Rolling Contact Fatigue of Ceramics

Wereszczak, Andrew A.; Wang, W.; Wang, Y.; Hadfield, M.; Kanematsu, Wataru; Kirkland, T. P.; Jadaan, Osama M.

doi:10.2172/947572

Cited by 15 publications

(3 citation statements)

References 50 publications

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“…Another parameter leading to the breaking symmetry of the problem is , and its effect on SIF is demonstrated in Figs. 19. The results presented in these figures correspond to the primary crack, and as expected: the distributions of̄ , and̄ are not symmetrical with respect to = 90 • (plane of symmetry).…”

Section: Non-symmetrical Configuration: Orientation and Offset Of Star Featuresupporting

confidence: 74%

Modelling the criticality of silicon nitride surface imperfections under rolling and sliding contact

Zolotarevskiy

Kadin²,

Vieillard³

et al. 2020

Tribology International

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Ceramic rolling elements of hybrid bearings may initially include surface imperfections. In order to provide reliable operation of a bearing, the criticality of such imperfections under rolling contact fatigue is examined by defining them as Star features: intersecting semi-elliptical surface cracks. Parametric study is conducted using Finite Element Method and discussed with help of previously published experimental observations. The effects of the Star feature morphology and configuration, contact pressure and crack face friction are investigated in terms of stress intensity factors. Possible crack propagation scenarios are explained in the present study.

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Section: Non-symmetrical Configuration: Orientation and Offset Of Star Featuresupporting

confidence: 74%

Modelling the criticality of silicon nitride surface imperfections under rolling and sliding contact

Zolotarevskiy

Kadin²,

Vieillard³

et al. 2020

Tribology International

Self Cite

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“…Very few studies have been conducted on ceramic bearing fault diagnosis and remaining useful life prognosis of hybrid ceramic ball bearings. Past research has focused on studying the characteristics and applications of ceramic bearings (Wereszczak et al, 2006;Takebayashi, 2001;Arulampalam and Ristic, 2000;Chao et al, 1995;Ohta and Kobayashi, 1995;Rhoads and Bashyam, 1994;Ebert, 1990). Recently, a number of papers have reported research on hybrid ceramic D. He, R. Li, J. Zhu, and M. Zade are with the Intelligent Systems Modeling & Development Lab in the Department of Mechanical and Industrial Engineering at The University of Illinois at Chicago, Chicago, IL 60607, USA.…”

Section: Introductionmentioning

confidence: 99%

Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors

Zhu

et al. 2011

IEEE Trans. Neural Netw.

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Full ceramic bearings are considered the first step towards full ceramic, oil free engines in the future. No research on full ceramic bearing fault diagnostics using acoustic emission (AE) sensors has been reported. Unlike their steel counterparts, signal processing methods to extract effective AE fault characteristic features and fault diagnostic systems for full ceramic bearings have not been developed. In this paper, a data mining based full ceramic bearing diagnostic system using AE based condition indicators (CIs) is presented. The system utilizes a new signal processing method based on Hilbert Huang transform (HHT) to extract AE fault features for the computation of CIs. These CIs are used to build a data mining based fault classifier using a k-nearest neighbor (KNN) algorithm. Seeded fault tests on full ceramic bearing outer race, inner race, balls, and cage are conducted on a bearing diagnostic test rig and AE burst data are collected. The effectiveness of the developed fault diagnostic system is validated using real full ceramic bearing seeded fault test data. *

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“…Two theories behind different failure mechanisms are noted, and evidence for both is presented. The second problem is addressed through compression of a single ball; in an attempt to produce stresses which theory predicts should induce subsurface cracks, similar to methods which are used to produce c-cracking in silicon-nitride balls [5]. The frequency content of the AE produced can be compared to that recorded during four-ball rolling contact tests.…”

mentioning

confidence: 99%

The use of acoustic emission for bearing condition monitoring

Lees

Quiney

Ganji

et al. 2011

J. Phys.: Conf. Ser.

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This paper reports research currently in progress at Swansea University in collaboration with SKF Engineering & Research Centre as part of a continuing investigation into high frequency Acoustic Emission. The primary concerns are experimentally producing subsurface cracks, the type of which would occur in a service failure of a ball bearing, within a steel ball and to closely monitor the properties of this AE from crack initiation to the formation of a ball on the ball surface. It is worth noting that there is evidence that the frequency content of the AE changes during this period, although this has yet to be proved consistent or even fully explained. Conclusive evidence could lead to a system which detects such cracks in a bearing operating in real life conditions, advantageous for many reasons including safety, downtime and maintenance and associated costs. The results from two experimental procedures are presented, one of which loads a single ball held stationary in a test rig to induce subsurface cracks, which are in turn detected by a pair of broadband AE sensors and recorded via a Labview based software system. This approach not only allows detailed analysis of the AE waveforms but also approximate AE source location from the time difference between two sensors. The second experimental procedure details an adaptation of a four-ball lubricant tester in an attempt to produce naturally occurring subsurface cracks from rolling contact whilst minimising the AE arising from surface wear. This thought behind this experiment is reinforced with 3D computational modelling of the rotating system. Nomenclature p 0YYield-inducing contact pressure p 0Maximum contact pressure σ Y Yield stress P Normal load E* Effective Young's modulus between two objects in contact R Effective radius between two objects in contact a Radius of (assumed circular) area formed by two objects in contact IntroductionDetecting a defect within a bearing component before it is causes significant damage to the component, bearing or secondary damage to the associated equipment would be a significant goal for many of those involved in condition monitoring. To achieve this it is necessary to identify the subsurface cracking which occurs before a spall has formed on the surface of a component, and Acoustic Emission (AE) provides evidence that this could become a reality once a greater understanding of the associated phenomena is gained [1]. Several research programs find relationships between statistical analysis of the AE and, for example, defect sizes, but this often involves 'seeding' defects onto a bearing component, producing AE which would only occur once a component was in unacceptable condition [2,3]. The current research programme centres around experimental and computational analysis of the high frequency AE arising from rolling contact test performed with a standard four-ball lubricant tester. This piece of equipment has been used in similar research programs and is justified for the application due to its ability to simulate roll...

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Rolling Contact Fatigue of Ceramics

Cited by 15 publications

References 50 publications

Modelling the criticality of silicon nitride surface imperfections under rolling and sliding contact

Modelling the criticality of silicon nitride surface imperfections under rolling and sliding contact

Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors

The use of acoustic emission for bearing condition monitoring

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