A deterministic multiscale computation method for rough surface lubrication

Pei, Shiyuan; Xu, Hua; Shi, Fanghui

doi:10.1016/j.triboint.2015.10.005

Cited by 10 publications

(7 citation statements)

References 23 publications

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“…Afterwards, the same authors extended their multi-scale method to lubrication problems with rough surfaces considering parallel computation to speed-up the overall numerical solution. The results showed that the method can be used to predict the average mixed lubrication effects on the global scale (coarser mesh) from deterministic calculations in the small-scale, and to accurately recover the deterministic small-scale effects from the global scale results [227]. The same multi-scale methodology was then applied to investigate the influence of surface texture on the lubrication performance of floating ring bearings including thermal effects.…”

Section: Numerical Multi-scale Modelingmentioning

confidence: 99%

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Multi-Scale Surface Texturing in Tribology—Current Knowledge and Future Perspectives

2019

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Surface texturing has been frequently used for tribological purposes in the last three decades due to its great potential to reduce friction and wear. Although biological systems advocate the use of hierarchical, multi-scale surface textures, most of the published experimental and numerical works have mainly addressed effects induced by single-scale surface textures. Therefore, it can be assumed that the potential of multi-scale surface texturing to further optimize friction and wear is underexplored. The aim of this review article is to shed some light on the current knowledge in the field of multi-scale surface textures applied to tribological systems from an experimental and numerical point of view. Initially, fabrication techniques with their respective advantages and disadvantages regarding the ability to create multi-scale surface textures are summarized. Afterwards, the existing state-of-the-art regarding experimental work performed to explore the potential, as well as the underlying effects of multi-scale textures under dry and lubricated conditions, is presented. Subsequently, numerical approaches to predict the behavior of multi-scale surface texturing under lubricated conditions are elucidated. Finally, the existing knowledge and hypotheses about the underlying driven mechanisms responsible for the improved tribological performance of multi-scale textures are summarized, and future trends in this research direction are emphasized.

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Section: Numerical Multi-scale Modelingmentioning

confidence: 99%

“…Overview of the finite cell method proposed by[227] for modeling surface textures in different lubrication regimes. (a) Illustration of the main domain decomposition steps and nomenclature of the proposed method.…”

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confidence: 99%

Multi-Scale Surface Texturing in Tribology—Current Knowledge and Future Perspectives

2019

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“…Following this concept, a more general and unambiguous approach, the homogenization technique, was used to calculate more comprehensive and accurate flow factors [28][29][30][31][32]. Some researchers [33][34][35] developed double-scale solvers for lubricated contact. Although different theories, equations, and algorithms are used in these methods, they have one point in common: a relatively smallscale calculation domain is required to incorporate the stationary surface textures.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Influences of Multiscale Waviness on the Elastohydrodynamic Lubrication Performance, Part I: The Full-Film Condition

Wang

et al. 2022

Lubricants

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Understanding the responses of tribosystems to multiscale roughness is fundamental for the identification of the relevant roughness scales. This work used a point-contact elastohydrodynamic lubrication (EHL) problem as a representative tribosystem and artificially generated waviness with different amplitudes, frequencies, and directions to mimic the multiscale roughness. The amplitudes and frequencies are related to the feature geometry of smooth EHL problems. This work consists of Part I (this paper), focusing on the full-film condition, and Part II, focusing on the partial-film condition. Generated waviness is input to a transient thermal EHL model. The simulation is conducted 1,600 times for different waviness parameters, loads, and speeds. Seven performance parameters are extracted: the minimum film thickness, maximum pressure, central film thickness, central pressure, mean film thickness, coefficient of friction (COF), and maximum temperature rise. The ratios of these parameters with and without waviness are plotted on the frequency–amplitude coordinate plane as contour maps. The influences of the amplitude, frequency, wave direction, load, and speed on the seven performance parameters are analyzed and summarized. The simulated data and plotted contour maps are provided to the readers in the Supplementary Material.

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“…The majority research studies mainly focused on the mathematical models (de Kraker et al, 2007;Tala-Ighil and Fillon, 2015;Qiu et al, 2014;Su et al, 2017), the numerical methods (Pei et al, 2016;Woloszynski et al, 2015) and the effect of the texture shape (Guzek et al, 2013;Qiu et al, 2013;Shen and Khonsari, 2013), dimple height (Guzek et al, 2013), bottom shape profile (Wang et al, 2017), surface textured configurations (Khatri and Sharma, 2016), etc. on the tribological performances of the oil, gas or non-Newtonian bearing.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of water-lubricated thrust bearing with groove texture considering turbulence and cavitation

Feng

Peng

2018

ILT

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Purpose This paper aims to establish the mathematical models for the water-lubricated thrust bearing with groove texture considering turbulence and cavitation and numerically analyze the influence of rotary speed, texture depth, groove number and groove width on the static performance of the bearing. Design/methodology/approach The turbulent Reynolds equation and the Jakobsson–Floberg–Olsson cavitation model are adopted for the analysis. The Payvar–Salant algorithm and Finite difference schemes are used to discretize the governing equations. To illustrate the influence of turbulence, the performance of the bearing predicted by the turbulent and laminar models are compared. Findings According to the results, the load capacity and the friction force calculated by the turbulent model are greater than those obtained by laminar model, and the deviation between them gradually increases with the increased rotary speed. So, the turbulent effect should be fully considered for high-speed water-lubricated bearing with surface texture. There exists a peak value for the load capacity of the water-lubricated thrust bearing in respect to the texture depth, the number of grooves and the groove width ratio, while the friction force varies slowly with those parameters. Well-designed groove texture can improve the performance of the water-lubricated thrust bearing. Originality/value This paper proposes a mathematical model considering turbulent and cavitation effect for water-lubricated thrust bearing with surface texture. This model can be complementary to conventional laminar model which is used to analyze the performance of textured bearing at low rotary speed.

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A deterministic multiscale computation method for rough surface lubrication

Cited by 10 publications

References 23 publications

Multi-Scale Surface Texturing in Tribology—Current Knowledge and Future Perspectives

Multi-Scale Surface Texturing in Tribology—Current Knowledge and Future Perspectives

Understanding the Influences of Multiscale Waviness on the Elastohydrodynamic Lubrication Performance, Part I: The Full-Film Condition

Numerical analysis of water-lubricated thrust bearing with groove texture considering turbulence and cavitation

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