论文标题
随机光电离空气中阳性流式排放的3D流体建模
3D fluid modeling of positive streamer discharges in air with stochastic photoionization
论文作者
论文摘要
流媒体放电是在闪电和火花之前的薄等离子体通道。它们通常以随机树状结构的形式演变为捆绑，并且由于其多尺度而很难建模。在本文中，我们使用当代光电离模型对空气中的正面排放进行了计算机调查。我们在实验室火花隙实验中可用的条件下报告了三维计算机模拟。该解决方案表明了多尺度的形态，该形态包括流媒体的波动，分支和排放树的形成。有些分支相对较厚且嘈杂，而另一些分支则较薄，光滑，并且在他们的技巧上携带超过$ 250 \，\ textrm {kv/cm} $的电场。我们的结果与过去的实验一致，并阐明了阳性流媒体放电的令人困惑的分支动力学和随机形态。
Streamer discharges are thin plasma channels that precede lightning and sparks. They usually evolve in bundles as stochastic tree-like structures and are inherently difficult to model due to their multiscale nature. In this paper, we perform a computer investigation of positive streamer discharges in air using contemporary photoionization models. We report on three-dimensional computer simulations under conditions that are available in laboratory spark-gap experiments. The solutions demonstrate a multiscale morphology consisting of streamer fluctuations, branching, and the formation of a discharge tree. Some branches are comparatively thick and noisy, while others are thin, smooth, and carry electric fields exceeding $250\,\textrm{kV/cm}$ at their tips. Our results are consistent with past experiments and clarify the puzzling branching dynamics and stochastic morphology of positive streamer discharges.
