A Monte Carlo collision model for the particle-in-cell method: applications to argon and oxygen discharges
A Monte Carlo collision model for the particle-in-cell method: applications to argon and oxygen discharges
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DOI：
10.1016/0010-4655(94)00171-w
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发表时间：
1995-05
影响因子：
6.3
通讯作者：
V. Vahedi;M. Surendra
中科院分区：
文献类型：
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作者：
V. Vahedi;M. Surendra
为了使用PIC模拟程序模拟碰撞等离子体和自持放电，有必要加入带电粒子和中性粒子之间的相互作用。在传统的蒙特卡罗方法中，每个粒子的碰撞时间或距离都是使用随机数来计算的。这个程序允许高效的算法，但与PIC模拟不兼容，在PIC模拟中，带电粒子的轨迹都在时间上同时积分。开发了一个包含零碰撞方法的蒙特卡罗碰撞(MCC)程序，作为对通常的PIC带电粒子方案的补充。我们还将介绍对Ar和O2放电的模拟结果，并将我们的Ar模拟结果与实验测量结果进行比较。
In order to use particle-in-cell (PIC) simulation codes for modeling collisional plasmas and self-sustained discharges, it is necessary to add interactions between charged and neutral particles. In conventional Monte Carlo schemes the time or distance between collisions for each particle is calculated using random numbers. This procedure allows for efficient algorithms but is not compatible with PIC simulations where the charged particle trajectories are all integrated simultaneously in time. A Monte Carlo collision (MCC) package including the null collision method has been developed, as an addition to the usual PIC charged particle scheme which will be discussed here. We will also present results from simulations of argon and oxygen discharges, and compare our argon simulation results with experimental measurements.