English

Development of a Reduced Multi-Fluid Equilibrium Model and Its Application to Proton-Boron Spherical Tokamaks

Plasma Physics 2026-02-11 v1

Abstract

Proton-Boron fusion requires extreme ion temperatures and robust confinement, making Spherical Tokamaks (ST) with high-power neutral beam injection primary candidates. In these devices, strong toroidal rotation and the large mass disparity between protons and boron ions drive complex multi-fluid effects - specifically centrifugal species separation and electrostatic polarization - that standard single-fluid magnetohydrodynamic (MHD) models fail to capture. While comprehensive multi-fluid models are often numerically stiff, we develop a reduced model balancing physical fidelity with computational robustness. By retaining dominant toroidal rotation and self-consistent potential while neglecting poloidal inertia and pressure anisotropy, the model couples a generalized Grad-Shafranov equation with species-specific Bernoulli relations and a quasi-neutrality constraint. The model is applied to two representative p-B ST configurations: the experimental EHL-2 and reactor-scale EHL-3B. Simulation results demonstrate that equilibrium modifications are governed by the ion Mach number (MM). In the low-rotation regime (M<0.5M < 0.5), multi-fluid effects are weak and solutions approach the single-fluid limit. However, at M>2M > 2, strong centrifugal forces drive significant boron accumulation at the low-field side (LFS) and generate an internal electrostatic potential on the order of 10 kV. These findings confirm the necessity of multi-fluid modeling for accurate p-11^{11}B reactor design and establish a theoretical foundation for future investigations into stability, transport, and free-boundary dynamics.

Keywords

Cite

@article{arxiv.2602.09205,
  title  = {Development of a Reduced Multi-Fluid Equilibrium Model and Its Application to Proton-Boron Spherical Tokamaks},
  author = {Huasheng Xie and Xingyu Li and Jiaqi Dong and Zhiwei Ma and Yunfeng Liang and Yuejiang Shi and Wenjun Liu and Yueng-Kay Martin Peng and Lai Wei and Zhengxiong Wang and Hanyue Zhao},
  journal= {arXiv preprint arXiv:2602.09205},
  year   = {2026}
}

Comments

11 pages, 7 figures