Diagnostic based modelling of radio-frequency driven atmospheric pressure plasmas

Kari Niemi, Stephan Reuter, L.M. Graham, J. Waskoenig, N. Knake, V. Schulz-von Der Gathen, Timo Gans Gans

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

Diagnostic based modelling (DBM) actively combines complementary advantages of numerical plasma simulations and relatively simple optical emission spectroscopy (OES). DBM is employed to determine absolute atomic oxygen ground state densities in a helium–oxygen radio-frequency driven atmospheric pressure plasma jet. A comparatively simple one-dimensional simulation yields detailed information on electron properties governing the population dynamics of excited states. Important characteristics of the electron dynamics are found to be largely insensitive to details of the chemical composition and to be in very good agreement with space and phase-resolved OES. Benchmarking the time and space resolved simulation allows us to subsequently derive effective excitation rates as the basis for DBM with simple space and time integrated OES. The population dynamics of the upper O 3p 3P (? = 844 nm) atomic oxygen state is governed by direct electron impact excitation, dissociative excitation, radiation losses and collisional induced quenching. Absolute values for atomic oxygen densities are obtained through tracer comparison with the upper Ar 2p1 (? = 750.4 nm) state. The presented results for the atomic oxygen density show excellent quantitative agreement with independent two-photon laser-induced fluorescence measurements.
Original languageEnglish
Article number124006
Pages (from-to)124006-124006-6
Number of pages124001
JournalJournal of Physics D: Applied Physics
Volume43 (12)
Issue number12
DOIs
Publication statusPublished - Mar 2010

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Surfaces, Coatings and Films
  • Acoustics and Ultrasonics
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Diagnostic based modelling of radio-frequency driven atmospheric pressure plasmas'. Together they form a unique fingerprint.

Cite this