Investigation of the feasibility of using microphone arrays in monitoring machining conditions

Derek Shaffer, Ihab Ragai, Amir Danesh-Yazdi, David Loker

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Acoustic Signals (AS) have been investigated as a way to monitor machines. In this work, close attention was paid to the size as well as the accuracy of the data for using a 32-element spherical microphone array to monitor end milling operations. By completing experiments varying standard milling parameters, mathematical models showing the change in AS for end milling with a single carbide cutting edge were determined statistically. It was found that this method of shop floor monitoring is useful and could be the future of real-time monitoring when implemented based on the findings regarding accuracy and size of the collected data.

Original languageEnglish (US)
Pages (from-to)132-134
Number of pages3
JournalManufacturing Letters
Volume15
DOIs
StatePublished - Jan 2018

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Mechanics of Materials

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