Level Set Curve Matching and Particle Image Velocimetry for Resolving Chemistry and Turbulence Interactions in Propagating Flames

Authors:
Rafeef Abu-Gharbieh;Ghassan Hamarneh;Tomas Gustavsson;Clemens Kaminski
Affiliations:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada&semi/ Department of Signals and Systems, Chalmers University of Technology, Gö/teborg 412 96, ...;Department of Signals and Systems, Chalmers University of Technology, Gö/teborg 412 96, Sweden;Department of Signals and Systems, Chalmers University of Technology, Gö/teborg 412 96, Sweden;Department of Chemical Engineering, Cambridge University, Cambridge CB2 3RA, UK
Venue:
Journal of Mathematical Imaging and Vision
Year:
2003

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Abstract

We present an imaging, image processing, and image analysis framework for facilitating the separation of flow and chemistry effects on local flame front structures. Image data of combustion processes are obtained by a novel technique that combines simultaneous measurements of distribution evolutions of OH radicals and of instantaneous velocity fields in turbulent flames. High-speed planar laser induced fluorescence (PLIF) of OH radicals is used to track the response of the flame front to the turbulent flow field. Instantaneous velocity field measurements are simultaneously performed using particle image velocimetry (PIV). Image analysis methods are developed to process the experimentally captured data for the quantitative study of turbulence/chemistry interactions. The flame image sequences are smoothed using nonlinear diffusion filtering and flame boundary contours are automatically segmented using active contour models. OH image sequences are analyzed using a curve matching algorithm that incorporates level sets and geodesic path computation to track the propagation of curves representing successive flame contours within a sequence. This makes it possible to calculate local flame front velocities, which are strongly affected by turbulence/chemistry interactions. Since the PIV data resolves the turbulent flow field, the combined technique allows a more detailed investigation of turbulent flame phenomena.