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This chapter presents a comprehensive exploration of numerical simulation methodologies for plasma flows and multiphase dilute flows, with a focus on plasmas and particle-laden systems where charged and neutral particles coexist. The core framework builds upon the Particle-in-Cell (PIC) method, which enables the tracking of simulation particles (macroparticles) to represent large ensembles of real charged particles. By interpolating charge densities onto grid nodes, solving the Poisson equation for electric fields and updating particle motions under electromagnetic forces, PIC effectively captures key plasma phenomena. However, its integration with the Direct Simulation Monte Carlo (DSMC) method—through a hybrid DSMC/PIC algorithm—addresses broader complex dynamics, including neutral particle collisions and chemical reactions.

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DSMC/PIC Hybrid Algorithm and DSMC Applications in Hypersonic Multiphase Flows

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  • 发表日期：

    2026年

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  • Weiqi Yang,
  • Jing Men,
  • Jie Li

摘要

This chapter presents a comprehensive exploration of numerical simulation methodologies for plasma flows and multiphase dilute flows, with a focus on plasmas and particle-laden systems where charged and neutral particles coexist. The core framework builds upon the Particle-in-Cell (PIC) method, which enables the tracking of simulation particles (macroparticles) to represent large ensembles of real charged particles. By interpolating charge densities onto grid nodes, solving the Poisson equation for electric fields and updating particle motions under electromagnetic forces, PIC effectively captures key plasma phenomena. However, its integration with the Direct Simulation Monte Carlo (DSMC) method—through a hybrid DSMC/PIC algorithm—addresses broader complex dynamics, including neutral particle collisions and chemical reactions.