Thermal point contact EHL analysis of rolling/sliding contacts with experimental comparison showing anomalous film shapes

Carli, M.; Sharif, Khairi; Ciulli, Enrico; Evans, Henry Peredur; Snidle, Raymond Walter

doi:10.1016/j.triboint.2008.07.011

Cited by 26 publications

(32 citation statements)

References 18 publications

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“…Besides the existing predictions for thermal film thickness based on simple formulae, the thermal influence is frequently considered by means of the energy equation [14], solved together with generalised Reynolds equations. This involves an additional increase in the computational cost.…”

Section: Introductionmentioning

confidence: 99%

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Film Thickness Formula for Thermal EHL Line Contact Considering a New Reynolds–Carreau Equation

et al. 2018

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This article presents thermal EHL calculations for line contacts using a new analytical form of the Reynolds equation for lubricants whose rheological behaviour follows a modified Carreau model proposed by Bair. The isothermal calculation process was presented in: de la Guerra (Tribol Int 82:133-141, 2015). A new parametric formula is hereby developed using the aforementioned Reynolds-Carreau equation and adding the thermal effects to the solving process. The accuracy of this formula is discussed by comparing the estimates with the experimental and numerical results available. This analytical formula provides a fast and easy calculation methodology with good accuracy within a reasonably wide range of operating conditions.

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Section: Introductionmentioning

confidence: 99%

“…This involves an additional increase in the computational cost. The general expression for the energy equation in line contact is as follows [14] The thermal balance for each contacting body i (i = 1,2) is given by Eq. (13),…”

Section: Introductionmentioning

confidence: 99%

Film Thickness Formula for Thermal EHL Line Contact Considering a New Reynolds–Carreau Equation

et al. 2018

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“…In addition, energy Equation is considered in order to take account of the thermal influence.

\frac{\partial}{\partial x} (K \frac{\partial T}{\partial x}) + \frac{\partial}{\partial y} (K \frac{\partial T}{\partial y}) + \frac{\partial}{\partial z} (K \frac{\partial T}{\partial z}) + ϵTu \frac{\partial p}{\partial x} + τ \frac{\partial u}{\partial z} = ρcu \frac{\partial T}{\partial x}

…”

Section: Comparison With Analytical and Numerical Solving Methodsmentioning

confidence: 99%

“…On the one hand, there are analytical models that put forward simplifying hypotheses that are useful for quick predictions but which sometimes only allow rough estimations of the results. On the other hand, for a more refined calculation, numerical simulations are used, which furnish accurate results for the lubricated contact under different operating conditions but which require lengthy calculation times to solve the equations involved through iterative processes.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network approach to predict the lubricated friction coefficient

Otero

Ochoa

Tanarro

et al. 2013

Lubrication Science

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This paper analyses the applicability of artificial neural networks for predicting the lubricated friction coefficient. We will consider their use as faster and simpler alternatives to simulations based on theoretical behaviour equations. The development of several different artificial neural networks is presented. They have been trained through tribological tests on a mini‐traction‐machine, which furnishes the friction coefficient in point contacts. Once the training has been completed the networks are applied as tools for predicting the results in different operating conditions. Their advantages and disadvantages are analysed compared with conventional simulation tools. Copyright © 2013 John Wiley & Sons, Ltd.

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“…It is worth noting that it is generally accepted that the lubricated conjunction may be separated into zones that operate somewhat independently. 24,34 The film thickness is mainly dependent on the fluid dynamics of the inlet zone, whereas the friction coefficient is essentially determined by the high-pressure rheological behaviour of the lubricant within the high-pressure contact zone.…”

Section: Friction Coefficient In Fluid Film Lubricationmentioning

confidence: 99%

Friction coefficient in mixed lubrication: A simplified analytical approach for highly loaded non-conformal contacts

Otero

Ochoa

Tanarro

et al. 2017

Advances in Mechanical Engineering

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This article presents an analytical model for predicting friction in mixed lubrication regime. The calculations consider load shared between roughness asperities and the lubricant film, as well as the appearance of thermal effects in the contact and the influence of the lubricant rheology. Tests using tribometers have been performed to measure the friction coefficient in non-conformal surfaces for both point and line contacts. This allows verifying the results of the model under a broad range of experimental conditions with an influence on the lubrication conditions. Reasonably good precision has been found in the results obtained, which combined with a simplicity of use confers the model a high practical utility for rough estimates of the friction coefficient under mixed lubrication.

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Thermal point contact EHL analysis of rolling/sliding contacts with experimental comparison showing anomalous film shapes

Cited by 26 publications

References 18 publications

Film Thickness Formula for Thermal EHL Line Contact Considering a New Reynolds–Carreau Equation

Film Thickness Formula for Thermal EHL Line Contact Considering a New Reynolds–Carreau Equation

Artificial neural network approach to predict the lubricated friction coefficient

Friction coefficient in mixed lubrication: A simplified analytical approach for highly loaded non-conformal contacts

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