DocumentCode :
1258021
Title :
Two-dimensional radio-frequency methane plasma simulation: comparison with experiments
Author :
Bera, Kallol ; Yi, Jeong W. ; Farouk, Bakhtier ; Lee, Young H.
Author_Institution :
Dept. of Mech. Eng. & Mech., Drexel Univ., Philadelphia, PA, USA
Volume :
27
Issue :
5
fYear :
1999
fDate :
10/1/1999 12:00:00 AM
Firstpage :
1476
Lastpage :
1486
Abstract :
Plasma variables are predicted using a glow discharge physics model and compared with experimental data obtained from plasma assisted chemical vapor deposition (PACVD) reactors. The present study provides insights to charged species dynamics and their effects on deposition in a polyatomic gas (methane) discharge. Swarm data as a function of electron energy are provided as input to the model. The necessary DC bias for the discharge is also predicted such that the cycle-averaged current to the powered electrode becomes zero. The simulations are performed for the operating conditions of two different experimental reactors. The model predictions of electron density, self-generated DC bias, and power requirement compare very well with the experimental results. The model predictions of axial and radial variations of plasma density also compare well with the experimental data. The radial and axial variations of plasma variables in the reactors are also presented
Keywords :
high-frequency discharges; organic compounds; plasma CVD; plasma density; plasma simulation; DC bias; Langmuir probe; axial variations; charged species dynamics; cycle-averaged current; deposition; electron density; electron energy; glow discharge physics model; methane discharge; operating conditions; plasma assisted chemical vapor deposition reactors; plasma density; plasma variables; polyatomic gas discharge; power requirement; powered electrode; radial variations; self-generated DC bias; swarm data; two-dimensional radio-frequency methane plasma simulation; Chemical vapor deposition; Electrons; Glow discharges; Inductors; Physics; Plasma chemistry; Plasma density; Plasma simulation; Predictive models; Radio frequency;
fLanguage :
English
Journal_Title :
Plasma Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-3813
Type :
jour
DOI :
10.1109/27.799829
Filename :
799829
Link To Document :
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