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.
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Pengyi TIAN. She received her Bachelor degree in Mechanical Engineering in 2011 from Shandong University, Weihai, China. Now she is a PhD candidate in the State Key Laboratory of Tribology at Tsinghua University. Her research is focused on the multi-physics during friction and stick-slip process.
Yu TIAN. He is Professor and Vice Director of the State Key Laboratory of Tribology at Tsinghua University of China. Tian gained his BA and PhD degrees in Mechanical Engineering at Tsinghua University in 1998 and 2002, respectively. Subsequently he joined the State Key Laboratory of Tribology. He did his postdoc at University of California, Santa Barbara with Professor Jacob Israelachvili (from 2005 to 2007), and a visiting associate professor at Nanyang Technology University for five months. His research interest is the science and technology at the interface of physics, materials, engineering and biology to understand the physical laws of adhesion, friction and rheology. He has published over 90 peer-reviewed journal papers. He has received the Wen Shizhu-Maple Award-Young Scholar Award (2012), the Young Scholar Achievement Award of the Society of Mechanical Engineering of China (2011), Outstanding Young Scholar Award of the Chinese Tribology Institute (2009), and the National Excellent Doctoral Dissertation of China (2004).
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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 3, 36–46 (2015). https://doi.org/10.1007/s40544-014-0067-x
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DOI: https://doi.org/10.1007/s40544-014-0067-x