Pore‐Scale Visualization and Quantification of Dissolution in Microfluidic Rough Channels

溶解 平滑的 传质 材料科学 表面粗糙度 表面光洁度 微尺度化学 扩散 化学物理 矿物学 机械 地质学 化学工程 化学 计算机科学 冶金 复合材料 热力学 物理 数学 工程类 数学教育 计算机视觉
作者
Chen‐Xing Zhou,Ran Hu,Hongwei Li,Zhibing Yang,Yi‐Feng Chen
出处
期刊:Water Resources Research [Wiley]
卷期号:58 (11) 被引量:12
标识
DOI:10.1029/2022wr032255
摘要

Abstract The dissolution dynamics of rough channels is a fundamental issue involved in widening fracture channels (cavity evolution), solution mining, and upscaling of dissolution rate. Previous studies have focused on the dissolution patterns at the sample scale, but the study of rough surface evolution at the pore scale is lacking. Here, we fabricate a soluble microfluidic chip with rough channels to investigate pore‐scale dissolution dynamics. Through direct, real‐time imaging of dissolution processes together with micro‐PIV measurements, we observe two distinct dissolution patterns and the roughness smoothing effect. The smoothing effect is characterized by the disappearance of small‐scale peaks and the rapid decline of the surface roughness factor. We demonstrate that this smoothing effect is attributed to the heterogeneous dissolution rates resulting from surface roughness. Through micro‐PIV measurements, we quantify that the roughness smoothing significantly affects the local mass transfer rate by modifying local flow velocity at the scale of 200 μm and by shrinking the diffusion zone (including eddy) at the scale of 2 mm, accelerating the mass transfer rate between diffusion and main flow zones. Due to the smoothing effect, the enhanced local mass transfer rate eventually intensifies the overall dissolution rate. Finally, we provide a theoretical prediction for the transition of two dissolution patterns, which agrees well with experimental observation. Our work develops a useful tool for studying the pore‐scale dissolution behavior in 2D rough channels and improves our understanding of how the pore‐scale dissolution behavior affects the overall dissolution rate and dissolution patterns.
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