scholarly journals Advanced steel reheat furnace

1997 ◽  
Author(s):  
D. Moyeda ◽  
M. Sheldon ◽  
R. Koppang ◽  
M. Lanyi ◽  
X. Li ◽  
...  
Keyword(s):  
Reheat Furnace

Reheat Furnace Efficiency at Laverton Rod Mill

2019 ◽  
Author(s):  
G. Brooks ◽  
A. Fontana ◽  
R. van Vuuren ◽  
J. Stanford
Keyword(s):  
Furnace Efficiency ◽  
Reheat Furnace

Controlling Energy Utilisation at Reheat Furnace Using Time Series Model

2009 ◽  
Vol 24 (2) ◽  
Author(s):  
Biswabrata Pradhan ◽  
Ananya Mukhopadhyay ◽  
Bhagabat Maity
Keyword(s):  
Time Series ◽  
Time Series Model ◽  
Reheat Furnace

NOx Emissions in a Steel Reheat Furnace Firing By-Product Fuels

2001 ◽  
Author(s):  
Bradley R. Adams ◽  
Dave H. Wang
Keyword(s):  
Low Cost ◽  
Nox Reduction ◽  
Coke Oven ◽  
Cfd Modeling ◽  
Stoichiometric Ratio ◽  
Nox Emissions ◽  
Confined Space ◽  
Nox Formation ◽  
Reheat Furnace ◽  
Bottom Zone

Abstract A DOE-funded program was used to understand the mechanisms that control the formation of NOx during the combustion of steelmaking by-product fuels and to investigate possible low-cost control options to minimize the NOx emissions. This paper discusses the CFD modeling results of NOx emissions in a reheat furnace. The reheat furnace has a total of 20 burners distributed over three firing zones. The furnace is fired at a rate of 250 × 106 Btu/hr and an overall stoichiometric ratio of 1.06 (fuel lean). Fuels with heating values of approximate 500 Btu/SCF were examined, including coke oven gas (COG), blast furnace gas (BFG) and a blend of COG, BFG, natural gas (NG) and nitrogen. A good range of process variables was modeled to examine effects of fuel type, air preheat, stoichiometric ratio, firing rate and burner stoichiometry distribution on NOx emissions. Modeling results indicated that NOx formation in the reheat furnace is dominated by thermal NO, with some variation depending on the fuel fired. Temperature profiles showed an effective separation of the furnace interior into top and bottom zones as a result of the steel slab barrier. Higher temperatures characterized the bottom zone and elevated NOx levels as a result of the confined space and enhanced fuel air mixing provided by the slab supports. Results also showed that reburning of NOx plays a significant role in final NOx emissions with 30–40% of NOx formed being reduced by reburning in most cases. Modeling identified that operating the side burners in each burner zone slightly substoichiometric (while maintaining the overall furnace stoichiometry at 1.06) provided significant NOx reduction via reburning. NOx reductions of 23% and 30% were predicted when firing with COG and COG-NG-Air fuels, respectively. Overall furnace exit temperatures and heat flux profiles were not significantly affected by the biased firing.

Reduction of Fuel Utilization Through Oxygen-Enriched Combustion in a Reheat Furnace Pusher-Type

2021 ◽  
Author(s):  
Francisco J. Martinez Zambrano ◽  
Armin K. Silaen ◽  
Kelly Tian ◽  
Joe Maiolo ◽  
Chenn Zhou
Keyword(s):  
Heat Flux ◽  
Fuel Injection ◽  
Combustion Process ◽  
Oxygen Enrichment ◽  
Rolling Temperature ◽  
Heating Zone ◽  
Reheat Furnace ◽  
Steel Slabs ◽  
The Impact ◽  
Reheating Process

Abstract Steelmaking is an energy-intensive process. Thus, energy efficiency is highly important. Several stages of steelmaking involve combustion processes. One of the most energy-consuming processes in steelmaking is the slab reheating process in a reheat furnace (RF). The energy released by fuel combustion is used to heat steel slabs to their proper hot-rolling temperature. The steel slabs move through the reheat furnace passing the three stages of heating called: Preheating Zone (PZ), Heating Zone (HZ), and Soaking Zone (SZ) to finally leave the discharge door at a rolling temperature of 2375 °F. One way to improve a reheat furnace’s fuel consumption is by implementing oxygen-enriched combustion. This study investigates the implementation of oxygen-enriched combustion in a pusher-type reheat furnace. The increment of oxygen in the combustion process allows for increasing the furnace gas temperature. Consequently, the oxygen enrichment approach allows for the reduction of fuel injection. The principal goal of this investigation is to model the combustion-based on oxygen-enrichment and develop parametric studies of fuel injection rates. The different simulations aim to match the slab heat flux profile of the industrial reheat furnace pusher-type. Computational fluid dynamics are used to generate the slab heat flux distribution. To reach more uniform slab heating, oxygen and fuel ports were alternated. Also, injection angles were modified to optimize slab heating and avoid the impact of hot spots. Thermocouple readings of the industrial reheat furnace are compared to simulation results. The results determined that 40–45% fuel reduction can be achieved.

