Shear stress characteristics of microtextured surfaces in gap-controlled hydrodynamic lubrication

Johnston, Michael T.; King, William P.; Ewoldt, Randy H.

doi:10.1016/j.triboint.2014.10.005

Cited by 13 publications

(19 citation statements)

References 41 publications

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“…11(b), 13(b), 15(b), and 17(b). The higher pressure further separates the surfaces [37] and improves the load capacity [38], resulting in lower local shear stress [39] and a lower friction coefficient [22,40]. Flat, triangle T2, and curved bottom profiles produce very similar values of local maximum pressure at the trailing edge; however, the triangle T2 bottom profile induces the highest average hydrodynamic pressure, as it produces the largest wedge effect in the direction of flow from the leading to trailing edge.…”

Section: Comparative Analysismentioning

confidence: 99%

Multi-objective optimization of the design parameters of texture bottom profiles in a parallel slider

Hingawe

Bhore

2019

Friction

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In this paper, a square textured parallel slider is considered for a study to improve the hydrodynamic performance of moving parts. The numerical method is employed for the analysis of a square texture with different bottom profiles: flat, triangle T1, triangle T2, and curved. The governing Reynolds equation is solved using a finite difference numerical discretization technique with the Gauss-Seidel iterative scheme. To obtain optimized process parameters, the response surface methodology-based central composite design along with grey relational analysis multi-objective optimization is used. The multi-objective responses are the load capacity and friction coefficient. The triangle T2 bottom profile yields the highest load capacity and the lowest friction coefficient compared to flat, triangle T1, and curved bottom profiles, of which the triangle T1 bottom profile yields the worst results. For the triangle T2 bottom profile, the flow speed is found to be the most significant process parameter, followed by the aspect ratio. Texture density is found to be the least significant parameter based on increasing the load capacity and decreasing the friction coefficient.

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Section: Comparative Analysismentioning

confidence: 99%

Multi-objective optimization of the design parameters of texture bottom profiles in a parallel slider

Hingawe

Bhore

2019

Friction

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“…The competing design objectives investigated here include reducing effective viscosity (related to friction) and the cross-sectional area of the texture (related to cost). Previous studies have shown that the use of surface textures aids in decreasing friction in lubricated sliding contact [44]. Schuh and Ewoldt [45] have experimentally examined the effects of using symmetric and asymmetric textures to decrease viscous friction and increase normal force production with Newtonian Fig.…”

Section: Design For Efficient Fluid Powermentioning

confidence: 99%

On Using Adaptive Surrogate Modeling in Design for Efficient Fluid Power

Rao

Schuh

Ewoldt

et al. 2015

Volume 2B: 41st Design Automation Conference

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In the last several decades fluid power has been used extensively in diverse industries such as agriculture, construction, marine, offshore resource extraction, and even entertainment. With a vast and ever-increasing spectrum of potential applications, the design of efficient and leak-free components in fluid power systems has become essential. Previous experiments and studies have shown that the use of microtextured surfaces in hydraulic components achieves performance enhancement by reducing friction and leakage. This article aims to build on this recent work through a systematic optimization-based study of performance improvement through microtexture surface design. These studies evaluate the potential of Newtonian fluid properties, coupled with varying surface features, to achieve design objectives for efficiency. This early-stage design strategy aims to find optimal surface features that minimize apparent fluid viscosity (low friction) and the area of the microtexture. The resulting multi-objective optimization (MOO) problem involves a computationally intensive simulation of the system based on computational fluid dynamics (CFD). As a strategy to reduce overall computational expense, this paper describes the development of a new adaptive surrogate modeling strategy for multi-objective optimization. Two case studies are presented: a simple analytical case study illustrating the details of the method and a more sophisticated case study involving the two-dimensional CFD simulation of Newtonian fluids on symmetric surface textures. This design approach embraces the potential of using rheologically complex fluids in engineering system design and optimization. This study can be further extended to a more generalized problem by coupling both fluid and geometrical design decisions.

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“…Surface textures decrease friction in lubricated sliding contact with Newtonian fluids. [1][2][3] We have previously shown that this friction reduction can be enhanced using more general surface topographies. 4 For that study, we developed surface parameterization techniques for generating an arbitrary texture profile subject to a limitation on the local slope (manufacturability constraint).…”

Section: Introductionmentioning

confidence: 97%

Simultaneous Design of Non-Newtonian Lubricant and Surface Texture Using Surrogate-Based Optimization

Lee

Schuh

Ewoldt

et al. 2018

2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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Surface textures decrease friction in lubricated sliding contact with Newtonian lubricants. When using a non-Newtonian lubricant, the friction reduction is enhanced. In this study, we present a simultaneous design of the shape of a textured surface and the non-Newtonian viscometric functions using a multiobjective surrogate-based optimization technique. We model the flow of the non-Newtonian fluids between a flat plate and a texture surface using two different models: the Criminale-Ericksen-Filbey (CEF) model (which can be used to derive a modified Reynolds equation), and a multi-mode Giesekus model (which is used with the full 3-D Cauchy Momentum equations). We demonstrate the efficiency of our previously developed multiobjective adaptive surrogate modeling-based optimization (MO-ASMO) method, and provide insights into co-designing of the lubricant and textured surface, and how these results can be physically realized.

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Shear stress characteristics of microtextured surfaces in gap-controlled hydrodynamic lubrication

Cited by 13 publications

References 41 publications

Multi-objective optimization of the design parameters of texture bottom profiles in a parallel slider

Multi-objective optimization of the design parameters of texture bottom profiles in a parallel slider

On Using Adaptive Surrogate Modeling in Design for Efficient Fluid Power

Simultaneous Design of Non-Newtonian Lubricant and Surface Texture Using Surrogate-Based Optimization

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