Benchmark of the KGMf with a coupled Boltzmann equation solver

Krek, Janez; Fu, Yangyang; Parsey, Guy M.; Verboncoeur, John P.

doi:10.1016/j.cpc.2020.107748

Benchmark of the KGMf with a coupled Boltzmann equation solver

Journal Article · Mon Nov 30 00:00:00 EST 2020 · Computer Physics Communications

DOI:https://doi.org/10.1016/j.cpc.2020.107748· OSTI ID:1850768

^[1]; ^[2]; Parsey, Guy M. ^[3]; Verboncoeur, John P. ^[2]

Michigan State Univ., East Lansing, MI (United States). Dept. of Computational Mathematics, Science and Engineering; Michigan State Univ., East Lansing, MI (United States)
Michigan State Univ., East Lansing, MI (United States). Dept. of Computational Mathematics, Science and Engineering; Michigan State Univ., East Lansing, MI (United States). Dept. of Electrical and Computer Engineering
KLA Corporation, Ann Arbor, MI (United States)

The Kinetic Global Model framework (KGMf) is an open-source general-purpose global model (spatially averaged) simulation code developed to explore the reaction kinetics and pathways in plasma discharge systems. It contains species continuity and electron energy balance equations, with a time-dependent evaluated electron energy distribution function (EEDF) for electron impact reactions. The EEDF is utilized to determine the rate coefficients for electron impact reactions, which can have profound impact on the temporal evolutions of plasma parameters. Previously, the EEDF was commonly assumed as Maxwellian or an analytical function of the effective electron temperature. In this work, the KGMf is coupled with a Boltzmann equation (BE) solver to self-consistently compute the EEDF. The EEDF evolution frequency is determined based on relative changes of the reduced electric field. The KGMf is benchmarked with the ZDPlasKin code based on high-pressure low-temperature argon plasma discharge cases. Additionally, the temporal evolutions of reduced electric field, electron temperature, EEDF, reaction rates, and species densities, are obtained and compared under different discharge conditions, showing good agreement between the KGMf and the ZDPlasKin simulations. The application of the KGMf for predicting breakdown times in high power microwave discharges is also presented, which shows qualitative agreement with particle-in-cell simulations. The KGMf can be further applied for more complicated plasma discharge systems, where the reaction kinetics are more intricate (e.g., plasma-assisted combustion systems).

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Organization:: US Air Force Office of Scientific Research (AFOSR); USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: SC0001939

OSTI ID:: 1850768

Alternate ID(s):: OSTI ID: 1775680

Journal Information:: Computer Physics Communications, Journal Name: Computer Physics Communications Journal Issue: C Vol. 260; ISSN 0010-4655

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Benchmark of the KGMf with a coupled Boltzmann equation solver

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