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Progress of HL-2A Experiments and HL-2M Program

Nuclear Fusion(2022)SCI 1区

Southwestern Inst Phys | Gen Atom Co | CEA | Zhejiang Univ | Tsinghua Univ | Natl Inst Fus Sci | Univ Wisconsin | Dalian Univ Technol | Southwest Jiaotong Univ | Univ Sci & Technol China | Ctr Nonlinear Plasma Sci

Cited 52|Views16
Abstract
Since the last IAEA Fusion Energy Conference in 2018, significant progress of the experimental program of HL-2A has been achieved on developing advanced plasma physics, edge localized mode (ELM) control physics and technology. Optimization of plasma confinement has been performed. In particular, high-beta (N) H-mode plasmas exhibiting an internal transport barrier have been obtained (normalized plasma pressure beta (N) reached up to 3). Injection of impurity improved the plasma confinement. ELM control using resonance magnetic perturbation or impurity injection has been achieved in a wide parameter regime, including types I and III. In addition, impurity seeding with supersonic molecular beam injection or laser blow-off techniques has been successfully applied to actively control the plasma confinement and instabilities, as well as plasma disruption with the aid of disruption prediction. Disruption prediction algorithms based on deep learning are developed. A prediction accuracy of 96.8% can be reached by assembling a convolutional neural network. Furthermore, transport resulting from a wide variety of phenomena such as energetic particles and magnetic islands has been investigated. In parallel with the HL-2A experiments, the HL-2M mega-ampere class tokamak was commissioned in 2020 with its first plasma. Key features and capabilities of HL-2M are briefly presented.
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tokamak,HL-2A experiment,HL-2M program
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要点】:本文概述了HL-2A实验在高级等离子体物理、边缘局域化模态(ELM)控制以及等离子体约束优化方面的进展,并介绍了HL-2M项目的关键特征与能力。

方法】:通过优化等离子体参数、使用共振磁场扰动或杂质注入技术,以及应用深度学习算法进行等离子体稳定性控制和预测。

实验】:在HL-2A装置上进行了多种实验,实现了高β(N) H-mode等离子体,并使用深度学习算法实现了96.8%的等离子体破裂预测准确率;HL-2M装置于2020年完成调试并产生了首次等离子体。