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 journalArticle

8 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
JournalCIRP Annals - Manufacturing Technology
DOIs
Publication statusAccepted/In press - 2016

Fingerprint

Torque
Milling (machining)
Fourier transforms
Controllers

Keywords

  • End milling
  • Monitoring
  • Observer

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

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AB - 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.

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