite element theory. Diam Abrasives Eng 40(1):92–98

    Google Scholar 

  9. Zhu L, Liu C (2020) Recent progress of chatter prediction, detection and suppression in milling. Mech Syst Signal Process 143:106840. https://doi.org/10.1016/j.ymssp.2020.106840

    Article  Google Scholar 

  10. Graham E, Mehrpouya M, Park S (2013) Robust prediction of chatter stability in milling based on the analytical chatter stability. J Manuf Process 15(4):508–517

    Article  Google Scholar 

  11. Yue C, Gao H, Liu X, Liang SY, Wang L (2019) A review of chatter vibration research in milling. Chin J Aeronaut 32(2):215–242

    Article  Google Scholar 

  12. Xiao G, Song K, He Y, Wang W, Zhang Y, Dai YW (2021) Prediction and experimental research of abrasive belt grinding residual stress for titanium alloy based on analytical method. Int J Adv Manuf Technol 115(4):1111–1125

  13. Sun Y, Su Z, Gong Y, Ba D, Yin G, Zhang H, Zhou L (2021) Analytical and experimental study on micro-grinding surface-generated mechanism of DD5 single-crystal superalloy using micro-diamond pencil grinding tool. Arch Civil Mech Eng 21(1):1–22

    Article  Google Scholar 

  14. Liu H, Song W, Zhang Y, Kudreyko A (2021) Generalized Cauchy Degradation Model With Long-range dependence and maximum Lyapunov exponent for remaining useful life. IEEE Trans Instrum Meas 70:1–12

    Google Scholar 

  15. Zhang Y, Wang Q, Li C, Piao Y, Hou N, Hu K (2021) Characterization of surface and subsurface defects induced by abrasive machining of optical crystals using grazing incidence X-ray diffraction and molecular dynamics. J Adv Res. https://doi.org/10.1016/j.jare.2021.05.006

    Article  Google Scholar 

  16. Ding Z, Sun J, Guo W, Jiang X, Wu C, Liang SY (2021) Thermal analysis of 3J33 grinding under minimum quantity lubrication condition. Int J Precis Eng Manuf Green Techn. https://doi.org/10.1007/s40684-021-00391-y

    Article  Google Scholar 

  17. Mativenga P, Hon K (2005) An experimental study of cutting forces in high-speed end milling and implications for dynamic force modeling. ASME JManuf Sci Eng 27(2):251–261

  18. Moradi H, Vossoughi G (2013) Movahhedy MR (2013) Experimental dynamic modelling of peripheral milling with process damping, structural and cutting force nonlinearities. J Sound Vib 332:4709–4731

    Article  Google Scholar 

  19. Jalili M, Hesabi J, Abootorabi M (2017) Simulation of forced vibration in milling process considering gyroscopic moment and rotary inertia. Int J Adv Manuf Technol 89(9–12):2821–2836

    Article  Google Scholar 

  20. Jiang X, Kong X, Zhang Z, Wu Z, Ding Z, Guo M (2020) Modeling the effects of undeformed chip volume (UCV) on residual stresses during the milling of curved thin-walled parts. Int J Mech Sci 167:105162. https://doi.org/10.1016/j.ijmecsci.2019.105162

    Article  Google Scholar 

  21. Wang S, Geng L, Zhang Y, Liu K, Ng TE (2015) Cutting force prediction for five-axis ball-end milling considering cutter vibrations and run-out. Int J Mech Sci 96–97:206–215

    Article  Google Scholar 

  22. Grossi N, Sallese L, Scippa A, Campatelli G (2015) Speed-varying cutting force coefficient identification in milling. Precis Eng 42:321–334

    Article  Google Scholar 

  23. Salehi M, Albertelli P, Goletti M, Ripamonti F, Tomasini G, Monno M (2015) Indirect model based estimation of cutting force and tool tip vibrational behavior in milling machines by sensor fusion. Procedia CIRP 33:239–244

    Article  Google Scholar 

  24. Altintas Y (2012) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Cambridge University Press, Cambridge, pp 124–145

    Google Scholar 

  25. Wang C, Zhang X, Qiao B, Cao H, Chen X (2019) Dynamic force identification in peripheral milling based on CGLS using filtered acceleration signals and averaged transfer functions. ASME J Manuf Sci Eng 141(6):064501. https://doi.org/10.1115/1.4043362

  26. Schmitz TL, Smith KS (2009) Milling dynamics. Springer, Boston, MA

    Book  Google Scholar 

  27. Guo W, Wu C, Ding Z, Zhou Q (2021) Prediction of surface roughness based on a hybrid feature selection method and long short-term memory network in grinding. Int J Adv Manuf Technol 112(9):2853–2871

    Article  Google Scholar 

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Funding

Natural Science Foundation of China (No. 51905347), Recipient: Miaoxian Guo.

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Weicheng Guo: Data collection, validation, writing original manuscript. Miaoxian Guo: Conceptualization, methodology. Ye Yi: Graphic plotting. Chongjun Wu: Manuscript revision. Jiang Xiaohui: Supervision.

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Correspondence to Miaoxian Guo.

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Guo, W., Guo, M., Ye, Y. et al. The experimental study on interaction of vibration and dynamic force in precision milling process. Int J Adv Manuf Technol 119, 7903–7919 (2022). https://doi.org/10.1007/s00170-021-08568-0

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  • DOI: https://doi.org/10.1007/s00170-021-08568-0

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