Slip length estimation for flow over lubricant-impregnated surface

Fuente: arXiv
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Main Authors: Goyal, Vishal, Datta, Subhra
Format: Preprint
Published: 2025
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author Goyal, Vishal
Datta, Subhra
author_facet Goyal, Vishal
Datta, Subhra
contents Lubricant-impregnated surfaces (LIS) and superhydrophobic surfaces (SHSs) are known to passively reduce drag over a surface, which, with a suitable design such as the ribbed texture, can also steer flows anisotropically. Analytical predictions are developed for ribbed textures using an eigenfunction expansion approach. Compared to currently available analytical predictions, these predictions demonstrate superior numerical accuracy and avoid restrictive assumptions on rib geometry, working fluid and lubricant properties. The predictions provide contrasting design prescriptions depending on whether a lower drag or a larger degree of anisotropic flow deflection is desired.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14193
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Slip length estimation for flow over lubricant-impregnated surface
Goyal, Vishal
Datta, Subhra
Fluid Dynamics
Lubricant-impregnated surfaces (LIS) and superhydrophobic surfaces (SHSs) are known to passively reduce drag over a surface, which, with a suitable design such as the ribbed texture, can also steer flows anisotropically. Analytical predictions are developed for ribbed textures using an eigenfunction expansion approach. Compared to currently available analytical predictions, these predictions demonstrate superior numerical accuracy and avoid restrictive assumptions on rib geometry, working fluid and lubricant properties. The predictions provide contrasting design prescriptions depending on whether a lower drag or a larger degree of anisotropic flow deflection is desired.
title Slip length estimation for flow over lubricant-impregnated surface
topic Fluid Dynamics
url https://arxiv.org/abs/2511.14193