Case study: application of feature tracking to analysis of autoignition simulation data

  • Authors:
  • Wendy S. Koegler

  • Affiliations:
  • Sandia National Laboratories, Livermore CA

  • Venue:
  • Proceedings of the conference on Visualization '01
  • Year:
  • 2001

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Abstract

The focus of this paper is to evaluate the usefulness of some basic feature tracking algorithms as analysis tools for combustion datasets by application to a dataset modeling autoignition. Features defined as areas of high intermediate concentrations were examined to explore the initial phases in the autoigniton process.