# Planar Jet Stripping of Liquid Coatings: Numerical Studies

**Authors:** Wojciech Aniszewski, St\'ephane Zaleski, St\'ephane Popinet, Youssef, Saade

arXiv: 1907.07659 · 2019-07-18

## TL;DR

This study uses advanced numerical simulations to analyze liquid film formation and wiping by a planar jet in metal coating, revealing the importance of adaptive mesh refinement and challenging laminar flow assumptions for heavy coatings.

## Contribution

It demonstrates the effectiveness of grid-adaptive simulations in capturing multiscale liquid film dynamics and provides new insights into film atomization and flow regimes in metal coating processes.

## Key findings

- Adaptive mesh refinement is essential for accurate multiscale simulations.
- Laminar flow assumptions may not hold for heavy liquid coatings.
- Simulations provide detailed insights into film atomization and thickness during wiping.

## Abstract

In this paper, we present a detailed example of numerical study of flm formation in the context of metal coating. Subsequently we simulate wiping of the film by a planar jet. The simulations have been performed using Basilisk, a grid-adapting, strongly optimized code. Mesh adaptation allows for arbitrary precision in relevant regions such as the contact line or the liquid-air impact zone, while coarse grid is applied elsewhere. This, as the results indicate, is the only realistic approach for a numerical method to cover the wide range of necessary scales from the predicted film thickness (tens of microns) to the domain size (meters). The results suggest assumptions of laminar flow inside the film are not justified for heavy coats (liquid zinc). As for the wiping, our simulations supply a great amount of instantaneous results concerning initial film atomization as well as film thickness.

## Full text

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## Figures

20 figures with captions in the complete paper: https://tomesphere.com/paper/1907.07659/full.md

## References

49 references — full list in the complete paper: https://tomesphere.com/paper/1907.07659/full.md

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Source: https://tomesphere.com/paper/1907.07659