Adhesive and abrasive wear studies using acoustic emission techniques

Boness, R. J.; McBride, S. L.

doi:10.1016/0043-1648(91)90363-y

Cited by 90 publications

(51 citation statements)

References 7 publications

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“…With regard to the wear transition, it has been confirmed that the AE signal level decreases as a result of the transition from severe to mild wear mode 7,8) . However, the fundamental relationship between AE signals and tribological phenomena has not yet been determined.…”

Section: Introductionmentioning

confidence: 82%

Acoustic Emission Signals and Wear Phenomena on Severe-Mild Wear Transition

2008

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The relationship between acoustic emission (AE) signals and wear phenomena in severe-mild wear transition is discussed on the basis of the results of observations of wear particles and worn surfaces of steel. Each wear mode, severe wear or mild wear, is reproduced for a different sliding velocity. The influence of relative humidity on mild wear is examined. We found a reduction in the true area of contact and the size of wear particles decreases the AE signal level in severe-mild wear transition. In the mild wear mode, an increase in the number of transfer particles lying between the sliding surfaces decreases the AE signal level. Further, a linear relationship is observed between the AE mean value and the specific wear rate, regardless of the wear mode. This is because the AE signals generated by the formation and removal of transfer particles mainly originate under conditions of repeated dry rubbing.

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Section: Introductionmentioning

confidence: 82%

Acoustic Emission Signals and Wear Phenomena on Severe-Mild Wear Transition

2008

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“…The generation of AE during the sliding motion of two mating surfaces is attributed to adhesion, contact and deformation of asperities and the ploughing action of wear particles [18]. It has been shown [18,19,20,21,22] that the strength and rate of AE activity is dependent on sliding velocity, friction coefficient of mating surfaces, contact pressure and the height of surface roughness. In addition, these studies have been undertaken with and without lubrication.…”

Section: Acoustic Emissionmentioning

confidence: 99%

“…As the low pressure cylinders were of identical size, and on the assumption that the transmission path to the receiving sensors are identical, it was observed that the strongest AE source was from 'LP2 Rear', and as such, it is highly probable that rubbing of mating surfaces at this position was at a particular stage of wear that resulted in higher AE activity than at 'LP1 Rear'. The relationship between AE levels and wear has been investigated for sliding of lubricated and dry mating surfaces [18,19,20,21,22,27]. Acoustic Emission activity was shown to be dependent on the asperity contact, surface roughness and third body interactions.…”

Section: Other Observationsmentioning

confidence: 99%

Detection of shaft-seal rubbing in large-scale power generation turbines with acoustic emissions. Case study

Cooke

Roby

Hewitt

2004

Proceedings of the Institution of Mechanical Engineers, Part A:

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Rubbing between the central rotor and the surrounding stationary components of machinery such as large-scale turbine units can escalate into severe vibration, resulting in costly damage. Although conventional vibration analysis remains an important condition monitoring technique for diagnosing such rubbing phenomena, the non-destructive measurement of Acoustic Emission (AE) activity at the bearings on such plant is evolving into a viable complementary detection approach, especially adept at indicating the early stages of shaft-seal rubbing. This paper presents a case study on the application of high frequency acoustic emissions as a means of detecting and verifying shaft-seal rubbing on a 217MVA operational steam turbine unit. The generation of AE activity is attributed to the contact, deformation, adhesion and ploughing of surface asperities on the rubbing surfaces of the rotor and stator.

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“…Boness and McBride 74 found an empirical relationship between AE, RMS and wear volume removed. An effect caused by adhesive and abrasive degradation mechanisms in lubricated point contacts.…”

Section: Sunnersjo¨5mentioning

confidence: 99%

“…Permanent deformation consists of plastic deformation, which occurs Localized defects [65][66][67][68][69] Crack detection 70,71 Wear [72][73][74] Crack length estimation 32,[75][76][77] Damage location 26,[78][79][80][81][82] Tooth breakage 11,62,83 Geometrical imperfections 26,55 Contaminants 84…”

Section: Gearsmentioning

confidence: 99%

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

Cubillo

Perinpanayagam

Esperon-Miguez

2016

Advances in Mechanical Engineering

204

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Health condition monitoring for rotating machinery has been developed for many years due to its potential to reduce the cost of the maintenance operations and increase availability. Covering aspects include sensors, signal processing, health assessment and decision-making. This article focuses on prognostics based on physics-based models. While the majority of the research in health condition monitoring focuses on data-driven techniques, physics-based techniques are particularly important if accuracy is a critical factor and testing is restricted. Moreover, the benefits of both approaches can be combined when data-driven and physics-based techniques are integrated. This article reviews the concept of physics-based models for prognostics. An overview of common failure modes of rotating machinery is provided along with the most relevant degradation mechanisms. The models available to represent these degradation mechanisms and their application for prognostics are discussed. Models that have not been applied to health condition monitoring, for example, wear due to metal-metal contact in hydrodynamic bearings, are also included due to its potential for health condition monitoring. The main contribution of this article is the identification of potential physics-based models for prognostics in rotating machinery.

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Adhesive and abrasive wear studies using acoustic emission techniques

Cited by 90 publications

References 7 publications

Acoustic Emission Signals and Wear Phenomena on Severe-Mild Wear Transition

Acoustic Emission Signals and Wear Phenomena on Severe-Mild Wear Transition

Detection of shaft-seal rubbing in large-scale power generation turbines with acoustic emissions. Case study

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

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