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Modelling and Optimization of Electrode-less Helicon Plasma Thruster with Different Propellants

机译:不同推进剂的无电极螺旋等离子推进器建模与优化

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In the framework of the "Helicon Plasma Thruster for Space Missions - AO7048" research program, a zero-dimensional numerical model is developed in order to assess the propulsive performances of the plasma thruster when fed with different molecular gases as propellants. The zero-dimensional model developed consists of detailed kinetic schemes for bulk plasma reactions and surface processes; particle in cell simulations are performed to properly describe the behaviour of the charged particles at the exhaust plume so to obtain exhaust parameters for the global model. Given a set of input parameters, such as geometry and mass flow rate, the model is able to follow the time evolution of plasma main physical quantities, such as neutral and charge densities and the electron temperature, and to calculate thruster performances. The model is then linked to the genetic algorithm optimization toolbox in Matlab environment in order to obtain high performance configurations. Propellants considered are H_2, O_2, N_2 and N_2O.
机译:在“用于太空任务的螺旋等离子推进器-AO7048”研究计划的框架中,开发了一种零维数值模型,以评估当以不同分子气体作为推进剂进料时等离子推进器的推进性能。开发的零维模型包括用于本体等离子体反应和表面过程的详细动力学方案;在单元模拟中执行粒子模拟以正确描述排气羽中带电粒子的行为,从而获得整体模型的排气参数。在给定一组输入参数(例如几何形状和质量流率)的情况下,该模型能够跟踪等离子体主要物理量(例如中性和电荷密度以及电子温度)的时间演变,并计算推进器性能。然后将模型链接到Matlab环境中的遗传算法优化工具箱,以获得高性能配置。认为的推进剂是H_2,O_2,N_2和N_2O。

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