Response Surface Modeling of Fuel Rich and Fuel Lean Catalytic Combustion of the Stabilized Confined Turbulent Gaseous Diffusion Flames

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ISSN Print: 2331-4222
ISSN Online: 2331-4249
www.scirp.org/journal/wjet
E-mail: wjet@scirp.org

"Response Surface Modeling of Fuel Rich and Fuel Lean Catalytic Combustion of the Stabilized Confined Turbulent Gaseous Diffusion Flames"
written by Tahani S. Gendy, Salwa A. Ghoneim, Amal S. Zakhary,
published by World Journal of Engineering and Technology, Vol.7 No.1, 2019

has been cited by the following article(s):

[1]	Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: insights using a …
	Salamony, MM Alrashed, A Bentalib… - Molecular …, 2024

[2]	Optimization of Dry Reforming of Methane over a Ni/MgO Catalyst Using Response Surface Methodology
	Salamony… - Chemical …, 2022

[3]	Response Surface Methodology and Artificial Neural Network Methods Comparative Assessment for Fuel Rich and Fuel Lean Catalytic Combustion
	World Journal of Engineering and …, 2021

[4]	Comparative Appraisal of Response Surface Methodology and Artificial Neural Network Method for Stabilized Turbulent Confined Jet Diffusion Flames Using …
	2020

[1]	Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst Molecular Catalysis, 2024 DOI:10.1016/j.mcat.2024.114216

[2]	Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst Molecular Catalysis, 2024 DOI:10.1016/j.mcat.2024.114216

[3]	Optimization of Dry Reforming of Methane over a Ni/MgO Catalyst Using Response Surface Methodology Chemical Engineering & Technology, 2022 DOI:10.1002/ceat.202200115

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