Predictions of turbulence intensity and continuous evolution of fluid flow characteristics in a combustor model are useful and essential for better and optimum design of gas turbine combustors. Many experimental techniques such as Laser Doppler Velocimetry (LDV) measurements provide only limited discrete information at given points; especially, for the cases of complex flows such as dump combustor swirling flows. For this type of flow, usual numerical interpolating schemes appear to be unsuitable. Neural Network Analysis (ANN) is proposed and the results are presented in this paper and are compared with the experimental data used for training purposes. This pilot study showed that artificial neural network is an appropriate method for predicting swirl flow characteristics in a model of a dump combustor. These techniques are proposed for better designs and optimization of dump combustors.
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ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels
August 1–5, 2010
Montreal, Quebec, Canada
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-4948-4
PROCEEDINGS PAPER
Predictions of Turbulence Intensity in a Combustor Model Using Neural Network Analysis
Saad A. Ahmed,
Saad A. Ahmed
American University of Sharjah, Sharjah, UAE
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Hany El Kadi
Hany El Kadi
American University of Sharjah, Sharjah, UAE
Search for other works by this author on:
Saad A. Ahmed
American University of Sharjah, Sharjah, UAE
Hany El Kadi
American University of Sharjah, Sharjah, UAE
Paper No:
FEDSM-ICNMM2010-30834, pp. 893-898; 6 pages
Published Online:
March 1, 2011
Citation
Ahmed, SA, & El Kadi, H. "Predictions of Turbulence Intensity in a Combustor Model Using Neural Network Analysis." Proceedings of the ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting: Volume 1, Symposia – Parts A, B, and C. Montreal, Quebec, Canada. August 1–5, 2010. pp. 893-898. ASME. https://doi.org/10.1115/FEDSM-ICNMM2010-30834
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