E3S Web of Conferences (Jan 2021)

Analysis of vibration signal of diamond roller grinding

  • Liu Yong,
  • Fu TingBin,
  • Zhao HuaDong,
  • Zhu ZhenWei

DOI
https://doi.org/10.1051/e3sconf/202124801062
Journal volume & issue
Vol. 248
p. 01062

Abstract

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According to the non-linear and non-stationary characteristics of the vibration signal in the roller grinding manufacturing process, the background signals, namely the vibration signal when the grinder is idling and the vibration signal during contact grinding, are collected separately, and the signal is decomposed into multiple by the method of CEEMDAN modal decomposition. Then several components are removed by correlation analysis. Finally, the signal is denoised and analyzed by wavelet threshold denoising, which lays the foundation for the digital and intelligent grinding of diamond rollers by curve grinders. The results show that most of the grinding noise is in the low frequency, which is mainly caused by the internal friction of the machine tool; the frequency of the grinding vibration signal is mainly distributed around the two frequencies of 250hz and 350hz.