MPI Parallelization of Numerical Simulations for Pulsed Vacuum Arc Plasma Plumes Based on a Hybrid DSMC/PIC Algorithm

The transport characteristics of the unsteady flow field in rarefied plasma plumes is crucial for a pulsed vacuum arc which particle distribution varies from 1016 to 1022 m−3. direct simulation Monte Carlo (DSMC) method and particle-in-cell (PIC) are generally combined study this kind field. DSMC simulates motion neutral particles, while PIC charged ions. A hybrid DSMC/PIC algorithm investigated here determine axisymmetric plume expansion. Numerical simulations found be consistent with experiments performed mass energy analyzer (EQP). electric solved by Poisson’s equation, usually computationally expensive. compressed sparse row (CSR) format used store huge diluted matrix PETSc library solve equation through parallel calculations. Double weight factors two timesteps under grid sets using algorithm. fine nested coarse grid. Therefore, METIS divide much smaller when dynamic load imbalances arise. Two parameters employed evaluate distribute computational each process. Due self-adaption dynamic-load-balancing parameters, millions grids more than 150 million particles predict plume. Atomic Ti Ti2+ injected into small cylinders. comparative analysis shows that diffusion rate faster atomic field, especially z-direction. fully diffuse reflection wall model adopted, showing accumulate on wall, ions do not—due their self-consistent maximum acceleration ratio about 17.94.