A multiscale-approach for wear prediction in journal bearing systems – from wearing-in towards steady-state wear

König, Florian; Chaib, Achraf Ouald; Jacobs, Georg; Sous, Christopher

doi:10.1016/j.wear.2019.01.036

Cited by 42 publications

(31 citation statements)

References 28 publications

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“…Numerical simulations have found broad applications in many areas of engineering for predicting wear of various components, including wheel-rail pairs [678], cutting tools [679], artificial joints [680], and bearings [681], etc.…”

Section: Other Developments and Applicationsmentioning

confidence: 99%

A review of recent advances in tribology

et al. 2020

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The reach of tribology has expanded in diverse fields and tribology related research activities have seen immense growth during the last decade. This review takes stock of the recent advances in research pertaining to different aspects of tribology within the last 2 to 3 years. Different aspects of tribology that have been reviewed including lubrication, wear and surface engineering, biotribology, high temperature tribology, and computational tribology. This review attempts to highlight recent research and also presents future outlook pertaining to these aspects. It may however be noted that there are limitations of this review. One of the most important of these is that tribology being a highly multidisciplinary field, the research results are widely spread across various disciplines and there can be omissions because of this. Secondly, the topics dealt with in the field of tribology include only some of the salient topics (such as lubrication, wear, surface engineering, biotribology, high temperature tribology, and computational tribology) but there are many more aspects of tribology that have not been covered in this review. Despite these limitations it is hoped that such a review will bring the most recent salient research in focus and will be beneficial for the growing community of tribology researchers.

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Section: Other Developments and Applicationsmentioning

confidence: 99%

A review of recent advances in tribology

et al. 2020

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“…The synthetically worn bearing surfaces were created with method described in Ref. [28]. For the reader's convenience, a short summary is given here.…”

Section: Deterministic Contact Modellingmentioning

confidence: 99%

“…Furthermore, it was shown that the maximum friction torque was significantly reduced with increasing number of start-stop cycles [21,[28][29][30]. Mokhtar et al even observed that asperity interaction was only present after the shaft rotation fully ceased.…”

Section: Introductionmentioning

confidence: 99%

Numerical prediction of the frictional losses in sliding bearings during start-stop operation

2020

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With the increased use of automotive engine start-stop systems, the numerical prediction and reduction of frictional losses in sliding bearings during starting and stopping procedures has become an important issue. In engineering practice, numerical simulations of sliding bearings in automotive engines are performed with statistical asperity contact models with empirical values for the necessary surface parameters. The aim of this study is to elucidate the applicability of these approaches for the prediction of friction in sliding bearings subjected to start-stop operation. For this purpose, the friction performance of sliding bearings was investigated in experiments on a test rig and in transient mixed elasto-hydrodynamic simulations in a multi-body simulation environment (mixed-EHL/MBS). In mixed-EHL/MBS, the extended Reynold’s equation with flow factors according to Patir and Cheng has been combined on the one hand with the statistical asperity contact model according to Greenwood and Tripp and on the other hand with the deterministic asperity contact model according to Herbst. The detailed comparison of simulation and experimental results clarifies that the application of statistical asperity contact models with empirical values of the necessary inputs leads to large deviations between experiment and simulation. The actual distribution and position of surface roughness, as used in deterministic contact modelling, is necessary for a reliable prediction of the frictional losses in sliding bearings during start-stop operation.

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“…They are subjected to high loading and severe conditions during operation (Xi et al , 2018; Vencl and Rac, 2014). Proper running in of main bearings can improve the surface contact state, reduce friction and wear between friction pairs and extend the service life of diesel engines (Konig et al , 2019). Therefore, it is of prime importance to effectively recognize the running-in state of main bearings.…”

Section: Introductionmentioning

confidence: 99%

Application of recurrence dynamic analysis to running-in state recognition

Peng

Zhou

Zuo

2021

ILT

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Purpose The purpose of this paper is to study the dynamic features of friction coefficient during running-in state based on recurrence analysis, so as to recognize the running-in state of crankshaft journal bearings. Design/methodology/approach The friction coefficient was measured in the friction experiments and the dynamic features are analyzed by recurrence plots (RPs), unthreshold recurrence plots (URPs) and recurrence quantification analysis. Findings During the running-in process, RPs have gone through disrupted patterns, drift patterns and homogeneous patterns successively. URP shows that the phase trajectory spirals in the disrupted pattern gradually converge in the drift pattern and remain stable in the homogeneous pattern. Three independent measures, recurrence rate, entropy and laminarity, are chosen to characterize friction coefficient from the perspective of point, diagonal line and vertical line structures of the RPs. Originality/value The results provide a feasible way to monitor the running-in process and recognize the running-in state.

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A multiscale-approach for wear prediction in journal bearing systems – from wearing-in towards steady-state wear

Cited by 42 publications

References 28 publications

A review of recent advances in tribology

A review of recent advances in tribology

Numerical prediction of the frictional losses in sliding bearings during start-stop operation

Application of recurrence dynamic analysis to running-in state recognition

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