Optimum shape design for surface of a thermohydrodynamic lubrication slider bearing

Alyaqout, Sulaiman F.; Elsharkawy, Abdallah A.

doi:10.1002/ls.1189

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…Film shapes such as secant, flat, exponential, and hyperbolic sliders are studied. Alyaqout and Elsharkawy [7] enhance the slider bearing geometry using a thermohydrodynamic bearing model. Thakkar et al [8] used a stochastic model to account for the impact of surface roughness while examining the behavior of transversely rough narrow-width tapered pad bearings.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Thermal and Surface Roughness Effect of Slider Bearings with Unsteady Fluid Film Lubricant Using Finite Element Method

Tessema,

Derese,

Tiruneh

2024

Journal of Applied Mathematics

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The streamline upwind Petrov-Galerkin (SUPG) finite element method was used in this study to investigate the thermal and surface roughness effects on an inclined slider bearing with an unsteady fluid film. One-dimensional transverse and longitudinal surface roughness models were considered with the supposition that roughness is stochastic and has a Gaussian random distribution. For simplicity of numerical computation, the irregularity caused by the texture of the surface is transformed into a regular domain. The bearing performance of the combined effect is lower than the thermal and surface roughness effects of the one-dimensional longitudinal surface roughness for all modified Reynolds numbers of nonparallel slider bearings; this means that for nonparallel (w=0.4) between the surface roughness effect and the combined effect condition, there is a decrease of 13% in load-carrying capacity performance and a minimal change in friction force, respectively. However, in the case of nonparallel one-dimensional transverse type slider bearings, the bearing performance of the thermal effect is lower than the combined and surface roughness effects for all modified Reynolds numbers, where between the combined effect and the thermal effect condition, there is a reduction of 19% in load-carrying capacity performance and 2% in friction force practically for all changed Reynolds values, respectively. Furthermore, the combined effects at various temperatures have been investigated. As a result, in both longitudinal and transverse models, in the case of the pad temperature being lower than the slider, the load-carrying capacity performance is higher than in other cases for nonparallel slider bearings, whereas when the slider temperature is lower than the pad temperature, the drag frictional force is the leading one in both models. In general, considering surface texture and inertial effects will increase the performance of a slider. The results obtained are displayed using figures and tables.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of Thermal and Surface Roughness Effect of Slider Bearings with Unsteady Fluid Film Lubricant Using Finite Element Method

Tessema,

Derese,

Tiruneh

2024

Journal of Applied Mathematics

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“…Hirani [20] adopted a generic algorithm (GA) to optimize journal bearings with four constraints and one objective, which was a linear combination of power and oil flow. Alyaqout [21] used a sequential quadratic programming algorithm to optimize the shape of a thermos-hydrodynamic lubrication slider bearing. Multiobjective optimization analysis was performed to modify the tooth surface for improving gear comprehensive characteristics [22].…”

Section: Introductionmentioning

confidence: 99%

Effects of axial profile on the main bearing performance of internal combustion engine and its optimization using multiobjective optimization algorithms

2021

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The effects of axial profile parameters on the main bearing performance of the engine were investigated through the numerical method based on elasto-hydrodynamic lubrication theory, average flow, and asperity contact model. Results show that quadratic profile significantly improves the bearing performance, and the influence of profile varies with its width-toheight ratio. The performance is most improved when the ratio is between 0.8 and 2. An artificial neural network fitting model was developed to predict bearing performance, and multiobjective optimum analyses were performed using genetic algorithm and particle swarm optimization. The optimization goals are average peak asperity contact pressure and average total friction loss. The obtained Pareto front roughly includes three groups, and solutions in group 1 achieve a balance of the two goals, with a width-to-height ratio of 1.5-2. Finally, bearing friction tests were conducted on four profiled bearings to verify the simulation model and optimization results.

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“…Other strategies for the free-form optimization of the gap height have been proposed by Maday using calculus of variations in the case of a 1D journal bearing [22,23]. Beside the optimization based on the simple Reynolds equation, sequential quadratic programming was also used by Alyaqout and Elsharkawy [24] for slider bearings in the frame of thermo-hydrodynamic lubrication by the coupling of the Reynolds and energy equations.…”

Section: Introductionmentioning

confidence: 99%

Adjoint optimization of surface textures in mixed lubrication regime

Codrignani¹,

Savio²,

Pastewka³

et al. 2020

Preprint

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In this work we assess the applicability of the adjoint optimization technique for determining optimal surface topographies of two surfaces in relative motion in presence of a thin lubricant films that can cavitate. Among the existing numerical tools for topology optimization in engineering problems, the adjoint method represents a promising and versatile technique, which can also be applied to the field of full film tribology. In particular, the design of surfaces with complex textures can thoroughly benefit from this method, as it allows dealing with a large number of degrees of freedom at low computational cost. We show that this optimization method can be successfully applied to cavitating lubricant flows such as in pin-on-disc tribometers, giving the possibility to extend the results also to other typical applications such as journal and slider bearings. It is shown that the adjoint method can optimize the whole gap height distribution point by point in a more efficient way than traditional optimization approaches and parametric studies. In particular, thanks to the sensitivity analysis the adjoint method is able to find the placement and depth profile of each texture element.

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Optimum shape design for surface of a thermohydrodynamic lubrication slider bearing

Cited by 7 publications

References 15 publications

Performance Analysis of Thermal and Surface Roughness Effect of Slider Bearings with Unsteady Fluid Film Lubricant Using Finite Element Method

Performance Analysis of Thermal and Surface Roughness Effect of Slider Bearings with Unsteady Fluid Film Lubricant Using Finite Element Method

Effects of axial profile on the main bearing performance of internal combustion engine and its optimization using multiobjective optimization algorithms

Adjoint optimization of surface textures in mixed lubrication regime

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