2009
DOI: 10.1016/j.vacuum.2009.06.046
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Numerical simulation of point-to-plane corona discharge using a Monte Carlo method

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Cited by 12 publications
(10 citation statements)
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“…FEM is the most effective method to be used in this work to deal with the random non-linear shapes such as ET shapes in the presence of boundaries. Based on the mesh generation analysis, FEM can simplify the complex problems into small elements to facilitate the operational analysis mode [20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…FEM is the most effective method to be used in this work to deal with the random non-linear shapes such as ET shapes in the presence of boundaries. Based on the mesh generation analysis, FEM can simplify the complex problems into small elements to facilitate the operational analysis mode [20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Numerical methods are classified as the magic tools to deal with the complicated mathematical and physical problems like the scope of this research. These methods are categorised into two major branches according to the computational domain and operational equations; open domain methods with the solution of integral equations without any restrictions in calculations but with less accuracy to be used alone without the application of artificial intelligence methods such as the Charge Simulation Method (CSM) approach and the constrained domain methods with the solution of differential equations to treat with any random nonuniform shapes such as Monte Carlo Method (MCM) and Finite Element Method (FEM) approaches [22].…”
Section: Introductionmentioning
confidence: 99%
“…As the proposed model in this work is bounded area and associated with a complicated random shape of ET, FEM is the most effective numerical method to be used in this case study. Regarding to mesh generation approach, FEM analysis can simplify the complicated problems into small elements to facilitate the analysis under the satisfaction of the applied constraints [20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…First attempts to investigate discharges on the basis of particle-in-Cell/Monte Carlo collision (PIC/MCC) models were done for nitrogen within one-dimensional configuration space [19]. PIC/MCC models in two dimensions assuming cylindrical symmetry were used to investigate streamer formation in atmospheric pressure nitrogen [20][21][22], radio frequency discharges [23], and to analyze runaway electrons [24][25][26], space charge effects in resistive plate chambers [27] and point-to-plane corona discharge in nitrogen [28]. Furthermore, 3D PIC/MCC simulations were conducted in high-pressure electronegative gases with focus on laser-triggered gas switches [29].…”
Section: Introductionmentioning
confidence: 99%