Jul 2 – 6, 2018
Žofín Palace
Europe/Prague timezone

P4.3016 Modelling 1D Dielectric Barrier Discharge in Nitrogen Mixtures

Jul 5, 2018, 2:00 PM
2h
Mánes

Mánes

Speaker

Lucas W S Crispim

Description

See the full Abstract at http://ocs.ciemat.es/EPS2018ABS/pdf/P4.3016.pdf Modelling 1D Dielectric Barrier Discharge in Nitrogen Mixtures Lucas W S Crispim1 , Hallak, P. H.1 , Maikel Y Ballester2 1 Programa de Pós-Graduação em Modelagem Computacional UFJF, Juiz de Fora, Brasil 2 Departamento de Física UFJF, Juiz de Fora, Brasil This work aims at analyzing the temporal evolu- 1012 tion of species (Fig. 1), heating and other physical e N2(A) 1010 N N2(B) 108 quantities in a gaseous mixture subjected to elec- −3 106 Density/cm 104 tric discharges. The mathematical model includes 102 100 the application of high voltage in a gaseous mix- 10 −2 −4 10 ture between electrodes. The simulation domain is 1.0 2.0 3.0 4.0 5.0 6.0 7.0 Radius/10−1 mm a cartesian one-dimensional region. In the macro- scopic perspective, the effects of transport, i.e. heat Figure 1: Species density at 1.0×10−6 s transfer and mass, are considered [1], microcopies, effects of heat generation due to electronic collisions and chemical reactions are also consid- ered [2]. Reaction rate and transport coefficients depending upon the electron energy distribu- tion function are calculated from collision cross-section data by solving the electron Boltzmann equation (BE). The application of a technique of separation of operators in the mathematical model provides to two sub-models, a global for macroscopic effects and another one containing microscopic effects of the plasma. A discrete sub-model for the electron-species and species- species collisions [3] is solved in ZDPlasKin [4], a zero-dimensional plasma analysis tool, while BE solver BOLSIG+ [5] required for solved electron energy distribution function. Nitrogen is used as an initial gaseous mixture in the simulation. Due to the high computational cost, a do- main decomposition with Message Passing Interface (MPI) while OpenMP is used to solving a set of partial differential equations of each component in the gas mixture [6]. References [1] A. W. Date. Analytic Combustion: With Thermodynamics, Chemical Kinetics and Mass Transfer. Cambridge University Press, 2011. [2] A. Fridman. Plasma chemistry. Cambridge university press, 2008. [3] M. Capitelli, C. Ferreira, B. Gordiets, and A. Osipov. Plasma kinetics in atmospheric gases, 2001. [4] S. Pancheshnyi, B. Eismann, G. Hagelaar, and L. Pitchford. Zdplaskin: a new tool for plasmachemical simu- lations. Bulletin of the American Physical Society, 53, 2008. [5] G. Hagelaar and L. Pitchford. Solving the boltzmann equation to obtain electron transport coefficients and rate coefficients for fluid models. Plasma Sources Science and Technology, 14(4):722, 2005. [6] P. Pacheco. An introduction to parallel programming. Elsevier, 2011.

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