Gaussian noise process as cutting force model for turning

Henrik T. Sykora, Daniel Bachrathy, Gabor Stepan

Research output: Contribution to journalConference article


As an approximation for the cutting force the applicability of a Gaussian noise process is investigated based on the analysis of measured cutting force signals. It is shown by force measurement in orthogonal turning process, that the Gaussian distribution fits well to the histograms of the measured time histories. It is also shown, that the variance of the measured force signal can be ∼ 5% of the mean value, which is orders of magnitude higher than the noise of the measurement system.

Original languageEnglish
Pages (from-to)94-97
Number of pages4
JournalProcedia CIRP
Publication statusPublished - Jan 1 2018
Event8th CIRP Conference on High Performance Cutting, HPC 2018 - Budapest, Hungary
Duration: Jun 25 2018Jun 27 2018


  • Chatter
  • Cutting force model
  • Noise
  • Turning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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