Acoustic emission method for research and control of friction pairs

Sarychev, G. A.; Shchavelin, V. M.

doi:10.1016/0963-8695(94)90520-7

Cited by 3 publications

(6 citation statements)

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“…6 are signatures of system electronic noise only. These observations of increased AE activity with speed for a load condition reinforce the findings of Sarychev [12].…”

Section: Defect Simulations and Operational Noisesupporting

confidence: 88%

“…The source of AE activity was attributed to the breaking of surface asperities and the formation and destruction of the friction contact. Sarychev [12] observed that the strength of AE depended on; sliding velocity, friction coefficient of mating surfaces, contact pressure and the height of surface roughness, while Lingard [13] noted that AE was attributed to frictional forces rather than wear. It may be concluded that the process of wear between contact faces of the wheel and rail-track, and propagation of cracks within the track, will generate AE activity.…”

Section: Acoustic Emission In Rail Trackmentioning

confidence: 99%

“…Researchers [12,13] have investigated wear between loaded metal surfaces in relative motion, with or without lubrication, and concluded that AE can be used to determine the onset and the rate of wear between components. The source of AE activity was attributed to the breaking of surface asperities and the formation and destruction of the friction contact.…”

Section: Acoustic Emission In Rail Trackmentioning

confidence: 99%

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An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection

Bruzelius

2004

NDT & E International

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In light of recent accidents in the rail industry, the assessment of the mechanical integrity of rail-track is of vital importance. This encompasses the integrity of the track due to rolling contact fatigue and surface wear. Whilst numerous techniques are employed for crack detection, several defects have clearly been missed. In Europe, more than 100 rails are broken each year and rail maintenance costs within the European Union is estimated at 300-million Euros annually [Inst Mech Engrs 216 (2001) 249]. The derailment of a train at Hatfield in October 2000 is a tragic example of a fractured rail going undetected.This paper presents an experimental study on the applicability of Acoustic Emissions (AE) for rail-track defect diagnosis. An experimental test-rig was employed for this programme. This allowed for a surface defect to be seeded onto the test-rig. The investigation presented is part of an on-going attempt to develop the non-destructive technique of AE for assessing the surface integrity of rail-track. The AE technique is not new but the application in this particular instance is unique. It is concluded that the AE technique offers a complementary tool for rail track defect detection. q

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“…6 are signatures of system electronic noise only. These observations of increased AE activity with speed for a load condition reinforce the findings of Sarychev [12].…”

Section: Defect Simulations and Operational Noisesupporting

confidence: 88%

Section: Acoustic Emission In Rail Trackmentioning

confidence: 99%

Section: Acoustic Emission In Rail Trackmentioning

confidence: 99%

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An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection

Bruzelius

2004

NDT & E International

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“…Several natural phenomena such as earthquakes, avalanches, landslides and crack propagation in ice are accompanied by acoustic emission [10]. The peculiarity of the acoustic emission signal involved in tribological processes is the necessity to understand how the elastic interaction of surface roughness is converted into acoustic emission signals [11]. Hase et al [12] studied the characteristics of the acoustic emission signals and correlated them with the wear mechanisms.…”

Section: -Introductionmentioning

confidence: 99%

A new approach for detection of wear mechanisms and determination of tool life in turning using acoustic emission

Maia

Abrão²,

Vasconcelos³

et al. 2015

Tribology International

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“…Researchers [17][18][19] have investigated wear between loaded metal surfaces in relative motion, with or without lubrication, and concluded that AE can be used to determine the onset and the rate of wear between components. The source of AE activity was attributed to the breaking of surface asperities and the formation and destruction of the friction contact.…”

Section: Stress Wavesmentioning

confidence: 99%

Condition monitoring of low-speed rotating machinery using stress waves Part 1

Bannister

Findlay

1999

Proceedings of the Institution of Mechanical Engineers, Part E:

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Condition monitoring through the use of vibration analysis is an established and effective technique for detecting the loss of mechanical integrity of a wide range and classification of rotating machinery. Equipment rotating at low rotational speeds presents an increased difficulty to the diagnostician [1-4, 23], since conventional vibration measuring equipment is not capable of measuring the fundamental frequency of operation. Also, component distress at low operational speeds does not necessarily show an obvious change in vibration signature.This paper presents a study of high-frequency stress wave analysis as a means of detecting the early stages of the loss of mechanical integrity in low-speed machinery. Investigations were centred on the rotating biological contactor (RBC) which is used for sewage treatment in small communities and rotates between 0.6 and 1 r/min (0.0167 Hz). The mechanism of stress wave generation was the relative movement between mating components experiencing loss of mechanical integrity, e.g. the loss of tightening torque between clamped components. PROBLEMS WITH VIBRATION ANALYSIS OF LOW-SPEED ROTATING MACHINERYThere is no universally accepted criterion at which machines are classified as of a low-speed type. However, it is generally accepted that 600 r/min is the minimum speed for intermediate-speed classification [1] and any speed below this could be classified as a low speed. Monitoring low-speed machines makes great demands on both the analyst and vibration diagnostic instrumentation. This is primarily because standard predictive maintenance measuring instruments are inappropriate for low speeds. Typically, low-speed machines are massive in size and consequently, when mechanical defects begin to occur, the resulting vibration is often very low and serious faults can go undetected. The main problems with vibration analysis of low-speed machinery can be divided into two categories:1. The optimum vibration parameter for low-frequency measurements must be selected. The most widely used parameter for measuring vibration is acceleration. However, acceleration decreases with reduction in rotational speed. Therefore, the best parameter for measuring vibration at low rotational speeds (less than 600 r/min) is displacement [2]. 2. There are instrument limitations for low-frequency analysis. In order to combat the inherent low-frequency instrument noise problem, many data collectors, spectrum analysers and sensors are fitted with high-pass roll-off filters at approximately 5 Hz. Unfortunately, the once-per-revolution features associated with many fault conditions go undetected within the 0-5 Hz frequency range.There have been a few attempts to develop systems for monitoring bearings at speeds between 1 and 10 r/min, although with limited success [1, 3, 4].

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Acoustic emission method for research and control of friction pairs

Cited by 3 publications

References 0 publications

An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection

An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection

A new approach for detection of wear mechanisms and determination of tool life in turning using acoustic emission

Condition monitoring of low-speed rotating machinery using stress waves Part 1

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