2026-10-12T11:56:20Z https://www.scidb.cn/oai

10.57760/sciencedb.03994 2022-10-20T10:28:03Z

2022-10-20 Electrostatic Analysis and Preliminary Design of Transmission Line for the CRAFT NNBI Test Platform doi:10.57760/sciencedb.03994 en Based on the development of Experimental Advanced Superconducting Tokamak (EAST), Institute of Plasma Physics, Chinese Academy of Sciences (ASIPP) has launched the project of China Fusion Engineering Test Reactor (CFETR). In order to explore and master fusion DEMO level key technologies, build key prototype systems for CFETR, a Comprehensive Research Facility for Fusion Technology（CRAFT）is being established. Negative-ion based Neutral Beam Injectors (NNBI), as a one of important parts of CRAFT, can provide neutral beam with 200~400 keV beam energy and 2 MW beam power. Stable high voltage transmission is needed for the establishment and safe operation of NNBI. As one of the key components of high voltage transmission, transmission line (TL) plays an extremely important role. In this paper, four indexes, including the maximum electric field intensity ( Emax), the inner surface electric field intensity (Esur) of the electromagnetism interference screening (EMIS), the equivalent distributed capacitance ( Ceq ) and the electric field non-uniformity coefficient (f), are used to evaluate the electric field performance of TL. And the relationship between these indexes and the position of acceleration grid (AG) conductor, the position of extraction grid (EG) conductor and the radius of EMIS is obtained by finite element (FE) analysis. Under the requirements of Esur and f , in order to reduce the maximum electric field intensity in the TL and equivalent distributed capacitance of the TL, the layout position of the TL is determined, which lays some theoretical foundations for the engineering design of the TL. Negative-ion based Neutral Beam Injectors; Transmission Line; finite element analyses; electric field intensity; equivalent distributed capacitance Rixin Wang Caochan Jiang Xu Yongjian Yahong Xie Yuanlai Xie Chundong Hu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/ARTN 112259 10.1016/j.fusengdes.2021.112259 Science Data Bank