CFD investigation of a vertical annealing furnace for stainless steel and non-ferrous alloys strips – A comparative study on air-staged &amp; MILD combustion

Mayrhofer, Markus; Koller, Michael; Seemann, Peter; Prieler, René Josef; Hochenauer, Christoph

doi:10.1016/j.tsep.2021.101056

Cited by 12 publications

(14 citation statements)

References 32 publications

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“…The k of low-carbon steel decreased with temperature, which is consistent with the previous results of plain carbon steels with body-centered cubic (BCC) structure [ 18 , 21 ]. By contrast, the k of TWIP steel increased with temperature, which is consistent with the results of stainless steels with face-centered cubic (FCC) structure [ 22 , 39 ]. The k of TWIP steel was approximately one third that of low-carbon steel.…”

Section: Resultssupporting

confidence: 85%

Comparison of Temperature Distribution between TWIP and Plain Carbon Steels during Wire Drawing

Hwang

2022

Materials

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The effect of the thermal properties of steels on wire drawing behavior has been investigated to understand and improve the wire drawing process. Finite element analysis and experimental tests were conducted to analyze the temperature distribution of the deformed specimens with different thermal properties. The thermal properties of twinning-induced plasticity (TWIP) steel were measured and compared with those of plain carbon steel. Based on the measurement of thermal properties, wire drawing behaviors were systematically compared with thermal conductivity of the specimen (k) using plain low-carbon steel with high k and TWIP steel with low k. The results revealed that the k of TWIP steel was approximately one third of that of low-carbon steel, and the thermal expansion coefficient of the TWIP steel was approximately 50% higher than that of low-carbon steel in the temperature range of 26–400 °C. The temperature distributions in the wire strongly depended on the k of the wire during wire drawing. TWIP steel exhibited higher maximum temperature, and took a longer time to attain the equilibrium temperature than low-carbon steel during wire drawing owing to the low k. The maximum temperature of the die increased with decreasing k of the wire, indicating that die wear can increase with decreasing k of the wire. Therefore, reducing the drawing speed is suggested for a wire with low k, such as high-alloyed metals, especially for TWIP steels.

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Section: Resultssupporting

confidence: 85%

Comparison of Temperature Distribution between TWIP and Plain Carbon Steels during Wire Drawing

Hwang

2022

Materials

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“…This section discusses the distinctions between the truncated model and the transient slab model developed by Prieler et al [5]. The model of Prieler [5] is extremely efficient in this regard, as it only simulates the steady-state behaviour and uses the heat fluxes as a time-varying boundary condition on a slab domain which is a small fraction of the size of the complete domain. Prieler's work showed the need for efficiency in modelling massive industrial installations and served as an inspiration for the presented modelling approach.…”

Section: Truncated Model and Transient Slab Modelmentioning

confidence: 99%

“…The continuity also results in higher stability while eliminating the need for iterations within a time step. Some examples of this approach can be seen in the works of Chakraborty et al [3,4], Mayrhofer et al [5], Liu et al [6] and Tang et al [7]. In the works of Chakraborty, a pusher type of reheat furnace is analysed and the charge (billets) is considered as a highly viscous fluid that moves through the furnace.…”

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confidence: 99%

Computationally efficient alternative to a full-scale transient simulation of a reheating furnace

Ahmed

T’Jollyn

Lecompte

et al. 2023

Thermal Science and Engineering Progress

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“…To obtain accurate results of aerodynamic and thermochemical processes in the furnace space with calculations of turbulent, reactive and heat flows for various boiler operating modes, CFD modeling is used, which allows for optimizing operating modes [15][16][17]. Gianmarco Aversano, Marco Ferrarotti and Alessandro Parente developed a reduced order model based on CFD simulations and performed 3D simulations with detailed chemistry covering a wide range of operating conditions in terms of fuel composition (methane hydrogen mixtures from pure methane to pure hydrogen) [18].…”

Section: Introductionmentioning

confidence: 99%

Applying the Random Forest Method to Improve Burner Efficiency

et al. 2022

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Fuel power plants are one of the main sources of pollutant emissions, so special attention should be paid to improving the efficiency of the fuel combustion process. The mathematical modeling of processes in the combustion chamber makes it possible to reliably predict and find the best dynamic characteristics of the operation of a power plant, in order to quantify the emission of harmful substances, as well as the environmental and technical and economic efficiency of various regime control actions and measures, and the use of new types of composite fuels. The main purpose of this article is to illustrate how machine learning methods can play an important role in modeling and predicting the performance and control of the combustion process. The paper proposes a mathematical model of an unsteady turbulent combustion process, presents a model of a combustion chamber with a combined burner, and performs a numerical study using the STAR-CCM+ multidisciplinary platform. The influence of various input indicators on the efficiency of burner devices, which is evaluated by several parameters at the output, is investigated. In this case, three possible states of the burners are assumed: optimal, satisfactory and unsatisfactory.

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CFD investigation of a vertical annealing furnace for stainless steel and non-ferrous alloys strips – A comparative study on air-staged & MILD combustion

Cited by 12 publications

References 32 publications

Comparison of Temperature Distribution between TWIP and Plain Carbon Steels during Wire Drawing

Comparison of Temperature Distribution between TWIP and Plain Carbon Steels during Wire Drawing

Computationally efficient alternative to a full-scale transient simulation of a reheating furnace

Applying the Random Forest Method to Improve Burner Efficiency

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