Numerical Simulation of the Chemical Combination and Dissociation Reactions of Neutral Particles in a Rarefied Plasma Arc Jet

Li, Jie; Ingham, D.B.; Ma, Lin; Wang, Ning; Pourkashanian, Mohamed

doi:10.1109/tps.2017.2659735

Cited by 10 publications

(2 citation statements)

References 17 publications

(12 reference statements)

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“…The two components form the coupled DSMC/PIC solver used in this work. Prior works [22], [23] have provided compelling evidence, showing the effectiveness and correctness of this coupled solver.…”

Section: A Infrastructuresmentioning

confidence: 84%

Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations

Qiu

et al. 2022

2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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Particle simulations are important workloads in high performance and parallel computing. Due to massive particle migration between parallel processes during simulations, efficient and balanced parallel computing is a practical challenge in large-scale realistic particle applications. This paper proposes a novel approach to enable highly-efficient dynamic load balance in a coupled DSMC/PIC solver for large-scale numerical simulations of the plasma plume. We employ dual unstructured grids of different granularity, with a coarse grid for DSMC simulations of flow fields and an embedded fine grid for PIC simulations of electric fields, to facilitate coupled DSMC/PIC calculation and grid partition for parallel computing. We then design and implement a centralized as well as a distributed communication strategies to dynamically migrate particles among arbitrary parallel processes. During the timestep iterations, we present a lightweight dynamic load balancer, composed of a load imbalance factor, a weighted load model and an efficient grid remapping mechanism, to adaptively rebalance the simulation among parallel processes with little extra overheads. We perform 3D unsteady simulations of the plasma plume induced by the pulsed vacuum arc in a cylindrical nozzle with hydrogen atoms and ions to validate the coupled solver. Parallel performance results scaling up to thousands of processes with billions of particles demonstrate the efficiency and effectiveness of our dynamic load balancer and parallel implementation.

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Section: A Infrastructuresmentioning

confidence: 84%

Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations

Qiu

et al. 2022

2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Self Cite

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“…On the other hand, particle methods like Direct Simulation Monte Carlo (DSMC) method and Particle‐in‐Cell (PIC) method are recently applied to analysis of low‐pressure arcs. However, in these particle methods, computation step is limited to the order of pico‐ to nano‐seconds so that computing time is a problem 3,4 …”

Section: Introductionmentioning

confidence: 99%

Development of a numerical model for metal vapor dynamics in low pressure arcs based on moving particle semi‐implicit method and influence of shield wall radius on vapor behavior

Miyazaki

Hatanaka

Tanaka

et al. 2022

Electrical Engineering Japan

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Numerical simulation was conducted for dynamic behavior of copper vapor in arcs under reduced pressure condition using the developed model. The developed model uses MPS method for atoms and ions, while it uses finite volume method for electron energy and electro‐magnetic fields. In this paper, the influence of shield wall inner radius for vapor dynamics was studied on the heavy particle temperature, electron temperature and ionization degree. The particle in MPS method was assumed to be neutralized and mirror‐reflected on the shield wall. As a result, the shield wall with a larger radius causes lower density of metal vapor, lower ionization degree between the electrodes.

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The assessment of water pollution by chemical reaction products from the activities of industrial facilities: Numerical study

Issakhov

Alimbek

Zhandaulet

2021

Journal of Cleaner Production

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Numerical Simulation of the Chemical Combination and Dissociation Reactions of Neutral Particles in a Rarefied Plasma Arc Jet

Cited by 10 publications

References 17 publications

Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations

Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations

Development of a numerical model for metal vapor dynamics in low pressure arcs based on moving particle semi‐implicit method and influence of shield wall radius on vapor behavior

The assessment of water pollution by chemical reaction products from the activities of industrial facilities: Numerical study

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