Ploughing detection in micromilling processes using the cutting force signal

Hui Taek Yun, Segon Heo, Min Kyu Lee, Byung Kwon Min, Sang Jo Lee

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

A new method is presented for detecting the onset of ploughing during micromilling on the basis of the cutting force signal. The method utilises the variation in the peak values of the cutting force. Multiresolution analysis with the undecimated wavelet transform is used to detect the peak values of the cutting force signal. A ploughing-detection algorithm is developed, which compares the normalised variance in peak values with preset thresholds. The proposed method is verified by comparing the surface roughness of the sidewall under ploughing and normal cutting conditions in sidewall-machining experiments with a micromilling tool.

Original languageEnglish
Pages (from-to)377-382
Number of pages6
JournalInternational Journal of Machine Tools and Manufacture
Volume51
Issue number5
DOIs
Publication statusPublished - 2011 May 1

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Multiresolution analysis
Wavelet transforms
Machining
Surface roughness
Experiments

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

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Ploughing detection in micromilling processes using the cutting force signal. / Yun, Hui Taek; Heo, Segon; Lee, Min Kyu; Min, Byung Kwon; Lee, Sang Jo.

In: International Journal of Machine Tools and Manufacture, Vol. 51, No. 5, 01.05.2011, p. 377-382.

Research output: Contribution to journalArticle

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