Analytic expressions of neoclassical transport coefficients for fusion-born alpha particles in a tokamak reactor

Jhang, Hogun

doi:10.1063/1.873187

Cited by 1 publication

(1 citation statement)

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“…2.1 经典慢化分布经典慢化分布是指高能粒子与热背景等离子体碰撞导致高能粒子的经典减速形成的速度或能量分布, 它可以作为描述α粒子慢化过程的一种理论模型. 经典慢化分布的推导基于忽略速度扩散项和轨道效应的假设, 根据这个假设, 可以简化福克-普朗克方程, 得到如下式子 [16] :…”

Section: 经典慢化分布与Ptc模型unclassified

Numerical simulation of <inline-formula><tex-math id="Z-20231101091527">\begin{document}$\boldsymbol \alpha$\end{document}</tex-math><alternatives><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="21-20230700_Z-20231101091527.jpg"/><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="21-20230700_Z-20231101091527.png"/></alternatives></inline-formula> particle slowing-down process under CFETR scenario

Wu,

Wang,

Lin

et al. 2023

Acta Phys. Sin.

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The high-energy α particles generated by deuterium-tritium fusion are the primary heating source for maintaining high temperatures in future tokamak plasmas. Effective confinement of α particles is crucial for sustaining steady-state burning plasmas. The initial energy of α particles is 3.5MeV. According to theoretical calculations, it takes approximately 1 second to slow down α particles through Coulomb collisions to an energy range similar to that of the background plasma. During the slowing-down process, some α particles may be lost due to various transport processes. One significant research problem is how to utilize α particles to effectively heat fuel ions and sustain fusion reactions in a reactor. Assuming local Coulomb collisions and neglecting orbital effects, a classical slowing-down distribution for α particles can be derived. However, considering the substantial drift orbit width of α particles and the importance of spatial transport, numerical calculations are required to obtain more accurate α particle distribution functions. In this study, the Particle Tracer Code (PTC) was used to numerically simulate the slowing-down process of α particles under different scenarios in the Chinese Fusion Engineering Test Reactor (CFETR). By combining particle orbit tracing and Monte Carlo collision methods, the researchers obtained a more realistic α particle distribution function and compared it with the classical slowing-down distribution. The results revealed significant differences between this distribution function and the classical slowing-down distribution, particularly around moderate energies. Further analysis indicated that these disparities were primarily caused by the strong radial transport of α particles at these energy levels. The research findings hold profound implications for precise evaluation of α particles' capacity to heat the background plasma. Understanding and characterizing the behavior of α particles during the slowing-down process and their interaction with the plasma are critical for designing and optimizing future fusion reactors. By attaining a deeper comprehension of the spatial transport and distribution of α particles, it becomes possible to enhance the efficiency of fuel ion heating and sustain fusion reactions more effectively. This study establishes a foundation for subsequent investigations and advancements in leveraging the potential of α particles as a highly efficient heating source for fusion plasmas.

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