A sensorless approach for tool fracture detection in milling by integrating multi-axial servo information

Ryo Koike, Kouhei Ohnishi, Tojiro Aoyama

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

This paper proposes a sensorless approach for realtime tool fracture detection in milling by means of servo information. Cutting force and torque can be estimated in a wide-frequency range by applying disturbance observer to the ballscrew-driven stages and the spindle controllers. By integrating the estimated information in each axis, a fracture-induced variation in cutting force and torque can be accurately captured with parallel sliding Fourier transform which is an analytical approach of low computation load in time–frequency domain. Validation of the proposed method is presented through milling tests of various milling conditions with several fractured endmills.

Original languageEnglish
Pages (from-to)385-388
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume65
Issue number1
DOIs
Publication statusPublished - 2016

Keywords

  • End milling
  • Monitoring
  • Observer

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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