Saved in:
Bibliographic Details
Main Authors: Zhang, Huijie, Lippert, Anja, Leonhardt, Ronny, Tolle, Tobias, Nagel, Luise, Fricke, Mathis, Maric, Tomislav
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.09246
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911928328126464
author Zhang, Huijie
Lippert, Anja
Leonhardt, Ronny
Tolle, Tobias
Nagel, Luise
Fricke, Mathis
Maric, Tomislav
author_facet Zhang, Huijie
Lippert, Anja
Leonhardt, Ronny
Tolle, Tobias
Nagel, Luise
Fricke, Mathis
Maric, Tomislav
contents Preventing fluid penetration poses a challenging reliability concern in the context of power electronics, which is usually caused by unforeseen microfractures along the sealing joints. A better and more reliable product design heavily depends on the understanding of the dynamic wetting processes happening inside these complex microfractures, i.e. microchannels. A novel automated image processing procedure is proposed in this work for analyzing the moving interface and the dynamic contact angle in microchannels. In particular, the developed method is advantageous for experiments involving non-transparent samples, where extracting the fluid interface geometry poses a significant challenge. The developed method is validated with theoretical values and manual measurements and exhibits high accuracy. The implementation is made publicly available. The developed method is validated and applied to experimental investigations of forced wetting with two working fluids (water and 50 wt% glycerin/water mixture) in four distinct microchannels characterized by different dimensions and curvature. The comparison between the experimental results and molecular kinetic theory (MKT) reveals that the dynamic wetting behavior can be described well by MKT, even in highly curved microchannels. The dynamic wetting behavior shows a strong dependency on the channel geometry and curvature.
format Preprint
id arxiv_https___arxiv_org_abs_2403_09246
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Experimental study of dynamic wetting behavior through curved microchannels with automated image analysis
Zhang, Huijie
Lippert, Anja
Leonhardt, Ronny
Tolle, Tobias
Nagel, Luise
Fricke, Mathis
Maric, Tomislav
Fluid Dynamics
Preventing fluid penetration poses a challenging reliability concern in the context of power electronics, which is usually caused by unforeseen microfractures along the sealing joints. A better and more reliable product design heavily depends on the understanding of the dynamic wetting processes happening inside these complex microfractures, i.e. microchannels. A novel automated image processing procedure is proposed in this work for analyzing the moving interface and the dynamic contact angle in microchannels. In particular, the developed method is advantageous for experiments involving non-transparent samples, where extracting the fluid interface geometry poses a significant challenge. The developed method is validated with theoretical values and manual measurements and exhibits high accuracy. The implementation is made publicly available. The developed method is validated and applied to experimental investigations of forced wetting with two working fluids (water and 50 wt% glycerin/water mixture) in four distinct microchannels characterized by different dimensions and curvature. The comparison between the experimental results and molecular kinetic theory (MKT) reveals that the dynamic wetting behavior can be described well by MKT, even in highly curved microchannels. The dynamic wetting behavior shows a strong dependency on the channel geometry and curvature.
title Experimental study of dynamic wetting behavior through curved microchannels with automated image analysis
topic Fluid Dynamics
url https://arxiv.org/abs/2403.09246