Capillary rise in porous, fibrous media during liquid immersion
نویسندگان
چکیده
منابع مشابه
Prediction of Time of Capillary Rise in Porous Media Using Artificial Neural Network (ANN)
An Artificial Neural Network (ANN) was used to analyse the capillary rise in porous media. Wetting experiments were performed with fifteen liquids and fifteen different powders. The liquids covered a wide range of surface tension ( 15.45-71.99 mJ/m2 ) and viscosity (0.25-21 mPa.s). The powders also provided an acceptable range of particle size (0.012-45 μm) and surface free...
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The anomalous dynamics of capillary rise in a porous medium discovered experimentally more than a decade ago [T. Delker et al., Phys. Rev. Lett. 76, 2902 (1996)] is described. The developed theory is based on considering the principal modes of motion of the menisci that collectively form the wetting front on the Darcy scale. These modes, which include (i) dynamic wetting mode, (ii) threshold mo...
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We examine the effects of capillarity and gravity in a model of one-dimensional imbibition of an incompressible liquid into a deformable porous material. We focus primarily on a capillary rise problem but also discuss a capillary/gravitational drainage configuration in which capillary and gravity forces act in the same direction. Models in both cases can be formulated as nonlinear free-boundary...
متن کاملprediction of time of capillary rise in porous media using artificial neural network (ann)
an artificial neural network (ann) was used to analyse the capillary rise in porous media. wetting experiments were performed with fifteen liquids and fifteen different powders. the liquids covered a wide range of surface tension ( 15.45-71.99 mj/m2 ) and viscosity (0.25-21 mpa.s). the powders also provided an acceptable range of particle size (0.012-45 μm) and surface free energy (25.54-...
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ژورنال
عنوان ژورنال: International Journal of Heat and Mass Transfer
سال: 2012
ISSN: 0017-9310
DOI: 10.1016/j.ijheatmasstransfer.2012.06.046