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Citations: Bibtex RefMan EndNote GB/T7714
Shaokai NIE, Pengfei LIU, Kexin CHEN, Wenyuan WANG, Yunmin CHEN, Bate BATE. Permeability of structured porous media: numerical simulations and microfluidic models[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2300516 @article{title="Permeability of structured porous media: numerical simulations and microfluidic models", %0 Journal Article TY - JOUR
结构化多孔介质的渗透性:数值模拟和微流控模型机构:1浙江大学,建筑工程学院,岩土工程研究所,中国杭州,310058;2浙江大学,建筑工程学院,超重力研究中心,中国杭州,310058;3浙江大学,软弱土与环境工程教育部重点实验室,中国杭州,310058 目的:精密流体在微流控结构中的流动规律还不明晰。本文旨在探究雷诺数、各向异性、迂曲度、孔隙度和微通道深度等对微流控模型渗透率的影响,进一步提出基于二维矩形或圆形微柱的迂曲度模型和渗透率预测模型,并将实验结果、数值模拟结果和渗透率预测模型进行比较,以补充流体流动规律。 创新点:1.通过分析实验数据与数值模拟结果,推导出适用于微流控模型渗透率的计算公式;2.通过考虑颗粒排列方式,推导出更符合实验数据的迂曲度公式。 方法:1.通过设计实验模型,探究微柱颗粒排列方式、微柱直径和孔隙率等因素对微流控模型渗透率的影响(图8、10和15);2.通过数值模拟,对实验模型进行仿真,进一步获取迂曲度值,并从微观层面解释不同模型渗透率差异的原因(图7、9和11);3.通过理论推导,考虑颗粒排列方式,提出迂曲度公式,并进一步提出适用于微流控模型的渗透率预测模型(图13和公式(23))。 结论:1.由旋转角表征的各向异性形成了优势流,降低了模型有效孔隙率,因此对模型渗透率影响较大;2.流态转变(达西流向福希海默流)的临界雷诺数为1;3.微流控芯片模型受孔隙率的影响最大,另外还受颗粒排列方式、微柱直径和形状等参数的影响。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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