Acoustic spectrometry as used for the evaluation of tribological systems

Белый, В. А.; Kholodilov, O. V.; Sviridyonok, A.I.

doi:10.1016/0043-1648(81)90321-5

Cited by 38 publications

(13 citation statements)

References 4 publications

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“…The features of oscillation signals during conventional metalworking are relatively well-known [152, 153, 154, 155]. The recent studies completed this knowledge with the data concerning the control of electric discharge based on electromagnetic and vibro-acoustic emissions [156, 157, 158, 159, 160].…”

Section: Resultsmentioning

confidence: 99%

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Grigoriev

Kozochkin

Porvatov

et al. 2019

Heliyon

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The productivity of electrical discharge machining (EDM) is relatively low owing to the natural laws of electrical erosion. Precise EDM demands uninterrupted control of the discharge gap and adjustment of process parameters. It is particularly critical for processing large workpieces with complex linear surfaces and for materials with threshold conductivities such as the new advanced ceramic nanocomposites Al2O3+TiC and Al2O3+SiCw+TiC(30–40%). In these cases, adequate flushing of erosion products is hampered by the geometry of the working space or by the small value of the required discharge gap, which does not exceed 2.2–2.5 μm. The methods of adaptive control in modern computer numerical control systems of EDM equipment based on measuring the electrical parameters in the working zone have been shown to be ineffective in the cases described above. This study aims to investigate the natural phenomena of material sublimation under discharge pulses for conductive ceramics and nanocomposites. The measured conductivities of the samples are higher than the percolation threshold. However, the question of machinability remains open owing to detected processing interruptions and poor quality of machined surfaces. New knowledge on EDM of conductive ceramics and nanocomposites can improve the final quality of the machined surfaces and productivity of the method by the introduction of advanced monitoring and control methods based on acoustic emissions. The manuscript presents an up-to-date overview and current state of the research on the subject area. The obtained morphology of the samples and discussion of the findings complete the experimental part of the study. The scientific basis for a new type of adaptive control system is provided. This can improve the effectiveness of parameter control for machining conductive ceramics and nanocomposites and contribute to an increase in the EDM performance for the most critical cases.

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Section: Resultsmentioning

confidence: 99%

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Grigoriev

Kozochkin

Porvatov

et al. 2019

Heliyon

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“…The effectiveness of AE in recognizing and quantifying transient phenomena (e.g., the detection of failure of a lubricant [6], the prediction of seizure [7], and the detection of cracks in bearings [8]) has already been identified. Also, several investigations have demonstrated a correlation between AE signals and tribological characteristics [9][10][11][12]. However, little is known regarding the relationship between AE and tribological phenomena, because of the complexity of such phenomena.…”

Section: Introductionmentioning

confidence: 97%

The relationship between acoustic emissions and wear particles for repeated dry rubbing

Hase

Wada

Mishina

2008

Wear

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“…(b) Most of the times, it has been assumed that spectral components of waves arriving to the AE sensor were directly related to AE sources, such as deformation [12] or friction [13], underestimating the influence of the transmission path filtering.…”

Section: Introductionmentioning

confidence: 99%

Bicepstrum based blind identification of the acoustic emission (AE) signal in precision turning

Iturrospe

Dornfeld

Atxa

et al. 2005

Mechanical Systems and Signal Processing

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It is believed that the acoustic emissions (AE) signal contains potentially valuable information for monitoring precision cutting processes, as well as to be employed as a control feedback signal. However, AE stress waves produced in the cutting zone are distorted by the transmission path and the measurement systems. In this article, a bicepstrum based blind system identification technique is proposed as a valid tool for estimating both, transmission path and sensor impulse response. Assumptions under which application of bicepstrum is valid are discussed and diamond turning experiments are presented, which demonstrate the feasibility of employing bicepstrum for AE blind identification. r

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Acoustic spectrometry as used for the evaluation of tribological systems

Cited by 38 publications

References 4 publications

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

The relationship between acoustic emissions and wear particles for repeated dry rubbing

Bicepstrum based blind identification of the acoustic emission (AE) signal in precision turning

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