Dynamics of stainless steel turning: Analysis by flicker-noise spectroscopy

Grzegorz Litak, Yuriy S. Polyakov, Serge F. Timashev, Rafał Rusinek

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


We use flicker-noise spectroscopy (FNS), a phenomenological method for the analysis of time and spatial series operating on structure functions and power spectrum estimates, to identify and study harmful chatter vibrations in a regenerative turning process. The 3D cutting force components experimentally measured during stainless steel turning are analyzed, and the parameters of their stochastic dynamics are estimated. Our analysis shows that the system initially exhibiting regular vibrations associated with spindle rotation becomes unstable to high-frequency noisy oscillations (chatter) at larger cutting depths. We suggest that the chatter may be attributed to frictional stick-and-slip interactions between the contact surfaces of cutting tool and workpiece. We compare our findings with previously reported results obtained by statistical, recurrence, multifractal, and wavelet methods. We discuss the potential of FNS in monitoring the turning process in manufacturing practice.

Original languageEnglish (US)
Pages (from-to)6052-6063
Number of pages12
JournalPhysica A: Statistical Mechanics and its Applications
Issue number23
StatePublished - Dec 1 2013

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability


  • Chatter
  • Cutting dynamics
  • Flicker-noise spectroscopy
  • Time series analysis
  • Turning process


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