Derivation of drag and lift force and torque coefficients for non-spherical particles in flows
Derivation of drag and lift force and torque coefficients for non-spherical particles in flows
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DOI：
10.1016/j.ijmultiphaseflow.2011.09.004
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发表时间：
2012-03-01
影响因子：
3.8
通讯作者：
van Wachem, Berend
中科院分区：
文献类型：
--
作者：
Zastawny, Marian;Mallouppas, George;van Wachem, Berend
本文推导并验证了一个新的框架来预测阻力和升力系数，以及扭矩系数为四个非球形颗粒形状在一个流动的Re和旋转Re数范围很广的流动。相关性提出的阻力，升力，俯仰扭矩，和扭矩所造成的颗粒的旋转。每一个相关性取决于Re数，无量纲旋转和粒子之间的入射角和局部流体速度的方向。通过对四种不同类型的颗粒进行大量的"真实" DNS模拟来确定每个颗粒形状的相关性中的拟合参数。采用改进的镜像浸没边界法进行了真实DNS模拟。所得到的力和扭矩的相关性适合于在欧拉-拉格朗日模拟中使用，其中需要力和扭矩的准确预测来确定颗粒的运动。(C)2011爱思唯尔有限公司保留所有权利。
This paper derives and validates a new framework to predict the drag and lift coefficients as well as the torque coefficients for four non-spherical particle shapes in a flow with a wide range of flow Re and rotational Re numbers. Correlations are proposed for the drag force, the lift force, the pitching torque, and the torque caused by the rotation of the particle. Each of the correlations depends on Re number, the dimensionless rotation and the angle of incidence between the particle and the direction of the local fluid velocity. The fit parameters in the correlations for each of the particle shapes are determined by performing a large number of "true" DNS simulations of four different types of particles. The true DNS simulations are carried out with an improved mirroring immersed boundary method. The resulting correlations for the forces and the torques are suitable to be used in Eulerian-Lagrangian simulations, where an accurate prediction of the forces and torques is required to determine the motion of the particles. (C) 2011 Elsevier Ltd. All rights reserved.