Drill fracture detection by integrating disturbance observer and rotational digital filter

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Tool fracture detection is important to avoid tool breakage and ensure cutting accuracy. However, conventional tool condition monitoring methods use additional sensors that are expensive, increase the failure rate, and reduce the machine-tool stiffness. This study proposes a novel in-process method to detect tool fracture based on disturbance observer theory. It uses only servo information in a ballscrew-driven stage control system. Furthermore, a rotational digital filter is developed and applied to drilling tests to enhance the detection accuracy. Tool fracture is successfully detected without any external sensors by the proposed method.

Original languageEnglish
Pages (from-to)177-184
Number of pages8
JournalCIRP Journal of Manufacturing Science and Technology
Volume7
Issue number3
DOIs
Publication statusPublished - 2014

Fingerprint

Digital filters
Sensors
Condition monitoring
Machine tools
Drilling
Stiffness
Control systems

Keywords

  • Digital filter
  • Disturbance observer
  • Drilling
  • Monitoring
  • Tool fracture

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

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abstract = "Tool fracture detection is important to avoid tool breakage and ensure cutting accuracy. However, conventional tool condition monitoring methods use additional sensors that are expensive, increase the failure rate, and reduce the machine-tool stiffness. This study proposes a novel in-process method to detect tool fracture based on disturbance observer theory. It uses only servo information in a ballscrew-driven stage control system. Furthermore, a rotational digital filter is developed and applied to drilling tests to enhance the detection accuracy. Tool fracture is successfully detected without any external sensors by the proposed method.",
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AB - Tool fracture detection is important to avoid tool breakage and ensure cutting accuracy. However, conventional tool condition monitoring methods use additional sensors that are expensive, increase the failure rate, and reduce the machine-tool stiffness. This study proposes a novel in-process method to detect tool fracture based on disturbance observer theory. It uses only servo information in a ballscrew-driven stage control system. Furthermore, a rotational digital filter is developed and applied to drilling tests to enhance the detection accuracy. Tool fracture is successfully detected without any external sensors by the proposed method.

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KW - Monitoring

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