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基于分子动力学的凝聚模型在氨冷凝流 DSMC 模拟中的开发。

Development of a molecular dynamics-based coalescence model for DSMC simulations of ammonia condensate flows.

机构信息

Department of Aerospace Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.

出版信息

J Chem Phys. 2011 Mar 28;134(12):124306. doi: 10.1063/1.3561399.

Abstract

A coalescence model for homogeneous condensation of ammonia in supersonic expansions to vacuum has been developed using molecular dynamics trajectory calculations. The MD calculations show that the sticking probability increases as the ammonia cluster size increases or the cluster temperature decreases. In addition, the sensitivity of the sticking probability to cluster size decreases as the temperature decreases. Comparison of the Ashgriz-Poo semiempirical coalescence model with MD simulations show that for cluster sizes larger than 100 the former model may be used. To model homogeneous nucleation in an ammonia jet, direct simulation Monte Carlo (DSMC) simulations were performed for different stagnation pressure conditions using the MD simulation outcomes for smaller cluster-cluster collisions and the Ashgriz-Poo model for cluster sizes larger than 100. We found that, by including the combined coalescence model, the average cluster sizes and size distributions predicted by DSMC agree reasonably well with experiment.

摘要

已经开发出了一种用于超音速膨胀至真空条件下氨均匀凝结的聚并模型,该模型使用分子动力学轨迹计算。MD 计算表明,随着氨团簇尺寸的增加或团簇温度的降低,附着概率增加。此外,随着温度的降低,附着概率对团簇尺寸的敏感性降低。将 Ashgriz-Poo 半经验聚并模型与 MD 模拟进行比较表明,对于大于 100 的团簇尺寸,前者模型可能适用。为了对氨射流中的均匀成核进行建模,使用 MD 模拟较小团簇-团簇碰撞的结果和 Ashgriz-Poo 模型(大于 100 的团簇尺寸),针对不同的驻定压力条件,进行了直接模拟蒙特卡罗(DSMC)模拟。我们发现,通过包含组合聚并模型,DSMC 预测的平均团簇尺寸和尺寸分布与实验相当吻合。

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