Real-time cutting force/torque prediction during turning

Kazuto Enomoto, Masaya Takei, Yasuhiro Kakinuma

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The automation of machining processes requireshighly accurate process monitoring. However, the use of additional sensors leads to a significant increase in the cost and reduces the stiffness and reliability of mechanical systems. Hence, we propose a system called the cutting force observer, which uses a sensor-less and real-time cutting force estimation methodology based on the disturbance observer theory. Monitoring methods using the cutting force observer may enhance the productivity during turning. One of the parameters that significantly affect the cutting process is the shear angle. The determination of the shear angle is very important as it can be used for identifying the machining conditions. In this study, an external sensor-less monitoring system of the shear angle during turning is developed, and its performance is evaluated.

Original languageEnglish
Pages (from-to)669-674
Number of pages6
JournalInternational Journal of Automation Technology
Volume6
Issue number5
DOIs
Publication statusPublished - 2012 Sep

Keywords

  • Cutting force/torque
  • Disturbance observer
  • Monitoring
  • Shear angle
  • Turning

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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