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基于计算流体动力学软件Fluent建立了一个二维DNS模型,研究了多孔介质中的流动阻力和压降.模拟时对填充的圆柱粒子采用了2种几何排列方式,即直排和叉排.DNS直排模型的压差为53.5Pa,接近于采用原始系数A=150,B=1.75的尔格方程计算结果55.6Pa.叉排模型的压差为65.1Pa,接近于采用修正系数A=180,B=1.80的尔格方程计算结果62.1Pa.对于真实多孔介质材料的模拟来说,圆柱形粒子叉排比直排更为准确.因此DNS结果确认了修正系数组(A=180,B=1.80)比原始系数组(A=150,B=1.75)更适合尔格方程模型.应用文中推荐的DNS方法,通过采用不同的粒子几何排列方式、填充不同形状的粒子可以进一步地预测尔格方程系数或改善其他的多孔介质模型.
Based on the computational fluid dynamics software Fluent, a two-dimensional DNS model was established to study the flow resistance and pressure drop in porous media. Two kinds of geometrical arrangement were adopted for the filled cylindrical particles, The pressure drop of in-line model is 53.5Pa, which is close to 55.6Pa calculated by Earl’s equation with original coefficient A = 150 and B = 1.75. The pressure difference of fork-row model is 65.1Pa, which is close to the correction coefficient A = 180, B = 1.80 Ergunov equation 62.1Pa. For the simulation of real porous media, the cross-section of the cylindrical particles is more accurate than the straight-line ones, so the DNS results confirm that the set of correction coefficients (A = 180, B = 1.80) Coefficient sets (A = 150, B = 1.75) are more suitable for the Engel’s equation model. By applying the DNS method proposed in this paper, we can further predict the Earl’s equation coefficients or improve other porous structures by using different particle geometric arrangements and filling different shapes of particles Media model.