Chaotic characteristics and attractor evolution of friction noise during friction process

Ding, Cong; Zhu, Hua; Sun, Guodong; Zhou, Yuankai; Zuo, Xue

doi:10.1007/s40544-017-0161-y

Cited by 36 publications

(13 citation statements)

References 20 publications

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“…The development of the running-in attractor is typically characterized by the phase trajectory variation of a friction signal. Previous studies have found that the running-in attractor follows the evolution rule of "formation, stabilization and disappearance" (Ding et al, 2017;Zhou et al, 2016).…”

Section: Introductionmentioning

confidence: 93%

Investigation on spatial distribution and evolution features of the running-in attractor based on a new approach

Ding

Zhu

Sun

et al. 2018

ILT

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Purpose The purpose of this work is to comprehensively reveal the spatial distribution and evolution features of a running-in attractor. Design/methodology/approach The friction coefficient signals extracted from wear experiments are reconstructed. A projected matrix is obtained based on the reconstructed matrix. Then the approach of three-dimensional (3D) histogram of phase points is proposed, which is used to intuitively characterize the complex properties of the running-in attractor. Findings The space occupied by the running-in attractor gradually contracts, then stabilizes and finally expands; the maximum of phase points number in a certain bin initially decreases, then keeps stable and finally increases rapidly; yet the percentage of bins number storing phase points shows an inverse variation tendency. Consequently, 3D histogram evolves from a nonuniform state to a uniform state then returns back to the nonuniform state, which indicates the evolution rule of “formation, stabilization and disappearance” of the running-in attractor. Originality/value Characterization on the features of the running-in attractor can provide valuable information about friction systems and their dynamic behaviors.

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Section: Introductionmentioning

confidence: 93%

Investigation on spatial distribution and evolution features of the running-in attractor based on a new approach

Ding

Zhu

Sun

et al. 2018

ILT

Self Cite

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“…19 Based on the chaotic theory, the chaotic attractors were extracted from the friction-induced vibration signal to describe the running-in, normal, and severe wear stages during point-to-surface reciprocating sliding. 20,21 In recent years, integrated neural networks were also used to establish the mapping between the surface wear and vibration signal characteristics. 22 However, due to the strong randomness and uncertainty of surface damages, it is usually difficult to guarantee the repeatability of experimental results.…”

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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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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“…Scholars have conducted extensive studies on monitoring the running-in process by the aperiodic FIV signal. For example, Ding et al [17] found that the friction noise attractor is chaotic, and the attractor evolution of friction noise can help identify the wear process. Zhou et al [18] studied the correlation between the aperiodic FIV and friction coefficient under different friction states by cross recurrence plot.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on the Friction-Induced Vibration with Periodic Characteristics in a Running-In Process under Lubrication

Sun

Xing

et al. 2021

Shock and Vibration

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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.

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Chaotic characteristics and attractor evolution of friction noise during friction process

Cited by 36 publications

References 20 publications

Investigation on spatial distribution and evolution features of the running-in attractor based on a new approach

Investigation on spatial distribution and evolution features of the running-in attractor based on a new approach

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

Experimental Investigation on the Friction-Induced Vibration with Periodic Characteristics in a Running-In Process under Lubrication

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