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机构地区:[1]Institute of Aero‐Engine,School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an,China [2]School of Electrical Engineering,Xi'an Jiaotong University,Xi'an,China [3]Science and Technology of Plasma Dynamics Laboratory,Airforce Engineering University,Xi'an,China
出 处:《High Voltage》2023年第6期1168-1179,共12页高电压(英文)
基 金:supported by the National Natural Science Foundation of China(51907204);Natural Science Foundation of Shaanxi Province(2021JQ‐358).
摘 要:Spark is a widely studied plasma source for active species production;however,it ex-periences unstable transitions(e.g.to a thermal arc)at high frequencies or long pulse durations.In this study,the sparks generated in a pulse train were studied and modulated based on a physics‐corrected deep learning method.Our results show that a highly repeatable and stable spark plasma source can be achieved by automatically adjusting the voltage amplitude according to the discharge frequency in a high‐frequency pulse train within the time scale of the fluid response.The influences of the electron number density increasing mode and modulated driven voltage profiles on the energy efficiencies were also studied.
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