TY - JOUR
T1 - Modelling Acoustic Emissions induced by dynamic fluid-asperity shearing in hydrodynamic lubrication regime
AU - Ma, Jiaojiao
AU - Zhang, Hao
AU - Shi, Zhanqun
AU - Chu, Fulei
AU - Gu, Fengshou
AU - Ball, Andrew D.
N1 - Funding Information:
This research is supported by the National Natural Science Foundation of China (Grant no. 51705127 , 51875166 ), Hebei Provincial International Science and Technology Cooperation Program of China (Grant no. 17394303D ), Joint Doctoral Training Foundation of HEBUT (Grant no. 2018HW0005 ) and the Tribology Science Fund of the State Key Laboratory of Tribology (Grant no. SKLTKF18A05 ).
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - This paper investigates the mechanism and characteristics of Acoustic Emission (AE) generated from the dynamic Fluid-Asperities Shearing (FAS) in the hydrodynamic lubrication (HL) regime. Firstly, a FAS model is derived to take into account the dynamic effect of surface asperities. Then, the influence of surface profiles, lubricants and operating conditions are illustrated on AE characteristics, i.e. magnitudes and frequency bandwidths. It has been found that the correlation length of surface roughness parameters and shear rate are two main factors affecting FAS behaviours and consequently AE characteristics. Finally, the corresponding experiments are carried out based on a rheometer rig, which validate the predictability of the model and new findings, paving the foundation for developing AE based monitoring techniques.
AB - This paper investigates the mechanism and characteristics of Acoustic Emission (AE) generated from the dynamic Fluid-Asperities Shearing (FAS) in the hydrodynamic lubrication (HL) regime. Firstly, a FAS model is derived to take into account the dynamic effect of surface asperities. Then, the influence of surface profiles, lubricants and operating conditions are illustrated on AE characteristics, i.e. magnitudes and frequency bandwidths. It has been found that the correlation length of surface roughness parameters and shear rate are two main factors affecting FAS behaviours and consequently AE characteristics. Finally, the corresponding experiments are carried out based on a rheometer rig, which validate the predictability of the model and new findings, paving the foundation for developing AE based monitoring techniques.
KW - Acoustic emission
KW - Dynamic fluid-asperity shearing
KW - Hydrodynamic lubrication
KW - Surface roughness parameters
UR - http://www.scopus.com/inward/record.url?scp=85089379923&partnerID=8YFLogxK
U2 - 10.1016/j.triboint.2020.106590
DO - 10.1016/j.triboint.2020.106590
M3 - Article
AN - SCOPUS:85089379923
VL - 153
JO - Tribology International
JF - Tribology International
SN - 0301-679X
M1 - 106590
ER -
