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

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

doi:10.1016/j.mfglet.2017.12.008

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

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

School of Engineering (Behrend)

Research output: Contribution to journal › Article › peer-review

17 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 language	English (US)
Pages (from-to)	132-134
Number of pages	3
Journal	Manufacturing Letters
Volume	15
DOIs	https://doi.org/10.1016/j.mfglet.2017.12.008
State	Published - Jan 2018

All Science Journal Classification (ASJC) codes

Mechanics of Materials
Industrial and Manufacturing Engineering

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10.1016/j.mfglet.2017.12.008

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title = "Investigation of the feasibility of using microphone arrays in monitoring machining conditions",

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.",

author = "Derek Shaffer and Ihab Ragai and Amir Danesh-Yazdi and David Loker",

note = "Publisher Copyright: {\textcopyright} 2017 Society of Manufacturing Engineers (SME)",

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AU - Ragai, Ihab

AU - Danesh-Yazdi, Amir

AU - Loker, David

PY - 2018/1

Y1 - 2018/1

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AB - 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.

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JO - Manufacturing Letters

JF - Manufacturing Letters

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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