Prediction of drag components on rough surfaces using effective models
Sahaj Jain, Y. Sudhakar

TL;DR
This paper develops an effective Transpiration-Resistance model in polar coordinates to accurately predict drag components on rough surfaces, reducing computational costs while capturing viscous and pressure drag contributions.
Contribution
It introduces shear and pressure correction factors that enable drag component prediction without additional microscale simulations, extending effective models to include drag computation.
Findings
Accurately predicts viscous and pressure drag on rough surfaces.
Effective parameters derived from microscale problems.
Validated with flow over rough surfaces and cylinders.
Abstract
Owing to the multiscale nature and the consequent high computational cost associated with simulations of flows over rough surfaces, effective models are being developed as a practical means of dealing with such flows. Existing effective models focus primarily on accurately predicting interface velocities using slip length. Moreover, they are concerned mainly with flat interfaces and do not directly address the drag computation. In this work, we formulate the Transpiration-Resistance model in polar coordinates and address the challenge of computing drag components on rough surfaces. Like slip length, we introduce two constitutive parameters called shear and pressure correction factors that encompass information about how the total drag is partitioned into viscous and pressure components. Computation of these non-empirical parameters does not necessitate solving additional microscale…
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