AI 中文总结
研究提出AxiGSIS求解器模拟稀薄气体和带电粒子流，采用有限体积离散速度方法与GSIS框架，通过双向耦合加速稳态收敛，经四个基准流验证，能准确捕捉流动物理和粒子响应，减少计算开销。
AI 中文摘要
提出了一种轴对称通用合成迭代方案（AxiGSIS）来模拟规定静电场下的稀薄气体流动和带电粒子输运。该求解器采用在二维轴对称子午面与三维分子速度空间上定义的有限体积离散速度方法。在GSIS框架下，动力学求解器计算非平衡应力和热通量，作为校正源项导入宏观合成系统。在宏观系统上对低阶流动原始变量进行快速迭代更新，校正后的流场反馈给动力学求解器。这种双向耦合实现宏观信息快速传播，加速稳态收敛。研究了四个基准流，结果表明AxiGSIS能重现参考动力学解，准确捕捉轴对称流物理和带电粒子对规定静电场的响应，减少计算开销。
英文摘要
An axisymmetric general synthetic iterative scheme (AxiGSIS) is proposed to simulate rarefied gas flows and charged particle transport under prescribed electrostatic fields. This solver adopts a finite-volume discrete velocity method defined over the two-dimensional axisymmetric meridian plane paired with a three dimensional molecular velocity space. Under the GSIS framework, the kinetic solver computes nonequilibrium stress and heat flux, which are subsequently imported as corrective source terms into the macroscopic synthetic system. Fast iterative updates of low order flow primitive variables are performed on this macroscopic system, whose corrected flow fields are then fed back to the kinetic solver. This bidirectional coupling enables rapid propagation of macroscopic information and substantially accelerates steady state convergence, particularly in near continuum flow regimes. Four benchmark flows are examined: the Taylor Couette flow, neutral nozzle expansion flow, charged particle flow past an electrostatic sphere, and electrostatically accelerated charged-particle nozzle flow. Results show that AxiGSIS reproduces the reference kinetic solutions and accurately captures axisymmetric flow physics and charged-particle responses to prescribed electrostatic fields. Utilizing fewer spatial cells and iteration steps, AxiGSIS substantially cuts computational overhead relative to conventional kinetic iterations, particularly for low and moderate Knudsen number flows.
