Simulation of cutting force using nonstationary Gaussian process

A. M.M.Sharif Ullah, Khalifa H. Harib

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


Cutting force signals exhibit a set of stochastic elements that repeat also in a stochastic manner. In this study, it is shown that nonstationary Gaussian processes (i.e., processes wherein the mean and the standard deviation of a normally distributed variable change with time) are able to model and simulate the stochastic elements of cutting force signals. The effectiveness of the proposed approach is demonstrated by comparing the simulated cutting force signal with real cutting force signal in terms of both frequency spectrum and correlation dimension. As realistic and user-friendly simulation of cutting force signals is needed for better process planning and monitoring of material removal processes, the use of the presented approach will help in this regard.

Original languageEnglish
Pages (from-to)681-691
Number of pages11
JournalJournal of Intelligent Manufacturing
Issue number6
Publication statusPublished - Dec 2010


  • Cutting force
  • Intelligent manufacturing
  • Normal distribution
  • Simulation
  • Stochastic process

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence


Dive into the research topics of 'Simulation of cutting force using nonstationary Gaussian process'. Together they form a unique fingerprint.

Cite this