Using acoustic emission signal categorization for reconstruction of wear development timeline in tribosystems: Case studies and application examples

Растегаев, И. А.; Мерсон, Д. Л.; Myhre, Aleksander Omholt; Afanasyev, M. A.; Vinogradov, Alexei

doi:10.1016/j.wear.2018.06.006

Cited by 15 publications

(10 citation statements)

References 31 publications

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“…Researchers have applied acoustic emission techniques to detect wear [91][92][93][94][95][96]. Bhuiyan et al [97] used an acoustic emission technique to investigate the frequency of tool wear, and found that the frequency of tool wear is distributed between 67 kHz and 471 kHz.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

et al. 2018

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Pin connections are one of the most important connecting forms and they have been widely used in engineering fields. In its service, pin connections are subject to wear, and it will be beneficial if the health condition of pin connections can be monitored in real time. In this paper, an acoustic emission (AE)-based method was developed to monitor wear degree of low rotational speed pin connections in real time in a nondestructive way. Most pin connections are operated at low rotational speed. To facilitate the research, an experimental apparatus to accelerate the wear test of low rotational speed pin connections was designed and fabricated. The piezoceramic AE sensor was mounted on the test apparatus in a nondestructive way, and it was capable of real-time monitoring. Accelerated wear tests of low rotational speed pin connections were conducted. To verify the results of the AE technique, a VHX-600E digital (from Keyence, Osaka, Japan) microscope was applied to observe the micrographs of the tested pins. The experimental results show that AE activity existed throughout the entire wear process, and it was the most prominent in the serious wear phase. The wear degree of the pin connections can be reflected qualitatively by the signal strength and the accumulative signal strength of the AE signals. In addition, two different wear forms can be distinguished by comparing the signal strength values of all specimens. Micrographs of all specimens confirm these results, and determine that the two wear forms include adhesive wear and abrasive wear. Furthermore, AE results demonstrated that adhesive wear is the main mode of wear for the low rotational speed pin connections, and the signal strength of the adhesive wear is around 190 times larger than that of abrasive wear. This feasibility study demonstrated that the developed acoustic emission technique can be utilized in the wear monitoring of pin connections in real time in a nondestructive way.

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Section: Introductionmentioning

confidence: 99%

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

et al. 2018

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“…When the statistically defined AE clusters are attributed to various wear mechanisms (Section 4) and the critical friction and wear conditions are determined along with the corresponding AE features, a time-chart reflecting their appearance can be created for an evocative presentation of degradation mechanisms convenient for on-line monitoring and diagnostics. The proposed in [71] presentation of the damage history using the chronological charts with the color-coded prevailing damage mechanisms according to the classified AE features (shown, for example, as the bottom lines in Figure 4) can replace the cumbersome AE graphs, which often contain multiple AE parameters and which are hard to read. While this way of data representation does not compromise the significance of information for practitioners, it offers an appealing opportunity to observe and analyze the chronology of degradation of lubricant and/or contacting materials with a high degree of confidence [71], and, therefore, to undertake appropriate countermeasures for failure prevention and management.…”

Section: Recovery Of the Friction Unit Fracture Process Chronologymentioning

confidence: 99%

“…When the statistically defined A and the critical friction and wear features, a time-chart reflecting the degradation mechanisms convenien presentation of the damage history damage mechanisms according to th in Figure 4) can replace the cumber and which are hard to read. Whi significance of information for pra analyze the chronology of degradati confidence [71], and, therefore, to un management.…”

