Using sensitivity derivatives for design and parameter estimation in an atmospheric plasma discharge simulation

  • Authors:

  • Kyle J. Lange;W. Kyle Anderson

  • Affiliations:

  • University of Victoria, Institute for Integrated Energy Systems, Victoria, BC V8W 2Y2, Canada;University of Tennessee-Chattanooga, National Center for Computational Engineering, Chattanooga, TN 37403, USA

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2010

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Abstract

The problem of applying sensitivity analysis to a one-dimensional atmospheric radio frequency plasma discharge simulation is considered. A fluid simulation is used to model an atmospheric pressure radio frequency helium discharge with a small nitrogen impurity. Sensitivity derivatives are computed for the peak electron density with respect to physical inputs to the simulation. These derivatives are verified using several different methods to compute sensitivity derivatives. It is then demonstrated how sensitivity derivatives can be used within a design cycle to change these physical inputs so as to increase the peak electron density. It is also shown how sensitivity analysis can be used in conjunction with experimental data to obtain better estimates for rate and transport parameters. Finally, it is described how sensitivity analysis could be used to compute an upper bound on the uncertainty for results from a simulation.