Condition monitoring for indexable carbide end mill using acceleration data

Justin L. Milner, John T. Roth

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In order to automate machining operations, it is necessary to develop robust tool condition monitoring techniques. In this paper, a tool monitoring strategy for indexable tungsten carbide end milling tools is presented based on the Fourier transform and statistical analysis of the vibrations of the tool during the machining operations. Using a low-cost, tri-axial piezoelectric accelerometer, the presented algorithm demonstrates the ability to accurately monitor the condition of the tools as the wear increases during linear milling operations. One benefit of using accelerometer signals to monitor the cutting process is that the sensor does not limit the machine's capabilities, as a workpiece mounted dynamometer does. To demonstrate capabilities of the technique, four tool wear life tests were conducted under various conditions. The indirect method discussed herein successfully tracks the tool's wear and is shown to be sensitive enough to provide sufficient time to replace the insert prior to damage of the machine tool, cutter, and/or workpiece.

Original languageEnglish (US)
Pages (from-to)63-80
Number of pages18
JournalMachining Science and Technology
Volume14
Issue number1
DOIs
StatePublished - Jan 1 2010

Fingerprint

Condition monitoring
Carbides
Wear of materials
Accelerometers
Machining
Tungsten carbide
Dynamometers
Machine tools
Statistical methods
Fourier transforms
Monitoring
Sensors
Costs

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

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Condition monitoring for indexable carbide end mill using acceleration data. / Milner, Justin L.; Roth, John T.

In: Machining Science and Technology, Vol. 14, No. 1, 01.01.2010, p. 63-80.

Research output: Contribution to journalArticle

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