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Numerical simulations of the plumes of electric propulsion thrusters.

机译:电动推进器羽流的数值模拟。

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The plumes of two electric propulsion thrusters are simulated using a computer code which combines the direct simulation Monte Carlo (DSMC) and the Particlein-Cell (PIC) techniques. The DSMC method used for rarefied gas flow problems is described. The PIC method used to simulate the plasma behavior in the plume is also described. A discussion of the assumptions and the physical models used for the plasma dynamics is included. Details of the collision models are also discussed. Computational techniques permit the physical models and collision models in the simulations to be examined. These techniques include a particle weighting scheme and a routine for simulating expansion into a finite background pressure. Both techniques address resolution problems which occur when species have large differences in density.; The simulations capture the plume behavior qualitatively. The sensitivity of the plume profile to various physical assumptions and flow conditions is examined. Comparisons with available experimental data reveal which assumptions are valid and which quantities are insensitive to the uncertainties. The electron temperature and its variation in the plume are important features which affect the ion profile. Many of the simulations show good agreement with much of the data. Simulations which include the full chamber of the experimental facility in which the data were obtained lead to good agreement with the data from the centerline to large angles in the thruster back flow region. This level of agreement is not found if the background pressure of the vacuum chamber is not included in the simulations. Discrepancies between the simulations and the experimental data indicate areas where the modeling needs improvement.
机译:使用计算机代码对两个电动推进器的羽流进行了模拟,该代码结合了直接模拟蒙特卡洛(DSMC)和粒子细胞(PIC)技术。描述了用于稀有气体流动问题的DSMC方法。还介绍了用于模拟羽流中等离子体行为的PIC方法。包括对用于等离子体动力学的假设和物理模型的讨论。还讨论了碰撞模型的详细信息。计算技术允许检查仿真中的物理模型和碰撞模型。这些技术包括粒子加权方案和用于模拟扩展到有限背景压力的例程。两种技术都解决了在物种密度差异很大时出现的分辨率问题。仿真定性地捕获了羽流行为。检查了羽状轮廓对各种物理假设和流动条件的敏感性。与现有实验数据的比较揭示了哪些假设有效,哪些数量对不确定性不敏感。电子温度及其在羽流中的变化是影响离子分布的重要特征。许多仿真显示出与许多数据的良好一致性。在实验设备的整个腔室中进行的模拟(在该腔室中获得了数据)可以与推进器回流区域中从中心线到大角度的数据保持良好的一致性。如果模拟中未包含真空室的背景压力,则无法找到此一致性水平。仿真和实验数据之间的差异表明建模需要改进的地方。

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