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Numerical prediction on deposition of micro-particulate matter in turbulent channel flows

机译:湍流通道中微细颗粒沉积的数值预测

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A direct numerical simulation of Navier-Stokes equation coupled to the Lagrangian tracking of individual particles was used to predict the dispersion of deposited micro-particulate matter in turbulent channel flows on the walls. The different interaction conditions between particles and walls were considered for particles with Stokes numbers ranging from 0.1 to 10(4). The particle deposition rates were predicted accurately because of the accurate calculation of turbulence and particle dispersion. It was found the interaction between the turbulent particles and the walls determined the re-entrainment mechanism of inertial particles away from the wall. The dispersion of deposition of particles were independent of the wall conditions in the partial diffusional and whole diffusion-impaction regime, consistent with a log-log law with particle Stokes number, which was found to be V-dep(+) = 4: 57 x 10(-4)tau(p)+(1.82). The deposition rate decreased with decreasing adhesion of the wall in the inertia-moderated regime. The present results may be helpful for establishing and evaluating accurate prediction models of micro-particle deposition rates in various engineering applications.
机译:Navier-Stokes方程的直接数值模拟与单个粒子的拉格朗日跟踪耦合,用于预测壁上湍流通道中沉积的微颗粒物质的分散。对于斯托克斯数为0.1到10(4)的粒子,考虑了粒子与壁之间的不同相互作用条件。由于湍流和颗粒扩散的精确计算,可以准确预测颗粒沉积速率。发现湍流颗粒与壁之间的相互作用决定了惯性颗粒离开壁的重新夹带机制。在部分扩散和整个扩散-撞击状态下,颗粒沉积的分散与壁条件无关,这与具有颗粒斯托克斯数的对数-对数定律一致,发现该对数定律为V-dep(+)= 4:57 x 10(-4)tau(p)+(1.82)。在惯性调节状态下,沉积速率随着壁的粘附性降低而降低。目前的结果可能有助于建立和评估各种工程应用中的微粒沉积速率的准确预测模型。

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