Dissipation of Vibration in Rough Contact

Bot, Alain Le; Bou-Chakra, E.; Michon, Guilhem

doi:10.1007/s11249-010-9683-4

Cited by 14 publications

(2 citation statements)

References 31 publications

(27 reference statements)

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“…For instance, when rubbing two metallic samples with rough surfaces [42,43] a noise is generated at the interface of samples. The basic phenomenon is that many light impacts occur between antagonist asperities and these impacts are responsible of the vibration in the samples which, in turn, radiate the sound.…”

Section: Meaning Of Entropy In Statistical Vibroacousticsmentioning

confidence: 99%

Statistical Vibroacoustics and Entropy Concept

Bot

Carcaterra

Mazuyer

2010

Entropy

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Statistical vibroacoustics, also called statistical energy analysis (SEA) in the field of engineering, is born from the application of statistical physics concepts to the study of random vibration in mechanical and acoustical systems. This article is a discussion on the thermodynamic foundation for that approach with particular emphasis devoted to the meaning of entropy, a concept missing in SEA. The theory focuses on vibration confined to the audio frequency range. In this frequency band, heat is defined as random vibration that is disordered vibration and temperature is the vibration energy per mode. Always in this frequency band, the concept of entropy is introduced and its meaning and role in vibroacoustics are enlightened, together with the related evolutionary equation. It is shown that statistical vibroacoustics is non-equilibrium thermodynamics applied to the audio range.

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Section: Meaning Of Entropy In Statistical Vibroacousticsmentioning

confidence: 99%

Statistical Vibroacoustics and Entropy Concept

Bot

Carcaterra

Mazuyer

2010

Entropy

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“…This frictional contact generates vibration and noise as well as heat, causing overload throughout the production process and eventually producing defective outputs or failures. The friction and wear of various materials on the profiles of surfaces have been conducted after considering the friction coefficient [1][2][3][4]. Ren et al [4] studied friction behavior between the wafer and transfer film attached to each other.…”

Section: Introductionmentioning

confidence: 99%

The Feature Extraction through Wavelet Coefficients of Metal Friction Noise for Adhesive and Abrasive Wear Monitoring

et al. 2021

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Friction between metals is a physical phenomenon that occurs in manufacturing machine tools. This annoying noise implies unnecessary metal contact and deterioration of a mechanical system. In this study, for the monitoring of the friction between two metal surfaces, the acoustic signature was extracted by applying the wavelet transform method to the noise measured from the change in contact force for each state of adhesive and abrasive wear. Experiments were conducted with a constant relative speed between the contacting metal surfaces. For the adhesive wear, the peak signal-to-noise ratio (PSNR) calculated by the wavelet transformation increases with the increasing contact pressure. Opposite trends were observed for the abrasive wear. The proposed index formed a group within a specific range. This ratio exhibited a strong relationship with the wear characteristics and the surface condition. From the proposed index calculated by the wavelet coefficients, the continuous monitoring of the wear influence on the failure of the machine movement operations is achieved by the sound radiation from the contacting surfaces.

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Direct numerical simulation of the dynamics of sliding rough surfaces

et al. 2013

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The noise generated by the friction of two rough surfaces under weak contact pressure is usually called roughness noise. The underlying vibration which produces the noise stems from numerous instantaneous shocks (in the microsecond range) between surface micro-asperities. The numerical simulation of this problem using classical mechanics requires a fine discretization in both space and time. This is why the finite element method takes much CPU time. In this study, we propose an alternative numerical approach which is based on a truncated modal decomposition of the vibration, a central difference integration scheme and two algorithms for contact: The penalty algorithm and the Lagrange multiplier algorithm. Not only does it reproduce the empirical laws of vibration level versus roughness and sliding speed found experimentally but it also provides the statistical properties of local events which are not accessible by experiment. The CPU time reduction is typically a factor of 10.

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Dissipation of Vibration in Rough Contact

Cited by 14 publications

References 31 publications

Statistical Vibroacoustics and Entropy Concept

Statistical Vibroacoustics and Entropy Concept

The Feature Extraction through Wavelet Coefficients of Metal Friction Noise for Adhesive and Abrasive Wear Monitoring

Direct numerical simulation of the dynamics of sliding rough surfaces

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