Derivation of the parallel PIC/MCC numerical code and its application to the kinetic analysis of photoresonance plasma and the problem of identification of impurities within the PLES method

2017
Kuşoğlu Sarıkaya, Cemre
1d3v Particle in Cell/Monte Carlo Collision (PIC/MCC) code for numerical simulations of gas discharge plasma was developed. The efficiency of the code was increased by its parallelization using Open MPI. In order to verify the applicability of the code, the benchmark tests were performed under the RF capacitively coupled discharge conditions. The effects of the particle weighting and the Courant number on the computed plasma properties were examined and the convergence of the numerical method with respect to these parameters was demonstrated. Next, the PIC/MCC code was applied to the analysis of formation of photoresonance plasma sustained in sodium vapor. The basic plasma parameters (such as the electron energy distribution function (EEDF), ion energy distribution function (IEDF), atomic and molecular ion and electron densities, the electric field and potential) were studied. Results of the PIC/MCC simulations were compared to those obtained from the fluid model. Simulations revealed a strong spatial nonuniformity in the electron density and the electric potential over the computational domain that provides an evidence in favour of photovoltaic conversion of light energy into electrical energy. Finally, the study was focused on the problem of detection and identification of impurities in the nonlocal plasma of gas discharge within the Plasma Electron Spectroscopy (PLES) method. PIC/MCC simulations were carried out for DC glow discharge in helium doped with a small amount of argon. Numerical results were found to be consistent with the theoretical analysis of formation of non-local EEDF and existing experimental data, and providing useful insight into the applicability and limitations of the PLES method and optimization of its operational parameters.
Citation Formats
C. Kuşoğlu Sarıkaya, “Derivation of the parallel PIC/MCC numerical code and its application to the kinetic analysis of photoresonance plasma and the problem of identification of impurities within the PLES method,” Ph.D. - Doctoral Program, Middle East Technical University, 2017.