Comparison of particle in cell and fluid models in plasma display panels simulation

W Benstâali,A Belasri

doi:10.1051/epjconf/20134404006

Abstract

In this paper, a particle in cell model (PIC) was developed. We compare the major characteristics of a single discharge obtained from our PIC model and the fluid model. Fluid model uses different approximations as Local field (LFA). The particle in cell (PIC) model, although its costs in time, still an efficient tool to understand a PDP discharge. Even there is some differences as the delay time and the ionization, the discharge still be correctly described as the energy balance.

Highlights

Despite the efforts of researchers in computer performance over the last decades, integrating all aspects of a system of plasma in a detailed model is not possible
The aim of this work is to compare our one dimensional particle in cell model with Mont Carlo Collisions model (PIC’MCC) [19,20] to the 1D fluid model used by Meunier et al [21]
The particle in cell (PIC) model consists of tracking macro- particles individually according to fundamental laws: The charged particles trajectories are obtained by the Newton-Lorentz equations: m

Summary

Introduction

Despite the efforts of researchers in computer performance over the last decades, integrating all aspects of a system of plasma in a detailed model is not possible. Simulation results can be used to identify research guidelines, find optimum operating conditions or propose novel designs for performance improvements With this success, the numerical modeling of plasmas has become a valuable tool to understand and optimize plasma physics, especially plasma display panels (PDPs). Plasma display panels (PDPs) are one of the principal technologies in flat display panels because of their large size (a 70” PDP is realised ), their wide viewing angle (~180°), their high colour resolution, and their flat body It still needs many improvements like the luminous efficiency which is only 1-2 lm/w. Many numerical models have been developed to study the different methods to optimize plasma display panel characteristics, the luminous efficiency [10,11,12,13,14].

PIC model

Fluid model

Results

Conclusion