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

Ryo Koike, Kouhei Ohnishi, Tojiro Aoyama

研究成果: Article査読

18 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)385-388
ページ数4
ジャーナルCIRP Annals - Manufacturing Technology
65
1
DOI
出版ステータスPublished - 2016

ASJC Scopus subject areas

  • 機械工学
  • 産業および生産工学

フィンガープリント

「A sensorless approach for tool fracture detection in milling by integrating multi-axial servo information」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル