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首页> 外文期刊>Atomization and Sprays: Journal of the International Institutes for Liquid Atomization and Spray Systems >Computation of spray dynamics by moment transport equations II: application to calculation of a quasi-one-dimensional spray
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Computation of spray dynamics by moment transport equations II: application to calculation of a quasi-one-dimensional spray

机译:通过矩输运方程式计算喷雾动力学II:在准一维喷雾计算中的应用

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摘要

A new method for predicting spray dynamics was recently developed, called the maximum entropy moment closure (MEMC) model.In this article, we test the method on a simplified, quasi-one-dimensional spray problem to assess its viability. The governing equations of both the discrete and continuous phases are simplified to account for the flow geometry, and submodels are introduced to close the terms representing turbulence modification and momentum exchange between the phases. Results are presented for both a positive slip velocity and a negative slip velocity case, showing profiles of quantities of interest including expected number density, expected diameter, and expected droplet velocity. For comparison, a Lagrangian simulation was performed and in results are discussed in the context of the new model's results. It is found that the MEMC model is capable of accurately predicting low-order spray statistics using significantly less CPU time than a Lagrangian particle-tracking method. Although several significant issues remain to be addressed, to date the model shows promise as a potentially cost-effective, accurate alternative to present spray treatments.
机译:最近开发了一种用于预测喷雾动力学的新方法,称为最大熵矩闭合(MEMC)模型。在本文中,我们针对简化的准一维喷雾问题对该方法进行了测试,以评估其可行性。简化了离散相和连续相的控制方程,以解决流动几何问题,并引入子模型以封闭表示相之间湍流修正和动量交换的项。给出了正滑移速度和负滑移速度情况下的结果,显示了包括预期数量密度,预期直径和预期液滴速度在内的目标数量的分布图。为了进行比较,进行了拉格朗日模拟,并在新模型结果的背景下讨论了结果。已发现,与拉格朗日粒子跟踪方法相比,MEMC模型能够使用显着更少的CPU时间来准确预测低阶喷雾统计数据。尽管有几个重要的问题有待解决,但迄今为止,该模型显示出有望成为当前喷雾疗法潜在的经济有效,准确的替代方法。

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