Stick-Slip Phenomena and Acoustic Emission in the Hertzian Linear Contact

Babici, Laura Mariana; Tudor, Anca; Garbí, Jordi Romeu

doi:10.3390/app12199527

Cited by 10 publications

(7 citation statements)

References 51 publications

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“…Therefore, the COF can be considered constant in the quasi-static test compared to the dynamic test. Since the frequency and amplitude of the AE signal are sensitive to the change in COF [25] , a comprehensive analysis of Fig. 6(a), Fig.…”

Section: Identi Cation Of Contact Wear Signalsmentioning

confidence: 99%

Test and Identification Analysis of Wear Response Signal of Contact Interface of Rotary Seal

Lu,

Zheng,

Zhang

et al. 2024

Preprint

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The wear state of mechanical seal friction pair directly determines the reliability of mechanical seal. In this paper, the mapping mechanism between contact wear response and acoustic emission (AE) energy signal of friction pair is indicatively proposed, and the relationship between wear frequency and time-averaged wear is explored. First of all, AE sensors are arranged on the mechanical seal friction test-bed, static and dynamic friction tests are carried out on the contact form of M106K-WC (graphite-cemented carbide) and WC-WC, the AE energy signal data are collected, and the wear amount of the two groups of friction pairs is measured; then, the friction and wear signals are separated and reprocessed by time-frequency analysis. The results show that the static wear response frequency (SWRF) of M106K -WC is about 70 ± 10 kHz, the SWRF of WC-WC is about 90 ± 10 kHz, and the dynamic wear response frequency (DWRF) of WC-WC is about 175 ± 10 kHz;. At the same time, the root mean square of DWRF is positively correlated with the wear amount. According to the research results, it is inferred that there is a difference between the quasi-static wear frequency and the dynamic wear frequency of the friction pair, there is a great correlation between the dynamic wear frequency and the material pair, and the working condition has little influence on the wear frequency. the mapping relationship between AE signal and time-averaged wear of friction pair is revealed.

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Section: Identi Cation Of Contact Wear Signalsmentioning

confidence: 99%

Test and Identification Analysis of Wear Response Signal of Contact Interface of Rotary Seal

Lu,

Zheng,

Zhang

et al. 2024

Preprint

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“…The highest points shown in Figure 5 indicate the maximum static friction coefficient (µs), and the lowest points indicate the kinetic coefficient (µk) for the duration. The stick-slip phenomenon was analyzed for each sample, and the amplitude of the stick-slip (Table 4) was calculated using Equation (4) [28] (µ − µ ) The variation in the COF was due to the composition of the coating and also the sliding speed of the steel ball. It was reported earlier that when a polymer slides on steel, there is a high chance of the stick-slip phenomenon [52].…”

Section: Measuring Coefficient Of Friction and Stick-slip Using A Rec...mentioning

confidence: 99%

“…Many studies have previously used acoustic signals to monitor the wear of grinding wheels [23][24][25][26], ball-on-flat sliding contact [27], stick-slip [28], bearings [29], gearboxes [30], mill-grinding tools [31], and tools [32]. AE data extraction methods include fast Fourier transforms (FFT) [24], short-time Fourier transforms (STFT) [25], wavelet transform (WT) [26], amplitude [28], AE count [33], spectral kurtosis [29], and root mean square (RMS) [34], which are used to correlate tribological parameters with acoustic signals. RMS is the most often used AE parameter to correlate wear and friction with the acoustic signal [35,36].…”

Section: Introductionmentioning

confidence: 99%

Mapping Acoustic Frictional Properties of Self-Lubricating Epoxy-Coated Bearing Steel with Acoustic Emissions during Friction Test

Krishnamoorthy,

Anitha John,

Bhaumik

et al. 2024

Technologies

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This work investigates the stick–slip phenomenon during sliding motion between solid lubricant-impregnated epoxy polymer-coated steel bars and AISI 52,100 steel balls. An acoustic sensor detected the stick–slip phenomenon during the tribo-pair interaction. The wear characteristics of the workpiece coated with different epoxy coatings were observed and scrutinized. The RMS values of the acoustic sensor were correlated with the frictional coefficient to develop a standard based on the acoustic sensor, leading to the detection of the stick–slip phenomenon. As per the findings, the acoustic waveform remained relatively similar to the friction coefficient observed during the study and can be used effectively in detecting the stick–slip phenomenon between steel and polymer interaction. This work will be highly beneficial in industrial and automotive applications with a significant interaction of polymer and steel surfaces.

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“…Baccar, et al [22] investigated the sliding of martensitic steel surfaces using the Short-Time Fourier Transform (STFT) and the Continuous Wavelet Transform (CWT), and were able to detect and quantify the state of damage resulting from fatigue. Other authors have conducted studies focused on the stick-slip phenomenon [23,24].…”

Section: Introductionmentioning

confidence: 99%

Experimental analysis of acoustic emissions in rolling and sliding friction: implications to gear transmissions

Weiffenbach,

Romero

2024

Preprint

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Acoustic emissions (AE) are elastic waves produced in solids due to crack propagation, dislocations, impacts, friction and others. Its potential for condition monitoring has been studied for several years. For gear transmissions, some studies have highlighted AE's advantages over other techniques. However, the application of AE in gear transmissions still requires a comprehensive understanding and modeling of the generation mechanisms. The primary source of AE in gear transmissions is asperity contacts, making it essential to understand AE behavior under rolling and sliding friction, both contact types in gear transmissions. Our study presents simplified experiments designed to independently characterize the AE produced by a cylinder moving on a plane under rolling and sliding conditions. Additionally, we have compared our experimental findings with a theoretical model from the literature. We tested the influence of translational speed and normal force on rolling and sliding. For sliding, we observed a positive correlation between the RMS value and the translational speed. However, the normal force did not show a significant effect, which diverges from the theoretical model. For rolling, neither translational speed nor normal force demonstrated significant effects. Regarding signal characteristics, sliding friction is characterized by a continuous AE, while rolling friction primarily exhibits stochastic AE bursts. The frequencies excited for both cases suggest that abrasive wear is predominant. Although prior research has highlighted the impact of speed and load on AE from gears, our study offers new insights into how these conditions independently influence the AE produced by rolling and sliding friction.

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Stick-Slip Phenomena and Acoustic Emission in the Hertzian Linear Contact

Cited by 10 publications

References 51 publications

Test and Identification Analysis of Wear Response Signal of Contact Interface of Rotary Seal

Test and Identification Analysis of Wear Response Signal of Contact Interface of Rotary Seal

Mapping Acoustic Frictional Properties of Self-Lubricating Epoxy-Coated Bearing Steel with Acoustic Emissions during Friction Test

Experimental analysis of acoustic emissions in rolling and sliding friction: implications to gear transmissions

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