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Research Article | Open Access

A correlation analysis method for analyzing tribological states using acoustic emission, frictional coefficient, and contact resistance signals

Pengyi TIAN, Yu TIAN( ), Lei SHAN, Yonggang MENG, Xiangjun ZHANG
State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
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Abstract

A multi-physical signal correlation analysis method is proposed to identify the different tribological properties of materials. The acoustic emission (AE), contact resistance, and frictional force behaviors during dry sliding between four metals, 45# carbon steel, YG12 carbide, 2A12 aluminum alloy, and H62 brass, have been studied. Both positive and negative correlations between the root mean square of the amplified AE (AE RMS) signal and the frictional coefficient have been found in the experiments. In addition, the AE RMS signal and the contact resistance changed with changing sliding speed and normal load in different ways. The different correlation behaviors have been attributed to diverse tribological states under different experimental conditions due to different material characteristics. The correlation analysis provides a new method of quantitatively identifying the tribological states and the AE sources during frictional interaction. The observed anomalous correlations between the AE signal and frictional coefficient should be properly considered according to the different material properties during industrial friction condition monitoring using AE technology.

Keywords

acoustic emission; correlation analysis; dry friction; contact resistance

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Friction
Volume 3 Issue 1,
March 2015
Pages 36-46
DOI: 10.1007/s40544-014-0067-x
Cite this article:
TIAN P, TIAN Y, SHAN L, et al. A correlation analysis method for analyzing tribological states using acoustic emission, frictional coefficient, and contact resistance signals. Friction, 2015, 3(1): 36-46. https://doi.org/10.1007/s40544-014-0067-x

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Received: 24 April 2014
Revised: 30 June 2014
Accepted: 27 September 2014
Published: 03 November 2014
© The author(s) 2014

This article is published with open access at Springerlink.com

Open Access: This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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