首页> 外文会议>AIAA SciTech Forum;AIAA aerospace sciences meeting >Dissociation and energy transfer study of N_2(~1Σ_g~+)-N(~4S_u) and N_2(~1Σ_g~+)-N_2(~1Σ_g~+) interactions by using rovibrational and coarse-grained state-to-state models
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Dissociation and energy transfer study of N_2(~1Σ_g~+)-N(~4S_u) and N_2(~1Σ_g~+)-N_2(~1Σ_g~+) interactions by using rovibrational and coarse-grained state-to-state models

机译:N_2(〜1Σ_g〜+)-N(〜4S_u)和N_2(〜1Σ_g〜+)-N_2(〜1Σ_g〜+)相互作用的解离和能量转移

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The present work aims at studying dissociation and energy transfer in N_2(~1Σ_g~+)-N(~4S_u) and N_2(~1Σ_g~+)-Na(~1Σ_g~+) interactions by means of rovibrational and coarse-grained state-to-state models. Kinetic and thermodynamic data are taken from the database developed by the Computational Quantum Chemistry Group at NASA Ames Research Center. The coarse-grained models are developed by grouping the energy levels into bins where the population distribution is assumed Maxwell-Boltzmann at its own temperature. Different grouping strategies are investigated. The governing equations are obtained by taking the zeroth and first-order moments of the rovibrational master equations. The accuracy of the proposed models is tested against the rovibrational master equation solution for both flow quantities and population distributions. Applications to flows behind normal shock waves and isothermal chemical reactors demonstrate that average gas properties can be accurately predicted by adopting the proposed bin collisional models. It is also shown that a multi-temperature approach leads to an underprediction of dissociation, due to the inability of the former of accounting for the faster excitation of high-lying rotational and vibrational states.
机译:本工作旨在通过振动和粗粒态研究N_2(〜1Σ_g〜+)-N(〜4S_u)和N_2(〜1Σ_g〜+)-Na(〜1Σ_g〜+)相互作用下的离解和能量转移状态模型。动力学和热力学数据取自NASA Ames研究中心计算量子化学小组开发的数据库。粗粒度模型是通过将能级分组到bin中而得出的,在bin中假定人口分布是在其自身温度下的Maxwell-Boltzmann。研究了不同的分组策略。控制方程是通过获得振动主方程的零阶矩和一阶矩而获得的。针对流动量和总体分布,针对旋转主方程解对所提出模型的准确性进行了测试。在正常冲击波和等温化学反应器后面的流动中的应用表明,采用建议的箱式碰撞模型可以准确地预测平均气体性质。还显示出,由于前者不能考虑到高旋转和振动状态的更快激发,因此多温度方法导致离解的预测不足。

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