A parallel hybrid numerical algorithm for simulating gas flow and gas discharge of an atmospheric-pressure plasma jet

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/109136

Title:	A parallel hybrid numerical algorithm for simulating gas flow and gas discharge of an atmospheric-pressure plasma jet
Authors:	黃楓南;Lin, K.-M.;Hu, M.-H.;Hung, C.-T.;Wu, J.-S.;Hwang, F.-N.;Chen, Y.-S.;Cheng, G.
Contributors:	理學院數學系
Keywords:	Atmospheric-pressure plasma jet (APPJ);Navier–Stokes (N–S) equation solver;Plasma fluid model (PFM);Temporal multi-scale method (TMSM)
Date:	2012-12-01
Issue Date:	2026-04-23 16:10:02 (UTC+8)
Publisher:	Elsevier;Elsevier B.V
Abstract:	摘要： Development of a hybrid numerical algorithm which couples weakly with the gas flow model (GFM) and the plasma fluid model (PFM) for simulating an atmospheric-pressure plasma jet (APPJ) and its acceleration by two approaches is presented. The weak coupling between gas flow and discharge is introduced by transferring between the results obtained from the steady-state solution of the GFM and cycle-averaged solution of the PFM respectively. Approaches of reducing the overall runtime include parallel computing of the GFM and the PFM solvers, and employing a temporal multi-scale method (TMSM) for PFM. Parallel computing of both solvers is realized using the domain decomposition method with the message passing interface (MPI) on distributed-memory machines. The TMSM considers only chemical reactions by ignoring the transport terms when integrating temporally the continuity equations of heavy species at each time step, and then the transport terms are restored only at an interval of time marching steps. The total reduction of runtime is 47% by applying the TMSM to the APPJ example presented in this study. Application of the proposed hybrid algorithm is demonstrated by simulating a parallel-plate helium APPJ impinging onto a substrate, which the cycle-averaged properties of the 200th cycle are presented. The distribution patterns of species densities are strongly correlated by the background gas flow pattern, which shows that consideration of gas flow in APPJ simulations is critical. 出版者： Elsevier B.V 出版日期： 2012-12 出處： Computer physics communications, 2012-12, Vol.183 (12), p.2550-2560 版權： 2012 Elsevier B.V. 識別號： ISSN: 0010-4655 識別號： EISSN: 1879-2944 識別號： DOI: 10.1016/j.cpc.2012.07.004
Appears in Collections:	[Department of Mathematics] journal & Dissertation

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