Abstract Drainage and diffusive coarsening are strongly interrelated mechanisms, which need to be studied in conjunction to acquire a thorough understanding of foam dynamics and stability. We show that microcomputed tomography (μ-CT) and pore network modeling (PNM) are valuable tools to characterize foam dynamics. Unlike existing technologies, the presented approach allows for the temporal and spatial measurement of Plateau border thickness and the volume of nodes, which are useful to study foam drainage. The coordination number of the nodes show a deviation from Plateau’s law as the foam becomes wetter. Additionally, the PNM results demonstrate a power-law relationship between permeability ( κ ) and liquid fraction ( Φ l ) with an exponent of 2.6, which aligns with a channel-dominated flow regime. Overall, the proposed methodology provides a novel means to examine relevant parameters that influence foam stability and would be a valuable tool to study existing models related to foam dynamics.

中文翻译：

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利用微计算机断层扫描和孔隙网络建模来表征泡沫动力学

摘要 排水和扩散粗化是密切相关的机制，需要结合研究才能彻底了解泡沫动力学和稳定性。我们表明显微计算机断层扫描 (μ-CT) 和孔隙网络建模 (PNM) 是表征泡沫动力学的宝贵工具。与现有技术不同，所提出的方法允许对高原边界厚度和节点体积进行时间和空间测量，这对于研究泡沫排水很有用。随着泡沫变湿，节点的配位数显示出与高原定律的偏差。此外，PNM 结果表明渗透率 (κ) 和液体分数 (Φ l ) 之间存在幂律关系，指数为 2.6，这与通道主导的流态一致。全面的，