Abstract
This paper investigated the friction-induced vibration (FIV) behavior under the running-in process with oil lubrication. The FIV signal with periodic characteristics under lubrication was identified with the help of the squeal signal induced in an oil-free wear experiment and then extracted by the harmonic wavelet packet transform (HWPT). The variation of the FIV signal from running-in wear stage to steady wear stage was studied by its root mean square (RMS) values. The result indicates that the time-frequency characteristics of the FIV signals evolve with the wear process and can reflect the wear stages of the friction pairs. The RMS evolution of the FIV signal is in the same trend to the composite surface roughness and demonstrates that the friction pair goes through the running-in wear stage and the steady wear stage. Therefore, the FIV signal with periodic characteristics can describe the evolution of the running-in process and distinguish the running-in wear stage and the stable wear stage of the friction pair.
Highlights
In tribology, when friction pairs are brought together to slide relative with one another under a non-zero normal force, the initial wear process is referred to as running-in [1]
E running-in process of friction pair can be monitored through the tribological characteristics, such as surface morphology [5], wear rate [6], oil analysis [7], friction signal [8], and so on
Because the friction-induced vibration (FIV) signal contains lots of information on a friction-wear process and can be collected the FIV signal is suitable for monitoring the running-in process
Summary
In tribology, when friction pairs are brought together to slide relative with one another under a non-zero normal force, the initial wear process is referred to as running-in [1]. In the running-in process, the mating surfaces of the friction pair gradually become adequate fitting. Studies [2, 3] have proved that the running-in has an important influence on improving the performance and service life of the friction pair. Erefore, monitoring and identifying the running-in process of the friction pair are significant to improve the reliability and the economy of the equipment [4]. E running-in process of friction pair can be monitored through the tribological characteristics, such as surface morphology [5], wear rate [6], oil analysis [7], friction signal [8], and so on. It is challenging to directly obtain the surface morphology and wear rate of friction pairs in real time during the equipment operation. Because the FIV signal contains lots of information on a friction-wear process and can be collected the FIV signal is suitable for monitoring the running-in process
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