论文标题
空气中彩带排放分支的定量建模
Quantitative modeling of streamer discharge branching in air
论文作者
论文摘要
流媒体排放是闪电和高压技术中空气电击穿的主要模式。彩带通道分支多次，这决定了发展中的树状排放结构。例如，了解这些分支结构对于描述闪电研究中的彩带冠状物很重要。我们使用3D流体模型在空气中模拟了阳性流媒体，其中将光电离作为离散和随机过程包括在内。分支的概率和形态与专门的实验非常吻合。这表明光电离确实提供了触发分支的噪声，我们表明分支对光电离的量非常敏感。因此，我们的比较是Zheleznyak的光电离世模型的首次敏感测试之一，证实了其有效性。
Streamer discharges are the primary mode of electric breakdown of air in lightning and high voltage technology. Streamer channels branch many times, which determines the developing tree-like discharge structure. Understanding these branched structures is for example important to describe streamer coronas in lightning research. We simulate branching of positive streamers in air using a 3D fluid model where photoionization is included as a discrete and stochastic process. The probability and morphology of branching are in good agreement with dedicated experiments. This demonstrates that photoionization indeed provides the noise that triggers branching, and we show that branching is remarkably sensitive to the amount of photoionization. Our comparison is therefore one of the first sensitive tests for Zheleznyak's photoionization model, confirming its validity.
