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J. Manuf. Mater. Process. 2017, 1(1), 7; doi:10.3390/jmmp1010007

Understanding Acoustic Emission for Different Metal Cutting Machinery and Operations

1
Department of Mechanical Engineering, The Pennsylvania State University, The Behrend College, Erie, PA 16563, USA
2
Department of Electrical and Computer Engineering Technology, The Pennsylvania State University, The Behrend College, Erie, PA 16563, USA
*
Author to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 10 August 2017 / Accepted: 24 August 2017 / Published: 28 August 2017
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Abstract

Machining is one of the major manufacturing techniques where the material is removed to prepare the complete or sub-part. In general, this is also referred to as subtractive manufacturing. Due to solid-to-solid contact between the cutting tool and the work-piece, the machine dynamics get influenced by various operating parameters. This generates force and vibration, and thus noise. Over time the cutting tool reaches its end-of-life which increases the force to cut, and thus produces more vibration and noise. The noise parameter was considered in this work. A 32-element spherical microphone array acoustic camera system was used to record and analyze the sound that was emitted during the machining processes. The startup, idle, and load operating characteristics for various industrial machining equipment were monitored with the acoustic beam former microphone system. The industrial applications included a bench grinder, surface grinder, vertical band saw, lathe machine, and vertical milling machine. Analysis of the acoustic noise generated from these processes could demonstrate the similarities between the cyclical patterns of resonating sound. View Full-Text
Keywords: acoustics signals; beam former; noise image; machining; grinding; milling acoustics signals; beam former; noise image; machining; grinding; milling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Nikhare, C.P.; Conklin, C.; Loker, D.R. Understanding Acoustic Emission for Different Metal Cutting Machinery and Operations. J. Manuf. Mater. Process. 2017, 1, 7.

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