Numerical Prediction of Flame Images in the Visible Spectrum Range
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- Pereira C.F. Jose
- Instituto Superior Tecnico, Technical University of Lisbon, Mechanical Engineering Department
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- Coelho J. Pedro
- Instituto Superior Tecnico, Technical University of Lisbon, Mechanical Engineering Department
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- Rocha M.P. Jorge
- Instituto Superior Tecnico, Technical University of Lisbon, Mechanical Engineering Department
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- Carvalho G. Maria
- Instituto Superior Tecnico, Technical University of Lisbon, Mechanical Engineering Department
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Abstract
In this paper a numerical technique is presented to predict the image of a free flame in the visible spectrum range from the computational results obtained with a fluid flow and combustion code. The numerical technique is composed of two sub-models. The first one is a mathematical model based on the solution of the time-averaged form of the conservation equations for mass, momentum and energy. The output results are used as input data for the second submodel which is able to predict the flame image/brightness. This submodel is based on the integration of the radiative heat transfer equation along selected directions. The basic assumption of this submodel is that radiation is mainly due to soot in the visible range of the spectrum. The model was applied to a turbulent propane free flame for which experimental temperature measurements and digitized flame images were available. The predicted temperatures are in reasonable agreement with the experimental data, and the shape of the predicted flame image is qualitatively similar to that of the digitized flame image. Overall, the model proved to be a useful engineering predictive tool for numerical visualization of sooty flames.
Journal
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- JSME international journal. Ser. B, Fluids and thermal engineering
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JSME international journal. Ser. B, Fluids and thermal engineering 37 (3), 659-667, 1994-08-15
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1572261551980230528
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- NII Article ID
- 110002976584
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- NII Book ID
- AA10888815
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- ISSN
- 13408054
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- Text Lang
- en
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- Data Source
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- CiNii Articles