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Experiment-aided virtual prototyping to minimize tool-workpiece vibration during boring of large-sized structures

  • Krzysztof J. Kaliński
  • Marek A. Galewski
  • Michał R. Mazur
  • Natalia MorawskaEmail author
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 73)

Abstract

The paper presents the author’s method of solving the problems of vibration suppression during boring of large-sized workpieces by means of an innovative method of adjusting the rotational speed of the boring bar. It consists in selecting the spindle speed in accordance with the results of the cutting process simulation. The method includes identification of the model of the finite element method of the boring bar. The Root Mean Square (RMS) values of the time plots and dominant values of the peaks in the frequency spectra were obtained during the boring process. The effectiveness of the proposed attempt is demonstrated by the selected mechatronic design technique, known as Experiment-Aided Virtual Prototyping (E-AVP). The proposed method has been verified based on the results of experimental research.

Keywords

boring vibration surveillance optimal spindle speed experimental identification 

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Notes

Acknowledgments

The research was carried out as part of tasks financed under the TANGO1/266350/NCBR/2015 project. Experimental investigations on the WHN 13-15 CNC boring machine were made thanks to cooperation with PHS HYDROTOR S.A. in Tuchola.

References

  1. 1.
    Ajayan, M., Nishad, P. N.: Vibration control of 3D gantry crane with precise positioning in two dimensions. In: Annual International Conference on 24-26 July 2014, pp. 1–5. IEEE Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD) (2014).Google Scholar
  2. 2.
    Yigit, U., Cigeroglu, E., Budak, E.: Chatter reduction in boring process by using piezoelectric shunt damping with experimental verification. Mechanical Systems and Signal Processing 94, 312-321 (2017)Google Scholar
  3. 3.
    Uriarte, L., Zatarain, M., Axinte, D., et al.: Machine tools for large parts. CIRP Annals-Manufacturing Technology 62(2), 731-750 (2013).Google Scholar
  4. 4.
    Kaliński, K. J., Galewski, M. A.: Optimal spindle speed determination for vibration reduction during ball-end milling of flexible details. International Journal of Machine Tools and Manufacture 92, 19-30 (2015).Google Scholar
  5. 5.
    Kruszewski, J., Gawroński, W., Wittbrodt, E., Najbar, F., Grabowski, S.: Rigid Finite Elements Method. Arkady, Warszawa (1975) (in Polish).Google Scholar
  6. 6.
    Kaliński, K. J.: A surveillance of dynamic processes in mechanical systems. The GUT Publishing House, Gdańsk (2012) (in Polish).Google Scholar
  7. 7.
    Galewski, M., Kaliński, K.: Vibration Surveillance at slender high speed milling with the use of changing spindle speed. The GUT Publishing House, Gdańsk (2009) (in Polish).Google Scholar
  8. 8.
    Maia, N. M. M., Silva. J.M.M.: Theoretical and Experimental Modal Analysis. Taunton, Somerset (England): Research Studies Press (1997).Google Scholar
  9. 9.
    Heylen W., Lammens S., Sas P.: Modal Analysis Theory and Testing. KU Leuven (2007).Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Gdansk University of TechnologyGdanskPoland

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