Research on the Characteristics of Piston Ring-liner Friction Lubrication Based on Acoustic Emission

doi:10.3901/JME.2021.08.107

Abstract

Abstract: The acoustic emission (AE) signal generated from the friction and lubrication process of the piston ring-cylinder liner system is an unsteady weak signal submerged under strong background noise, and it is difficult to extract and analyze this signal features. In order to effectively suppress strong noise, an adaptive threshold wavelet packet denoising algorithm based on signal physical characteristics is proposed. The optimal feature extraction frequency band of the frictional AE signal is determined according to the wavelet packet time-frequency analysis, and an adaptive wavelet packet threshold function is constructed based on the piston velocity profile curve to extract the AE signals characterising friction and lubrication effectively. The algorithm is used to analyse the AE signal measured in the engine combustion test. Three different lubricants (10W30, 15W40 and used engine oil) were compared to verify the effectiveness of this algorithm. The results show that this algorithm can effectively suppress the large noise generated from valve switching, combustion and fuel injection. The AE indicator increase with the oil viscosity, and the AE indicator of used oil containing particulates increases with the speed significantly. It provides a feasible method for online monitoring and diagnosing the health status of the piston ring-liner system, and also to evaluate the quality of lubricating oil.

Key words: acoustic emission, wavelet packet, piston ring-cylinder liner system, adaptive threshold

CLC Number:

TG156

WEI Nasha, YAN Xianguo, GU Fengshou, CHEN Zhi. Research on the Characteristics of Piston Ring-liner Friction Lubrication Based on Acoustic Emission[J]. Journal of Mechanical Engineering, 2021, 57(8): 107-114.

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