Up and down shift effect in multidimensional implementation of FEM in full wave codes for ICRH

Abstract Ion cyclotron resonance heating (ICRH) plays a crucial role in magnetic confinement nuclear fusion, enhancing plasma temperature and enabling sustained fusion reactions. Full wave simulations in the ion cyclotron range of frequency are essential for exploring heating mechanisms and guiding experiments. This paper focuses on the development and application of a finite element method (FEM) based full wave simulation code, INTFLUK, which incorporates the poloidal magnetic field to account for the up and down shift effect of the parallel wave number. The code’s superiority lies in its ability to handle complex antenna structures and irregular boundaries, saving computational resources and reducing calculation time. The paper presents the physical model of INTFLUK, including the poloidal magnetic field, and demonstrates its application through tests on the EAST and China Fusion Engineering Test Reactor tokamak. The results show that INTFLUK effectively captures the up–down asymmetry of the electric field and the mode conversion between fast waves and slow ion cyclotron waves. Comparisons with the TORIC code validate the accuracy of INTFLUK in simulating these effects, with integral power partition errors less than 10%. The findings highlight the importance of considering the poloidal magnetic field and spatial dispersion effects in FEM based full wave simulation code for ICRH, advancing the understanding and application of ICRH in fusion research.

Authors

Institutions

Publication Details

Journal
Plasma Physics and Controlled Fusion
Published
2025-03-19
DOI
https://doi.org/10.1088/1361-6587/adc2cf
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Up and down shift effect in multidimensional implementation of FEM in full wave codes for ICRH

Lunan Liu, Chengming Qin, shijie chen, Hua Yang et al.
Plasma Physics and Controlled Fusion
Engineering Applied Research
article

Up and down shift effect in multidimensional implementation of FEM in full wave codes for ICRH

Lunan Liu, Chengming Qin, shijie chen, Hua Yang, Jiahui Zhang, Xinjun Zhang, Yong Yang, Wei Zhang
article en

Abstract

Abstract Ion cyclotron resonance heating (ICRH) plays a crucial role in magnetic confinement nuclear fusion, enhancing plasma temperature and enabling sustained fusion reactions. Full wave simulations in the ion cyclotron range of frequency are essential for exploring heating mechanisms and guiding experiments. This paper focuses on the development and application of a finite element method (FEM) based full wave simulation code, INTFLUK, which incorporates the poloidal magnetic field to account for the up and down shift effect of the parallel wave number. The code’s superiority lies in its ability to handle complex antenna structures and irregular boundaries, saving computational resources and reducing calculation time. The paper presents the physical model of INTFLUK, including the poloidal magnetic field, and demonstrates its application through tests on the EAST and China Fusion Engineering Test Reactor tokamak. The results show that INTFLUK effectively captures the up–down asymmetry of the electric field and the mode conversion between fast waves and slow ion cyclotron waves. Comparisons with the TORIC code validate the accuracy of INTFLUK in simulating these effects, with integral power partition errors less than 10%. The findings highlight the importance of considering the poloidal magnetic field and spatial dispersion effects in FEM based full wave simulation code for ICRH, advancing the understanding and application of ICRH in fusion research.

Plasma Physics and Controlled FusionVol. 67(4)
Xidian University (CN), Chinese Academy of Sciences (CN), Institute of Plasma Physics (CN), Wuxi Institute of Technology (CN)
National Natural Science Foundation of China, Postdoctoral Research Foundation of China
Openalex Percentile: Top 94%
Engineering Applied Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.