首页> 外文期刊>International Communications in Heat and Mass Transfer >AN EFFICIENT LAGRANGIAN TRAJECTORY MODEL FOR PREDICTING COMPLEX TURBULENT TWO-PHASE FLOWS USING THE CURVILINEAR COORDINATES
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AN EFFICIENT LAGRANGIAN TRAJECTORY MODEL FOR PREDICTING COMPLEX TURBULENT TWO-PHASE FLOWS USING THE CURVILINEAR COORDINATES

机译:利用曲线坐标预测复杂湍流两相流的有效拉格朗日轨迹模型

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摘要

In this article, a numerical procedure is developed to extend the SPEED (Stochastic-Probabilistic Efficiency Enhanced Dispersion) model to the non-orthogonal curvilinear coordinates for the efficient prediction of dispersed turbulent two-phase flows with complex geometries. The partial-transformation approach using the Cartesian velocity vectors is employed to compute the fluid and dispersed flow fields. The Lagrangian trajectory model accounts for both the stochastic and probabilistic effects of discrete particle dispersion induced by fluid turbulence. A robust numerical algorithm is developed to determine the probability distribution in irregular Eulerian control volumes. The extended SPEED model is validated against a 90 deg turbulent bend flow laden with solid particles. It is found that the computational efficiency is greatly enhanced by using a very fewer number of particle trajectories than the conventional stochastic model while achieving the noise-free computational results.
机译:在本文中,开发了一种数值程序以将SPEED(随机概率效率增强的色散)模型扩展到非正交曲线坐标,以有效地预测具有复杂几何形状的分散湍流两相流。使用笛卡尔速度矢量的部分转换方法用于计算流体和分散流场。拉格朗日轨迹模型考虑了流体湍流引起的离散粒子离散的随机和概率效应。开发了鲁棒的数值算法来确定不规则欧拉控制量中的概率分布。扩展的SPEED模型针对充满固体颗粒的90度湍流折弯流进行了验证。已经发现,通过使用比常规随机模型少得多的粒子轨迹,可以大大提高计算效率,同时实现无噪声的计算结果。

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