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Hypersonic Boundary Layers: Oxygen Recombination on SiO2 Starting from Ab Initio Coefficients

机译:高超音速边界层:从头算系数开始的SiO2上的氧复合

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InN A recent work [1], different models of diffusive qwRec andnFourier qF components of the heat transfer on a body undernhypersonic nitrogen flow conditions have been investigated. Innparticular, the ground vibrational state (GVS)model assumes that allnthe molecules desorbed from the surface are in their ground vibra-ntional state, the last vibrational state (LVS) model assumes that thendesorbed molecules are in the last vibrational level of the vibrationalnladder, and the more realistic diffuse vibrational state (DVS) modelnconsiders a spread of the recombination energy in the wholenmolecular ladder. The results for the N2-N mixture strongly dependnon the used model as well as on the inclusion of the state-to-statenkinetics in gas phase. In particular, the importance of gas surfacenmolecular dynamics (MD) in deriving the state-selected recom-nbination coefficients as a tool to pass from a phenomenological to anquantitative description of the phenomenon has been stressed. Thenaim of this Note is to use recent molecular dynamic calculations ofnstate-selected recombination coefficients of atomic oxygen on anu0005-cristobalite surface for assessing the qualitative results discussednin [1], even if in the case of a different mixture, i.e., O2-O instead ofnN2-N. The new state-selected recombination coefficients representnan improvement with the respect of the corresponding ones reportednin [2] for a surface temperature of 1000 K and a novelty for a surfacentemperature of 1600 K.
机译:在最近的工作[1]中,研究了在非人为氮流条件下,人体传热的扩散qwRec和nFourier qF分量的不同模型。特别是,地面振动状态(GVS)模型假定从表面解吸的所有分子都处于其地面振动状态,最后一个振动状态(LVS)模型假定随后解吸的分子处于振动梯子的最后一个振动水平,并且更现实的扩散振动状态(DVS)模型考虑了复合能量在整个分子梯中的扩散。 N2-N混合物的结果在很大程度上取决于所使用的模型以及气相中状态对状态运动学的包含。特别是,强调了气体表面分子动力学(MD)在推导状态选择重组系数作为从现象学到定量描述这一现象的工具方面的重要性。本注释的目的是使用最近的分子动力学计算来计算anu0005-方石英表面上原子氧的n状态选择的复合系数,以评估[1]中讨论的定性结果,即使在不同混合物的情况下,也就是用O2-O代替ofnN2-N。新的状态选择重组系数相对于[n]在[2]中报道的表面温度为1000 K的相应系数和在表面温度为1600 K的新颖性方面均代表了改进。

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