LES of Droplet Impingement: Application to Clean and Laser-Scanned Ice Shapes
Federico Zabaleta, Brett Bornhoft, Suhas S. Jain, Sanjeeb T. Bose, Parviz Moin

TL;DR
This study uses high-fidelity simulations to analyze droplet impingement on ice shapes, revealing how surface roughness influences local droplet distribution and ice accretion patterns, explaining characteristic ice structures.
Contribution
It introduces a validated computational framework to quantify the effects of surface roughness on droplet impingement and ice growth, advancing understanding of ice roughening mechanisms.
Findings
Physical roughness causes nonuniform droplet impingement with concentrated upstream impacts.
Smooth surfaces suppress localized impingement peaks, reducing roughness amplification.
Localized impingement promotes self-reinforcing roughness growth over time.
Abstract
The prediction of aircraft icing is conventionally performed using multishot simulation frameworks that fail to predict the progressive roughening of the ice surface. To understand roughness formation, we investigate droplet impingement on clean and laser-scanned rough ice shapes using a high-fidelity computational framework based on wall-modeled large-eddy simulations and Lagrangian particle tracking. This methodology is validated against experimental data for a NACA 23012 airfoil and a NACA 64A008 swept tail, accurately predicting collection efficiency and supercooled large droplet splashing. The framework is subsequently applied to laser-scanned rime ice geometries to quantify the impact of surface roughness on local impingement distributions. The results reveal that physical roughness induces a highly nonuniform collection efficiency, with droplet impingement intensely concentrated…
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