State Key Laboratory of Petroleum Resources and Engineering in China , University of Petroleum at Beijing , Beijing 102249 , P. R. China.
MOE Key Laboratory of Petroleum Engineering , China University of Petroleum (Beijing) , Beijing 102249 , P. R. China.
Langmuir. 2018 Jul 3;34(26):7714-7725. doi: 10.1021/acs.langmuir.8b01397. Epub 2018 Jun 22.
Understanding the capillary filling behaviors in nanopores is crucial for many science and engineering problems. Compared with the classical Bell-Cameron-Lucas-Washburn (BCLW) theory, anomalous coefficient is always observed because of the increasing role of surfaces. Here, a molecular kinetics approach is adopted to explain the mechanism of anomalous behaviors at the molecular level; a unified model taking account of the confined liquid properties (viscosity and density) and slip boundary condition is proposed to demonstrate the macroscopic consequences, and the model results are successfully validated against the published literature. The results show that (1) the effective viscosity induced by the interaction from the pore wall, as a function of wettability and the pore dimension (nanoslit height or nanotube diameter), may remarkably slow down the capillary filling process more than theoretically predicted. (2) The true slip, where water molecules directly slide on the walls, strongly depends on the wettability and will increase as the contact angle increases. In the hydrophilic nanopores, though, the magnitude may be comparable with the pore dimensions and promote the capillary filling compared with the classical BCLW model. (3) Compared with the other model, the proposed model can successfully predict the capillary filling for both faster or slower capillary filling process; meanwhile, it can capture the underlying physics behind these behaviors at the molecular level based on the effective viscosity and slippage. (4) The surface effects have different influence on the capillary filling in nanoslits and nanotubes, and the relative magnitude will change with the variation of wettability as well as the pore dimension.
理解纳米孔中的毛细填充行为对于许多科学和工程问题至关重要。与经典的贝尔-卡梅伦-卢卡斯-沃什本(BCLW)理论相比,由于表面作用的增加,总是会观察到反常系数。在这里,采用分子动力学方法从分子水平上解释反常行为的机制;提出了一个统一的模型,该模型考虑了受限液体的性质(粘度和密度)和滑移边界条件,以展示宏观后果,并且模型结果成功地与已发表的文献进行了验证。结果表明:(1)由于孔壁的相互作用引起的有效粘度,作为润湿性和孔尺寸(纳米狭缝高度或纳米管直径)的函数,可能会比理论预测显著减缓毛细填充过程。(2)真正的滑移,即水分子直接在壁上滑动,强烈依赖于润湿性,并随着接触角的增加而增加。然而,在亲水纳米孔中,其大小可能与孔尺寸相当,并与经典的 BCLW 模型相比,促进毛细填充。(3)与其他模型相比,所提出的模型可以成功地预测更快或更慢的毛细填充过程的毛细填充;同时,它可以根据有效粘度和滑移来捕捉这些行为背后的基本物理原理。(4)表面效应对纳米狭缝和纳米管中的毛细填充有不同的影响,并且相对大小会随着润湿性和孔尺寸的变化而变化。