Applying Neural Network Technique for prediction of NOx Emission and Combustion Dynamics of an Experimental Turbulent Swirl-stabilized Combustor using flame image processing techniques
Publish place: 17th Fluid Dynamics Conference
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CFD17_034
تاریخ نمایه سازی: 22 دی 1396
Abstract:
In the present study, direct flame images obtained from an experimental swirl stabilized combustor are used to predict the output parameters of the combustor including the level of NOx emission, amounts of noise and the level of pressure fluctuations in the combustor. For this purpose, different values of overall equivalence ratios in the range of 0.7-0.9 along with various amounts of secondary fuel injection rates between
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Authors
Ramin Asadi
M.Sc student at University of Tehran
Rouzbeh Riazi
Associate professor
Maziar Shafaee
Associate professor
Shidvash Vakilipour
Associate professor