Progress of the RF negative hydrogen ion source for fusion at HUST

Chen ZUO; Peng CHEN; Zengshan LI; Jinghan YANG; Fei SONG; Dezhi CHEN

doi:10.1088/2058-6272/aca581

Plasma Science and Technology > 2022 > 24(12): 124012. > DOI: 10.1088/2058-6272/aca581

Chen ZUO, Peng CHEN, Zengshan LI, Jinghan YANG, Fei SONG, Dezhi CHEN. Progress of the RF negative hydrogen ion source for fusion at HUST[J]. Plasma Science and Technology, 2022, 24(12): 124012. DOI: 10.1088/2058-6272/aca581

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Progress of the RF negative hydrogen ion source for fusion at HUST

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China

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Corresponding author:
Chen ZUO, E-mail: zuochen@hust.edu.cn
Received Date: September 02, 2022
Revised Date: November 21, 2022
Accepted Date: November 22, 2022
Available Online: December 05, 2023
Published Date: December 13, 2022

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Abstract

Abstract

Huazhong University of Science and Technology has developed an experimental setup of a radio frequency (RF) driven negative hydrogen ion source, to investigate the physics of production and extraction of the H^- ions for neutral beam injection in nuclear fusion reactors. The main design parameters of the ion source are: RF power ≤40 kW; extraction voltage ≤10 kV; accelerator voltage ≤20 kV. This paper gives an overview of the progress of the ion source with particular emphasis on some issues. The RF driver and source plasma are analyzed and optimized in terms of impedance matching, plasma characteristics and power coupling. In regard to the simulation analysis, a plasma model based on the particle-in-cell method and a beam trajectory model considering beam stripping loss are developed to investigate the plasma and negative ions transport inside the ion source. Furthermore, a collisional radiative model of H and H₂ is built for plasma optical diagnosis.
- negative ion sources,
- radio frequency (RF),
- particle-in-cell (PIC),
- beam simulation

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Acknowledgments

This work was supported by the National Key R & D Program of China (No. 2017YFE0300105), National Natural Science Foundation of China (Nos. 11775088 and 12005074) and the Fundamental Research Funds for the Central Universities, HUST (No. 2021XXJS013).

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