粘度比和表面润湿性对矩形沟道粘性指进不稳定性的影响

IF 1.5 4区 物理与天体物理 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Akhileshwar Singh, Deepak Kumar Singh, Yogesh Singh, Krishna Murari Pandey
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本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Viscosity Ratio and Surface Wettability on Viscous Fingering Instability in Rectangular Channel
This article reports the effects of viscosity ratio and surface wettability on immiscible viscous �ngering instability in the rectangular channel. A series of numerical investigations perform at various viscosity ratios (VR), i.e., VR ε (0.0009, 0.5), and, walls wettability ( θ ) i.e., θ ε (15°, 150°). The volume of �uid model (VOF) is used to capture the propagation of nger-shaped instability on the �uids interface. We �nd that, at a large viscosity ratio, displacement e�ciency will be more. And, necking formation is observed at low VR and it disappears at large VR. A nger-shaped pattern breaks into two parts at wettability, 15° and above this, it does not break. The wettability shifts from hydrophilic to superhydrophobic then necking disappears. Displacement e�ciency will be more for superhydrophobic wettability. It is observed that instability shifts the left side when wettability shifts from hydrophilic to hydrophilic. The �ndings of this article will be relevant to drug delivery, clinical process, and oil recovery.
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来源期刊
International Journal of Modern Physics C
International Journal of Modern Physics C 物理-计算机:跨学科应用
CiteScore
3.00
自引率
15.80%
发文量
158
审稿时长
4 months
期刊介绍: International Journal of Modern Physics C (IJMPC) is a journal dedicated to Computational Physics and aims at publishing both review and research articles on the use of computers to advance knowledge in physical sciences and the use of physical analogies in computation. Topics covered include: algorithms; computational biophysics; computational fluid dynamics; statistical physics; complex systems; computer and information science; condensed matter physics, materials science; socio- and econophysics; data analysis and computation in experimental physics; environmental physics; traffic modelling; physical computation including neural nets, cellular automata and genetic algorithms.
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