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Experimental analysis of vibration and sound in order to investigate chatter phenomenon in cold strip rolling

  • Mohammad Reza NiroomandEmail author
  • Mohammad Reza Forouzan
  • Ali Heidari
ORIGINAL ARTICLE
  • 18 Downloads

Abstract

Chatter is one of the most destructive types of vibration which usually occurs in cold strip rolling at high speeds. There is a minimum critical speed at which chatter mechanism may activate. Once the chatter has occurred, mill vibration is then become unstable. Its distinct sound is the most important sign for operators in order to identify chatter. As soon as chatter happens, the mill and its huge foundation vibrate with a sound as a mobile phone vibration. In these conditions, the only way to avoid hazardous damages is to reduce the rolling speed immediately. This paper is an application of sound analysis for solving chatter problem in cold strip rolling which is supported by experimental data. The results showed that upper housing and backup roll, compared with other parts, are more sensitive to chatter and more appropriate for installation of chatter detection sensors. Frequency analysis of recorded signals showed that at the time of chatter occurrence, dominant frequency in vibration signals of all parts of the stand and sound signal is equal. This frequency is in the range of third-octave chatter. It was also found that from the beginning of acceleration growth to hearing the chatter sound lasts less than 200 μs. Therefore, in the absence of automatic chatter detection systems, chatter sound is the best strategy for detecting and preventing the chatter.

Keywords

Chatter Vibration Sound Rolling Experimental analysis Signal processing 

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Notes

Acknowledgments

The authors express their gratitude to the experts of cold rolling mill unit in Mobarakeh Steel Company for their efforts and cooperation.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Kimura Y, Fujita N, Matsubara Y, Kobayashi K, Amanuma Y, Yoshioka O, Sodani Y (2015) High-speed rolling by hybrid-lubrication system in tandem cold rolling mills. J Mater Process Technol 216:357–368CrossRefGoogle Scholar
  2. 2.
    Zhao H, Ehmann KF (2013) Stability analysis of chatter in tandem rolling mills—part 1: single-and multi-stand negative damping effect. J Manuf Sci E-T ASME 135(3):031001CrossRefGoogle Scholar
  3. 3.
    Niroomand MR, Forouzan MR, Salimi M (2015) Theoretical and experimental analysis of chatter in tandem cold rolling Mills based on wave propagation theory. ISIJ 55(3):637–646CrossRefGoogle Scholar
  4. 4.
    Lee DK, Nam J, Kang JS, Chung J-S, Cho SW (2018) Investigation of the cause of the chatter and physical behavior of a work roll in compact endless rolling. Int J Adv Manuf Technol 94(9):4459–4467CrossRefGoogle Scholar
  5. 5.
    Kim Y, Kim C-W, Lee S, Park H (2013) Dynamic modeling and numerical analysis of a cold rolling mill. Int J Precis Eng Manuf 14(3):407–413CrossRefGoogle Scholar
  6. 6.
    Liu X, Zang Y, Gao Z, Zeng L (2016) Time delay effect on regenerative chatter in tandem rolling mills. Shock Vib 2016:15Google Scholar
  7. 7.
    Zeng L, Zang Y, Gao Z (2016) Effect of rolling process parameters on stability of rolling mill vibration with nonlinear friction. J Vibroeng 18(2):1288–1306Google Scholar
  8. 8.
    Mosayebi M, Zarrinkolah F, Farmanesh K (2017) Calculation of stiffness parameters and vibration analysis of a cold rolling mill stand. Int J Adv Manuf Technol 91(1–11):4359–4369CrossRefGoogle Scholar
  9. 9.
    Zhang B, Xu B-S, Xu Y, Zhang B-S (2011) Tribological characteristics and self-repairing effect of hydroxy-magnesium silicate on various surface roughness friction pairs. J Cent S Univ Technol 18(5):1326–1333CrossRefGoogle Scholar
  10. 10.
    Wang Q-Y, Zhang Z, Chen H-Q, Guo S, Zhao J-W (2014) Characteristics of unsteady lubrication film in metal-forming process with dynamic roll gap. J Cent South Univ 21(10):3787–3792CrossRefGoogle Scholar
  11. 11.
    Heidari A, Forouzan MR, Niroomand MR (2018) Development and evaluation of friction models for chatter simulation in cold strip rolling. Int J Adv Manuf Technol 96(5):2055–2075CrossRefGoogle Scholar
  12. 12.
    Heidari A, Forouzan MR, Akbarzadeh S (2014) Development of a rolling chatter model considering unsteady lubrication. ISIJ 54(1):165–170CrossRefGoogle Scholar
  13. 13.
    Fujita N, Kimura Y, Kobayashi K, Itoh K, Amanuma Y, Sodani Y (2016) Dynamic control of lubrication characteristics in high speed tandem cold rolling. J Mater Process Technol 229:407–416CrossRefGoogle Scholar
  14. 14.
    Barszcz T, JabLonski A (2011) A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram. Mech Syst Signal Process 25(1):431–451CrossRefGoogle Scholar
  15. 15.
    Sawalhi N, Randall RB (2011) Vibration response of spalled rolling element bearings: observations, simulations and signal processing techniques to track the spall size. Mech Syst Signal Process 25(3):846–870CrossRefGoogle Scholar
  16. 16.
    Shao Y, Deng X, Yuan Y, Mechefske CK, Chen Z (2014) Characteristic recognition of chatter mark vibration in a rolling mill based on the non-dimensional parameters of the vibration signal. J Mech Sci Technol 28(6):2075–2080CrossRefGoogle Scholar
  17. 17.
    Kozhevnikova IA, Kozhevnikov AV, Sorokin GA, Markushevskii NA (2016) Damping of vibrations in the primary drives of cold-rolling mills. Steel Transl 46(10):739–741CrossRefGoogle Scholar
  18. 18.
    Brusa E, Lemma L (2009) Numerical and experimental analysis of the dynamic effects in compact cluster mills for cold rolling. J Mater Process Technol 209(5):2436–2445CrossRefGoogle Scholar
  19. 19.
    Niroomand MR, Forouzan MR, Salimi M, Kafil M (2012) Frequency analysis of chatter vibrations in tandem rolling mills. J vibroeng 14(2):852–865Google Scholar
  20. 20.
    Tamiya T, Furui K, Iida H (1980) Analysis of chattering phenomenon in cold rolling. Proc Miner Waste Util Symp 2:1191–1202Google Scholar
  21. 21.
    Cao H, Yue Y, Chen X, Zhang X (2017) Chatter detection in milling process based on synchrosqueezing transform of sound signals. Int J Adv Manuf Technol 89(9):2747–2755CrossRefGoogle Scholar
  22. 22.
    Nair U, Krishna BM, Namboothiri VNN, Nampoori VPN (2010) Permutation entropy based real-time chatter detection using audio signal in turning process. Int J Adv Manuf Technol 46(1):61–68CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Mohammad Reza Niroomand
    • 1
    Email author
  • Mohammad Reza Forouzan
    • 2
  • Ali Heidari
    • 3
  1. 1.Department of Mechanical EngineeringPayame Noor UniversityTehranIran
  2. 2.Department of Mechanical EngineeringIsfahan University of TechnologyIsfahanIran
  3. 3.Young Researchers and Elite Club, Khomeinishahr BranchIslamic Azad UniversityKhomeinishahr/IsfahanIran

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