2015
DOI: 10.1016/j.ces.2015.07.009
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The fastest capillary penetration of power-law fluids

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Cited by 24 publications
(8 citation statements)
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References 36 publications
(51 reference statements)
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“…Later fractal modeling of fluids’ flows in porous random media [ 49 ], including transport through tree-like networks and diffusion on fractals [ 50 ] was widely used in oil recovery studies [ 51 ]. This modeling was supported by theoretical and experimental studies demonstrating that fluid’s flow through tree-like networks is faster [ 52 , 53 ].…”
Section: Geophysics: From Fractal To Tree-like Modelsmentioning
confidence: 79%
See 1 more Smart Citation
“…Later fractal modeling of fluids’ flows in porous random media [ 49 ], including transport through tree-like networks and diffusion on fractals [ 50 ] was widely used in oil recovery studies [ 51 ]. This modeling was supported by theoretical and experimental studies demonstrating that fluid’s flow through tree-like networks is faster [ 52 , 53 ].…”
Section: Geophysics: From Fractal To Tree-like Modelsmentioning
confidence: 79%
“…Finally, we remark that the tree-like structure of capillary networks is not only very common in nature, but recently they started to be artificially manufactured—to speed up fluid’s propagation (see [ 56 ] and references herein). This applied research is theoretically justified by the works of Shou et al [ 52 , 53 ] on the tree-like basis of acceleration of fluid’s flows (see also [ 57 ] on p -adic modeling). Such industrial applications stimulate p -adic (and more general ultrametric) modeling of fluids’ propagation in tree-like capillary networks.…”
Section: Navier—stokes Equation On Tree-like Configuration Space Amentioning
confidence: 92%
“…Theoretically, Shou & Fan (2015) had success studying non-Newtonian power-law fluids in different configurations of tubing networks and showed that the rising dynamics is influenced by the viscous and capillary forces while examining the conditions that ensure the quickest rise. Furthermore, using Stokesian dynamics, Kiradjiev, Breward & Griffiths (2019) mathematically analysed the viscous spreading of a -influenced liquid drop injected through a substrate and correlated the power-law injection time rate () with the film spreading.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, the graphene/h-BN heterostructure is a promising form to open up new possibilities in different fields. It is necessary to explore the application of heterostructures as substrates to drive the spontaneous movement of water droplets [40][41][42].…”
mentioning
confidence: 99%