Volume 21, Issue 7 (July 2021)                   Modares Mechanical Engineering 2021, 21(7): 479-488 | Back to browse issues page

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Hatami M, Gholipour A. Experimental study and Numerical Optimization for the Burner Geometry Parameters of Preheated Furnace at Esfarayen Steel Industrial Complex. Modares Mechanical Engineering. 2021; 21 (7) :479-488
URL: http://mme.modares.ac.ir/article-15-44545-en.html
1- Esfarayen University of TechnologyXi'an Jiaotong University , m.hatami@xjtu.edu.cn
2- Esfarayen Industrial Complex
Abstract:   (176 Views)
  In this research, the geometric parameters of a preheated furnace burner in the press line of Esfarayen Industrial Complex have been studied, experimentally and numerically. To improve the combustion process in the burner, three different diameters (10, 20 and 30 mm) are provided for the nozzle diameter and three different lengths (225, 250 and 300 mm) for the mixing length of the burner. Ansys-Fluent software and RNG k-ε turbulence model have been used for the simulation and the modeling results show that the applied method has good accuracy and with a maximum error of 23% higher than the experimental values for temperature. This temperature difference is due to the lack of accurate measurement of inlet air flow and also point measurement of temperature in the burner. In the study of the effect of nozzle diameter, it was observed that by increasing the nozzle diameter from 10 to 30 mm, the maximum temperature inside the burner increased by 6%, which against a slight increase in nitrogen oxides (Nox) pollutants inside the burner, the 30 mm diameter for optimum design is selected among the tested diameters. Also, the results of the study for the effect of mixing length on burner performance have shown that by increasing the length, the amount of heat produced decreases slightly, which due to more favorable stability of NOx pollutants due to more space and complete reaction, length of 300 mm has been chosen for optimal design of burner.
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Article Type: Original Research | Subject: Computational Fluid Dynamic (CFD)
Received: 2020/07/17 | Accepted: 2021/04/20 | Published: 2021/07/1

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