Prediction of tool wear and tool failure in milling by utilizing magnetostrictive torque sensor

Hideki Aoyama, Ichiro Inasaki, Ichiro Suda, Hiro Ohzeki

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, development of a sensor for detecting cutting torque in milling processes is described, and methods for predicting tool wear and detecting tool failure are proposed. The developed sensor detects cutting torque by using magnetostrictive effect. The specific structure to detect cutting torque without influence of axial force and radial force is given and the torque sensor with the proposed structure is developed. Tool wear is predicted according to originally defined specific cutting force that is derived from cutting area and cutting torque. In order to derive cutting area, a mathematical model for milling processes is constructed. Tool failure is detected by observing the peak value of cutting torque caused by each cutting edge.

Original languageEnglish
JournalTechnical Paper - Society of Manufacturing Engineers. MS
Volume98
Issue number189
Publication statusPublished - 1998

Fingerprint

Torque
Wear of materials
Sensors
Milling (machining)
Mathematical models

Keywords

  • Magnetostrictive Sensor
  • Milling
  • Monitoring
  • Tool Failure
  • Tool Wear
  • Torque Sensor

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Prediction of tool wear and tool failure in milling by utilizing magnetostrictive torque sensor. / Aoyama, Hideki; Inasaki, Ichiro; Suda, Ichiro; Ohzeki, Hiro.

In: Technical Paper - Society of Manufacturing Engineers. MS, Vol. 98, No. 189, 1998.

Research output: Contribution to journalArticle

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