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A Hybrid Model to Predict Electron and Ion Distributions in Entire Interelectrode Space of a Negative Corona Discharge

机译:预测负电晕放电整个电极间空间中电子和离子分布的混合模型

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Atmospheric direct current (dc) corona discharge from thin wires or sharp needles has been widely used as an ion source in many devices such as photocopiers, laser printers, and electronic air cleaners. Existing numerical models to predict the electron distribution in the corona plasma are based on charge continuity equations and the simplified Boltzmann equation. In this paper, negative dc corona discharges produced from a thin wire in dry air are modeled using a hybrid model of modified particle-in-cell plus Monte Carlo collision (PIC-MCC) and a continuum approach. The PIC-MCC model predicts densities of charge carriers and electron kinetic energy distributions in the plasma region, while the continuum model predicts the densities of charge carriers in the unipolar ion region. Results from the hybrid model are compared with those from prior continuum models. Superior to the prior continuum model, the hybrid model is able to predict the voltage–current curve of corona discharges. The PIC-MCC simulation results also suggest the validity of the local approximation used to solve the Boltzmann equation in the prior continuum model.
机译:细线或锋利的针头产生的大气直流电(dc)电晕放电已被广泛用作复印机,激光打印机和电子空气净化器等许多设备中的离子源。现有的预测电晕等离子体中电子分布的数值模型基于电荷连续性方程和简化的玻耳兹曼方程。在本文中,使用改进的单元内粒子加蒙特卡罗碰撞(PIC-MCC)和连续介质方法的混合模型,模拟了干燥空气中细线产生的负直流电晕放电。 PIC-MCC模型预测等离子体区域中电荷载流子的密度和电子动能分布,而连续谱模型预测单极性离子区域中载流子的密度。将混合模型的结果与先前连续模型的结果进行比较。优于先前的连续模型,混合模型能够预测电晕放电的电压-电流曲线。 PIC-MCC仿真结果还表明,用于求解先验连续体模型中的Boltzmann方程的局部逼近的有效性。

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