Drag correlations for particles of regular shape
Drag correlations for particles of regular shape
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DOI：
10.1163/1568552054194221
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发表时间：
2005
影响因子：
5.2
通讯作者：
H. Yow;M. Pitt;A. Salman
中科院分区：
文献类型：
--
作者：
H. Yow;M. Pitt;A. Salman
摘要建立了颗粒球度和雷诺数对阻力系数影响的显式方程。实验数据从广泛的来源获得，包括各种形状，包括球体，立方体八面体，八面体，立方体，四面体，圆盘，圆柱体，矩形平行六面体等。所有这些数据都在一定的物理和运动学条件范围内分组;球度范围为0.006-1，雷诺数范围为10 −2至10 5。从表格中，阻力系数的公式，并提出了基于Kaskas方程。方程中的常数由最小二乘法确定，计算的总精度约为97%。对常数的操作允许提出三个相应的通用方程。利用这些方程，根据颗粒的球形度和雷诺数预测颗粒的阻力系数将变得简单、容易和快速。
Abstract Explicit equations are developed to characterize the effects of sphericity and Reynolds number of a particle on its drag coefficient. Experimental data are obtained from a wide range of sources, embracing various shapes including spheres, cube octahedrons, octahedrons, cubes, tetrahedrons, discs, cylinders, rectangular parallelepipeds and others. All these data are grouped within certain ranges of physical and kinematic conditions; sphericity range of 0.006-1 and Reynolds number range of 10 −2 to 10 5 . From the tabulations, equations for drag coefficient are developed and proposed based on the Kaskas equation. The constants in the equations are determined by the least-squares method and the calculated overall accuracy is approximately 97%. Manipulation of the constants allows three respective general equations to be proposed. Using these equations, prediction of drag coefficient of a particle based on its sphericity and Reynolds number would be simpler, easier and faster.