Section: Recovery Of the Friction Unit Fractmentioning

confidence: 99%

A Time-Frequency Based Approach for Acoustic Emission Assessment of Sliding Wear

et al. 2020

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The acoustic emission method is one of few contemporary non-destructive testing techniques enabling continuous on-line health monitoring and control of tribological systems. However, the existence of multiple “pseudo”-acoustic emission (AE) and noise sources during friction, and their random occurrence poses serious challenges for researchers and practitioners when extracting “useful” information from the upcoming AE signal. These challenges and numerous uncertainties in signal classification prevent the unequivocal interpretation of results and hinder wider uptake of the AE technique despite its apparent advantages. Currently, the signal recording and processing technologies are booming, and new applications are born on this support. Specific tribology applications, therefore, call for developing new and tuning existing approaches to the online AE monitoring and analysis. In the present work, we critically analyze, compare and summarize the results of the application of several filtering techniques and AE signal classifiers in model tribological sliding friction systems allowing for the simulation of predominant wear mechanisms. Several effective schemes of AE data processing were identified through extensive comparative studies. Guidelines were provided for practical application, including the online monitoring and control of the systems with friction, characterizing the severity and timing of damage, on-line evaluation of wear as sliding contact tests and instrumented acceleration of tribological testing and cost reduction.

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“…Machine failures typically occur at the interfaces between sliding components [1] and there is an increasing need to be able to monitor these in order to reduce costly downtime and needless maintenance [2]. This is particularly the case in vehicles due to extended service intervals and oil-for-life being implemented in hybrids.…”

Section: Introductionmentioning

confidence: 99%

Using acoustic emission to characterize friction and wear in dry sliding steel contacts

Geng

Puhan

Reddyhoff

2019

Tribology International

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Acoustic emission (AE) was recorded during tribological tests on 52100 steel specimens under different loads. AE signals were transformed to the frequency domain using a Fast Fourier Transform and parameters such as power, RMS amplitude, mean frequency, and energy were analyzed and compared with friction coefficient and wear volume measurements. Results show that certain acoustic frequencies reflect friction while others reflect wear. If frequencies are chosen optimally, AE and friction signals are highly correlated (Pearson coefficients >0.8). SEM and Raman analysis reveal how plastic deformation and oxide formation affect friction, wear and AE simultaneously. AE recordings contains more information than conventional friction and wear volume measurements and are more sensitive to changes in wear mechanism. This all demonstrates AE's potential as a tool to monitor tribological behavior.waveform can correlate with the quantity of wear particles, as does the AE energy [14]. Moreover, the amplitude and length of a train of AE waves can be associated with individual slip events during the stick-slip [15]. In addition to this, the AE event location can determin mode I crack propagation in fretting fatigue [16]. The instantaneous RMS amplitude has been found to correlate with CoF [17][18][19], distinguish between different stages in CoF evolution [20] and even predict CoF based on a power law relation [18]. AE RMS can also be sensitive to applied load, velocity and mechanical properties of sliding components [20]. The integrated AE RMS can be related to frictional work and wear under different sliding speeds [18] and loads [21] and can detect the sliding speed threshold for accelerated wear [18]. The integrated AE RMS [22,23] may also have a direct correlation with the wear volume and wear rate [24].In the frequency domain, AE parameters such as energy and median frequency (MDF) can be used, with the former being correlated to CoF [25,26] and wear volume [27] and the latter being correlated to CoF [26,28] and frictional work [29]. The amplitude of individual AE frequency components can also be excited by specific wear mechanisms, which can be determined based on power spectral density (PSD) and auto-covariance techniques [30]. In addition to this, it has been found that low and high frequencies are associated with different lubricant conditions [28]. Peak frequencies can vary depending on wear mechanism, with adhesive wear emission suggested to occur around 1.1 MHz and abrasive wear between 0.25-1 MHz [31,32], while stick slip results in dominant AE frequencies around 10 kHz [20].Time-frequency analysis can also be applied to AE signals, with evolving PSD spectra indicating different stages wear [19] and wavelet analysis detecting the onset of scuffing [33,34] and other wear states [35] [36].Reviewing this literature it is apparent that the instantaneous RMS value of the acquired AE signal has been the most widely used parameter to correlate with friction and wear [17-19, 22, 23, 37, 38]. However, recently questions h...

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Using acoustic emission signal categorization for reconstruction of wear development timeline in tribosystems: Case studies and application examples

Cited by 15 publications

References 31 publications

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

A Time-Frequency Based Approach for Acoustic Emission Assessment of Sliding Wear

Using acoustic emission to characterize friction and wear in dry sliding steel contacts

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