通过自动化图像分析开展弯曲微通道内动态润湿行为的实验研究
Experimental study of dynamic wetting behavior through curved microchannels with automated image analysis
AI总结：
针对电力电子密封微裂纹内流体渗透的可靠性问题，提出一种可分析非透明样品微通道内动态润湿的高精度自动化图像处理方法，验证了分子动力学理论对高曲率微通道润湿行为的描述有效性。
摘要：
在电力电子领域，防止流体渗透是一项颇具挑战性的可靠性难题，该问题通常由密封接缝处突发的微裂纹引发。更优质、更可靠的产品设计很大程度上依赖于对这些复杂微裂纹（即微通道）内部发生的动态润湿过程的理解。本文提出了一种新型自动化图像处理流程，用于分析微通道内的运动界面和动态接触角。特别地，该方法对涉及非透明样品的实验具有优势——此类实验中提取流体界面几何形状存在极大难度。该方法已通过理论值和手动测量验证，展现出高精度，其实现代码已公开。研究人员验证了该方法，并将其应用于两种工作流体（水和50 wt%甘油/水混合物）在四种尺寸、曲率各异的不同微通道内的强制润湿实验研究。实验结果与分子动力学理论（MKT）的对比表明，即使在高曲率微通道中，MKT也能很好地描述动态润湿行为，且动态润湿行为对通道几何形状和曲率有很强的依赖性。
英文摘要：
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.
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