Experimental investigation on identifying friction state in lubricated tribosystem based on friction-induced vibration signals

Xing, Pengfei; Li, Guobin; Gao, Hongtao; Wang, Guoyou

doi:10.1016/j.ymssp.2019.106590

Cited by 25 publications

(8 citation statements)

References 27 publications

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“…Besides, many studies have proved the effectiveness of friction vibration in characterizing the wear state of lubricated tribo-systems. 31,45 However, the driving mechanism and a clearer physical meaning still remain a research focus due to the complicated tribo-dynamical characteristics.…”

Section: Friction-induced Vibration Feature Extractionmentioning

confidence: 99%

“…In recently published research studies, friction-induced vibration has attracted increasing interest and is regarded as one of the most important tribological characteristics. 31 The generation mechanism and amplitude–frequency characteristics of friction-induced vibration, hence, have been much investigated. 32,33 Studies showed that friction-induced vibration mainly arises from the variation of the friction contact forces, which ultimately depends on the specific contact interface micro-features.…”

Section: Introductionmentioning

confidence: 99%

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Wear characterization under sliding–rolling contact using friction-induced vibration features

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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Skidding in rolling bearings often causes unexpected surface wear and early failures. Although vibration monitoring is widely used for bearing fault diagnosis, it is much less developed for wear analysis. This paper presents an investigation into characterizing the surface wear of a simplified sliding–rolling contact using friction-induced vibration features. The friction vibration mechanism under a rough sliding–rolling contact is explored by a mixed elastohydrodynamic lubrication model. It is found that the friction coefficient has a positive correlation with the surface roughness, which indicates that the friction behaviour can be used to track the wear state under the sliding–rolling contact. Furthermore, the vibration excited by different rough surfaces is studied experimentally on a roller–ring test rig. The friction-induced vibration signal is extracted and a feature parameter ( K) is defined for quantitative wear characterization. Results show that the friction-induced vibration can well reflect the surface wear under the sliding–rolling contact. Compared with traditional time-domain parameters, the proposed parameter has a better linear relationship with the surface roughness.

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Section: Friction-induced Vibration Feature Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wear characterization under sliding–rolling contact using friction-induced vibration features

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…As shown in the figure, the waveform variations of normal and tangential vibration signals are very disturbing. The vibration signals are drowned out by noise and cannot illustrate the running-in process of the frictional pair (Xing et al , 2020). The cross-correlation coefficients between normal and tangential vibration signals are 0.23, 0.21 and 0.24, respectively, indicating that the original signals have a small correlation at each time.…”

Section: Extraction Of Friction Vibrationmentioning

confidence: 99%

Reconstruction and information entropy analysis of frictional vibration signals in running-in progress

Wei

Zhou

et al. 2021

ILT

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Purpose This study aims to reconstruct the frictional vibration signal from noise and characterize the running-in process by frictional vibration. Design/methodology/approach There is a strong correlation between tangential frictional vibration and normal frictional vibration. On this basis, a new frictional vibration reconstruction method combining cross-correlation analysis with ensemble empirical mode decomposition (EEMD) was proposed. Moreover, the concept of information entropy of friction vibration is introduced to characterize the running-in process. Findings Compared with the wavelet packet method, the tangential friction vibration and the normal friction vibration reconstructed by the method presented in this paper have a stronger correlation. More importantly, during the running-in process, the information entropy of friction vibration gradually decreases until the equilibrium point is reached, which is the same as the changing trend of friction coefficient, indicating that the information entropy of friction vibration can be used to characterize the running-in process. Practical implications The study reveals that the application EEMD method is an appropriate approach to reconstruct frictional vibration and the information entropy of friction vibration represents the running-in process. Based on these results, a condition monitoring system can be established to automatically evaluate the running-in state of mechanical parts. Originality/value The EEMD method was applied to reconstruct the frictional vibration. Furthermore, the information entropy of friction vibration was used to analysis the running-in process.

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“…In recent years, the structural vibration characteristics under friction, including the transformation between dynamic and static frictions [17], system stability analysis [18,19], and energy harvesting under friction [20,21] have received attention from researchers. Studies have been conducted on vibration response [22][23][24] and energy harvesting from friction [25][26][27][28][29][30]. Li et al solved the final wear shape of elastic indenter by the dimension reduction method.…”

Section: Introductionmentioning

confidence: 99%

“…These two characteristics make the frictioninduced vibration model more realistic [23]. Xing et al used friction-induced vibration to identify the friction state in the lubrication friction system [24]. As long as the friction-induced vibration response can be obtained, the energy harvesting under dynamic loads/deformation can be realized.…”

Section: Introductionmentioning

confidence: 99%

Electrical Power Generation Using Dynamic Piezoelectric Shear Deformation Under Friction

Wang

Xiao

2021

Acta Mech. Solida Sin.

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A new electrical power generation device based on high-frequency dynamic piezoelectric shear deformation under friction is developed. During the operation of a moving plate compressed and sliding on the top of a piezoelectric patch with constant velocity, dynamic shear deformation of the elastic piezoelectric patch is excited by periodic friction force and status (sliding and stick) variation. The dynamic piezoelectric shear strain can then generate continuous electrical power for energy absorbing and harvesting applications. The design of the piezoelectric couple device is first provided, and its mechanism, dynamic response and electric power generation under friction are described by a detailed iteration model. By comparing with previous experimental results, the accuracy of the proposed model is proven. Through numerical studies, the influences of the equivalent mass of the system, the velocity of the sliding object, the static friction coefficient and its lower limit, as well as the friction force delay rate on the power generation are obtained and discussed. The numerical results show that with the proposed design, up to 50-Watt maximum electrical power could be generated by a piezoelectric patch with a dimension of $$20\times 2\times 6$$ 20 × 2 × 6 cm under continuous friction with the moving plate at the velocity of 15 m/s. The possible bi-linear elastic stiffness variation of the system is also introduced, and the threshold of bi-linear elastic deformation, where the system stiffness changes, can be optimized for obtaining the highest power generation.

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Experimental investigation on identifying friction state in lubricated tribosystem based on friction-induced vibration signals

Cited by 25 publications

References 27 publications

Wear characterization under sliding–rolling contact using friction-induced vibration features

Wear characterization under sliding–rolling contact using friction-induced vibration features

Reconstruction and information entropy analysis of frictional vibration signals in running-in progress

Electrical Power Generation Using Dynamic Piezoelectric Shear Deformation Under Friction

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