Comparison of Different Ways for Image Post-Processing: Detection of Flame Fronts 1999-01-3651
A detailed understanding of the complex chemistry-turbulence interaction is gaining an increasing importance for further improvement of IC engine performance. Multidimensional optical diagnostic techniques have become a versatile tool for engine development. Sophisticated automatic data post-processing will achieve an increasing significance for efficient data reduction in such optical experiments. The focus of this paper is the detection of flame fronts using different image processing algorithms. In a further step of the data reduction, the extraction of the length of the flame front and the area of the burnt gases is presented. A strategy relying on a sensitivity analysis is discussed which allows an objective choice of parameters necessary for the application of the mathematical algorithms. As different test examples, chemiluminescence images and planar laser induced fluorescence images of formaldehyde (present in the unburnt end-gas) and OH radicals (present in the post flame region) recorded from an operating research engine are used.
Citation: Schießl, R., Dreizler, A., and Maas, U., "Comparison of Different Ways for Image Post-Processing: Detection of Flame Fronts," SAE Technical Paper 1999-01-3651, 1999, https://doi.org/10.4271/1999-01-3651. Download Citation
Author(s):
R. Schießl, A. Dreizler, U. Maas
Affiliated:
Institut für Technische Verbrennung, Universität Stuttgart, Germany
Pages: 16
Event:
International Fuels & Lubricants Meeting & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Modeling and Diagnostics in Diesel Engines-SP-1480
Related Topics:
Optics
Imaging and visualization
Mathematical models
Lasers
Research and development
Gases
Tools and equipment
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