CFD Analysis of Batch-Type Reheating Furnace for Improved Heating Performance

Author(s):  
Bin Wu ◽  
Tom Roesel ◽  
Andrew M. Arnold ◽  
Zhaojiang Xu ◽  
Eugene Arnold ◽  
...  

A reheating furnace is a critical component in value-added steel production. These furnaces can have a significant impact on both product quality and total cost. In order to obtain a better understanding of the furnace operation which influences the temperature distribution, a Computational Fluid Dynamics (CFD) analysis has been conducted to examine the transient and three dimensional temperature fields in a prototype of the number three reheating furnace located at ArcelorMittal. Also, a series of simulations have been conducted to maximize the furnace performance. These parametric studies include different burner designs, fuel flow rates, and combustion air supplies to optimize the heating capacity of the furnace. The comparison of the simulation results assists in understanding the effective factors which are critical to the improvement of the furnace’s production capacity, thus providing insight into furnace optimization.

Author(s):  
Bin Wu ◽  
Andrew M. Arnold ◽  
Eugene Arnold ◽  
George Downey ◽  
Chenn Q. Zhou

In the steelmaking industry, reheating furnaces are used to heat the billets or blooms to the rolling temperature; the uniformity of the temperature in the furnace determines billet quality. In order to obtain a better understanding of the furnace operation, which influences the temperature distribution; Computational Fluid Dynamics (CFD) analysis is conducted to examine the transient and three dimensional temperature fields in a reheating furnace using the commercial software Fluent®. A number of actual operating conditions, based on the ArcelorMittal Steelton No.3 reheating furnace, are computed. The numerical results are used to optimize the operating parameters and thus help to improve the steel quality.


Author(s):  
Bin Wu ◽  
Tom Roesel ◽  
Andrew M. Arnold ◽  
Zhaojiang Xu ◽  
Eugene Arnold ◽  
...  

A reheating furnace is a critical component in value-added steel production. These furnaces can have a significant impact on product quality and total cost. Due to the higher efficiency of regenerative burners, a growing number of reheating furnaces are using this technology. To better understand the regenerative burner operation, a Computational Fluid Dynamics (CFD) analysis has been conducted to examine the transient and three dimensional flow characteristics in the No.3 reheating furnace at ArcelorMittal Steelton. Simulation results with traditional burners and regenerative burners have been analyzed to understand the effect of retrofitting a furnace with these more modern burners. The temperature distribution on the billets has also been monitored throughout the simulated heating process providing insight into the optimization of billet residence time and improvement of the product quality control process.


Author(s):  
Guangwu Tang ◽  
Arturo Saavedra ◽  
Tyamo Okosun ◽  
Bin Wu ◽  
Chenn Q. Zhou ◽  
...  

Slab reheating is a very important step in steel product manufacturing. A small improvement in reheating efficiency can translate into big savings to steel mills in terms of fuel consumption and productivity. Computational fluid dynamics (CFD) has been employed in conducting numerical simulations of the slab reheating furnace operation. However, a full industrial scale three-dimensional (3D) simulation of a slab reheating furnace, while comprehensive, is not an efficient way to conduct broad studies of the slab heating process. In this paper, a comprehensive two-dimensional (2D) numerical heat transfer model for slab reheating in a walking beam furnace was developed using the finite difference method. The 2D heat transfer model utilizes the heat transfer coefficients derived from a 3D reheating furnace CFD model which was validated by using mill instrumented slab trials. The 2D heat transfer model is capable of predicting slab temperature evolutions during the reheating processes based on the real time furnace conditions and steel physical properties. The 2D model was validated by using mill instrumented slab trials and production data. Good agreement between the model predictions and production data was obtained.


2012 ◽  
Vol 706-709 ◽  
pp. 2782-2787 ◽  
Author(s):  
Maria Giuseppina Mecozzi ◽  
C. Bos ◽  
J. Sietsma

In this work the formation of microstructural banding in a dual-phase steel is investigated by using a three-dimensional cellular automata model for phase transformations. Originally developed for describing the metallurgical processes occurring during the annealing stage of cold-rolled strips, this model is presently applied to investigate microstructural-band formation during the austenite-to-ferrite transformation kinetics during cooling after hot rolling. The recent incorporation in the model of an inhomogeneous concentration of Mn, the alloying element most responsible for the development of microstructural banding, and the local nucleation behaviour dependent on the Mn concentration allows the study of the effect of material and process parameters on the banding formation.


ACS Omega ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 2759-2766
Author(s):  
Jiali Du ◽  
Zhiquan Hui ◽  
Feng Wu ◽  
Yuan Yan ◽  
Kai Yue ◽  
...  

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