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首页> 外文期刊>International Journal of Multiphase Flow >Derivation of drag and lift force and torque coefficients for non-spherical particles in flows
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Derivation of drag and lift force and torque coefficients for non-spherical particles in flows

机译:流动中非球形粒子的推力和提升力以及扭矩系数的推导

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摘要

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.
机译:本文推导并验证了一个新的框架,该框架可以预测具有大范围Re和旋转Re数的流中四种非球形颗粒形状的阻力系数和升力系数以及扭矩系数。提出了与阻力,升力,俯仰转矩以及由粒子旋转引起的转矩的相关性。每个相关性都取决于Re数,无量纲旋转以及粒子与局部流体速度方向之间的入射角。通过对四种不同类型的粒子执行大量的“真实” DNS模拟,可以确定每种粒子形状的相关性中的拟合参数。真正的DNS模拟是使用改进的镜像沉浸边界方法进行的。力和转矩的相关结果适用于欧拉-拉格朗日模拟,其中需要精确预测力和转矩才能确定粒子的运动。

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