气流对滑动弧放电中放电行为及CO₂转化的影响
Influence of Flow on Discharge Behaviors and CO2 Conversion in Gliding Arc Discharges
AI总结：
本研究以滑动弧放电为对象，引入平均放电时间作为特征描述符，揭示其随雷诺数非线性下降的规律，建立电弧行为与流体动力学的关联，为等离子体反应器表征提供新手段。
AI中文摘要：
等离子体反应器是一种独特的电气化化工生产手段，尤其适用于将温室气体（如CO₂）转化为化学原料。滑动弧放电等热等离子体是一类不断发展的无催化剂等离子体反应器，具有高能量效率和可扩展性。本研究引入平均放电时间作为滑动弧动力学的特征描述符，直接从电压和电流波形中提取。通过高速摄影确定了不同等离子体行为（模式）的电信号，并评估了放电时间分布随雷诺数的变化。结果表明，平均放电时间随雷诺数呈非线性下降，建立了电弧行为与基础流体动力学之间的联系，而这一联系在传统反应器表征中被忽略。平均放电时间因此成为瞬态滑动弧动力学和稳定性的定量、原位描述符，提供了传统表征方法无法捕捉的放电行为见解。
英文摘要：
Plasma reactors present themselves as a unique means of electrified chemical production, particularly in the conversion of greenhouse gases (e.g., CO2) back into chemical feedstocks. Warm plasmas, such as gliding arc discharges, represent a growing class of catalyst-free plasma reactors that demonstrate high energy efficiency and scalability. Here, we introduce mean discharge time as a characteristic descriptor of gliding arc dynamics, extracted directly from voltage and current waveforms. Electrical signatures for distinct plasma behaviors (modes) were established using high-speed photography, and discharge time distributions were evaluated as a function of Reynolds number. Mean discharge time is shown to decrease non-linearly with Reynolds number, providing a link between arc behavior and underlying fluid dynamics, which is otherwise neglected in traditional reactor characterization. Mean discharge time thereby provides a quantitative, operando descriptor of transient gliding arc dynamics and stability, offering insight into discharge behavior that traditional characterization approaches do not capture.
