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首页> 外文期刊>Journal of nanoscience and nanotechnology >Research on Relative Permeability of Nanofibers with Capillary Pressure Effect by Means of Fractal-Monte Carlo Technique
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Research on Relative Permeability of Nanofibers with Capillary Pressure Effect by Means of Fractal-Monte Carlo Technique

机译:用Fractal-Monte Carlo技术研究纳米纤维含有毛细管压力效应的相对渗透性研究

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摘要

The relative permeability of porous nanofibers is simulated by means of Fractal-Monte Carlo technique. The present probability model is found to be a function of saturation, porosity, area fractal dimension for pores, the fractal dimension of tortuous capillaries, capillary pressure and microstructural parameters of porous nanofibers. It is found that the relative permeability of wetting phase increases with increasing the saturation of the wetting phase. On the contrary, it can be observed that the relative permeability of non-wetting phase increases with decreasing the saturation of the wetting phase. The model predictions are compared with the available experimental data, and good agreement between the model predictions and experimental data is found. The validity of the proposed probability model is thus verified. Therefore, the present probability model has revealed the physical mechanisms of relative permeability in porous nanofibers.
机译:通过分形蒙特卡罗技术模拟多孔纳米纤维的相对渗透性。 发现本概率模型是饱和度,孔隙率,面积分形尺寸的函数,折衷毛细血管的分形尺寸,毛细血管的毛细管压力和微观结构参数的多孔纳米纤维。 发现润湿相的相对渗透率随着润湿相的饱和而增加。 相反,可以观察到非润湿相的相对渗透性随着润湿相的饱和而增加。 将模型预测与可用的实验数据进行比较,并且找到模型预测和实验数据之间的良好一致性。 因此验证了所提出的概率模型的有效性。 因此,本概率模型揭示了多孔纳米纤维中相对渗透性的物理机制。

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