基于朗缪尔探针诊断的螺旋波等离子体源放电实验研究OA
A Study of Helicon Wave Plasma Source Discharge Based on Langmuir Probe Diagnostics
针对螺旋波等离子体源放电机理复杂、放电特性不明确的问题,采用射频补偿朗缪尔探针诊断方法,系统研究了氩气、氦气和氮气等工质气体放电特征,以及磁场强度、射频功率和气体压力对氩气放电特性的影响.实验结果表明,氩气在放电强度和离子密度方面表现最优,更适用于电推进系统;磁场是实现感性放电向波耦合模式转换的必要条件;在特定参数下(0.40 Pa、200 G),氩气放电在600 W功率附近发生H-W模式转换,且在波模式下离子密度能够达到1018 m-3量级;适当增加放电气体压力,可以提高功率耦合效率,提高放电强度,但当压力增加到一定程度,离子密度增加趋势变缓甚至达到饱和状态.结论表明,螺旋波放电模式转换与外部参数密切相关,该研究为揭示其物理机制及推进器应用提供了实验依据.
Aimed at the problems that discharge mechanisms are complex and discharge characteristics of helicon wave plasma sources are unclear,this paper systematically investigates the discharge characteristics of working gases such as argon,helium,and nitrogen,as well as the effects of magnetic field strength,RF power,and gas pressure on argon discharge properties by the RF-compensated Langmuir probe diagnostic method.The experimental results indicate that argon exhibits optimal performance in terms of discharge intensity and ion density,making it more suitable for electric propulsion systems.A magnetic field is neces-sary for the transition from inductive discharge to wave-coupled mode.Under condition of specific parame-ters(0.40 Pa,200 G),there undergoes a H-W mode transition 600 W around in the process of argon dis-charge,with ion density reaching the order of 1018 m-3 in the wave mode.Although appropriately increas-ing the discharge gas pressure can enhance power coupling efficiency and discharge intensity,yet when the pressure exceeds a certain level,the increase in ion density slows down or even saturates.The conclusions demonstrate that the mode transition in helicon discharge is closely related to external parameters,and this study provides experimental evidence for elucidating its physical mechanisms and propulsion applications.
段朋振;苏晓璐;谢平;李益文
空军工程大学航空机务士官学校,河南信阳,464000空军工程大学航空机务士官学校,河南信阳,464000空军工程大学航空机务士官学校,河南信阳,464000空军工程大学航空动力系统与等离子体技术全国重点实验室,西安,710038
航空航天
螺旋波等离子体放电朗缪尔探针诊断氩气
helicon waveplasma dischargelangmuir probe diagnosisargon
《空军工程大学学报》 2026 (2)
27-34,8
陕西省科技创新团队基金(2023-CX-TD-22)全国重点实验室基金(6142202210307)
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