Scaling of Carbon Steel in Simulated Reheat Furnace Atmospheres

2005 ◽  
Vol 63 (1-2) ◽  
pp. 15-31 ◽  
Author(s):  
V. H. J. Lee ◽  
B. Gleeson ◽  
D. J. Young
Keyword(s):  
Carbon Steel ◽  
Reheat Furnace

scholarly journals Three Dimensional Transient Explicit Finite Difference Heat Transfer Modeling of Billet Transport

2013 ◽  
Vol 06 (2) ◽  
Keyword(s):  
Heat Transfer ◽  
Temperature Field ◽  
Finite Difference ◽  
Coming Out ◽  
Three Dimensional ◽  
Suitable Model ◽  
Billet Temperature ◽  
Reheat Furnace ◽  
Explicit Finite Difference ◽  
Force Calculation

In steel industries the billets are heated in reheat furnace. The billets coming out from reheat furnace are transported to the rolling mill. Prediction of billet temperature during transport is vital for several reasons, like energy optimization studies, process simulation, roll force calculation and quality of the final product. Inadequate temperature measuring instruments demands suitable model for billet temperature predictions. In the present work, conduction heat transfer within the billet is modeled using the explicit finite difference method. To solve three dimensional transient discretization equations, code has been developed and implemented in MATLAB ® . Validation of the proposed numerical model has been done using analytical solutions. The model predictions of billet temperature are shown to be in good concurrence with analytical results. The model is capable of predicting temperature distribution within the billet. The model is used to examine the effect of billet transport velocity on the temperature field of the billet. The objective of this work to apply simple simulation technique to high temperature industrial process for temperature field measurements. This type of simulation may be useful for temperature predictions, design and study of new or existing transport system for hot billet transport.

Numerical Analysis of Thermal Stress Development of Steel Slabs in a Pusher-Type Reheat Furnace

2021 ◽  
Author(s):  
Francisco Martinez ◽  
Bethany Worl ◽  
Xiang Li ◽  
Nicholas Walla ◽  
Armin Silaen ◽  
...  
Keyword(s):  
Thermal Stress ◽  
Numerical Analysis ◽  
Stress Development ◽  
Reheat Furnace ◽  
Steel Slabs

Hierarchical Optimisation for a Reheat Furnace and Rolling Mill System

1980 ◽  
Vol 13 (6) ◽  
pp. 517-527
Author(s):  
P.D. Roberts ◽  
W.N. Bailey
Keyword(s):  
Rolling Mill ◽  
Reheat Furnace

Heat transfer analysis of pusher type reheat furnace

2005 ◽  
Vol 32 (2) ◽  
pp. 151-158 ◽  
Author(s):  
J. Harish ◽  
P. Dutta
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Analysis ◽  
Reheat Furnace

scholarly journals Modelica model of industrial gas furnaces

2019 ◽  
Vol 116 ◽  
pp. 00003
Author(s):  
Iñigo Aranburu ◽  
Bakartxo Egilegor ◽  
Iñigo Bonilla ◽  
Jaio Manzanedo ◽  
Haizea Gaztañaga
Keyword(s):  
Heat Transfer ◽  
Simulation Model ◽  
Heat Recovery ◽  
Discrete Movements ◽  
Pressure Drops ◽  
Aluminium Industry ◽  
Combustion Gases ◽  
Reheat Furnace

Modelica models for the prediction of the temperature of the load inside a walking basket type reheat furnace of the aluminium industry have been developed. The loads move through the furnace with discrete movements. Several library components have been developed using the Modelica Standard Fluid Library. In order to validate them a full 1D furnace simulation model has been built. It allows calculating the heat transfer through walls, the temperature and the composition of combustion gases, the temperature of the aluminium products, as well as the fumes flow and the pressure drops. The library provides the necessary resources for modelling this type of furnaces flexibly and quickly. The objective of the work is to validate Modelica as analyse tool for evaluating the different possibilities of heat recovery in this kind on furnaces.

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