Prediction of the heating characteristic of billets in a walking hearth type reheating furnace using CFD

Prieler, René Josef; Mayr, Bernhard; Demuth, Martin; Holleis, Burkhardt; Hochenauer, Christoph

doi:10.1016/j.ijheatmasstransfer.2015.08.056

Cited by 80 publications

(22 citation statements)

References 27 publications

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“…For steel, a constant density of 7850 kg/m 3 was assumed. The thermal conductivity and the specific heat were temperature‐dependent according to Prieler et al The ceramic insulation, which was used for the wings, has a density of 185 kg/m 3 and a specific heat of 1030 J/(kg·K), respectively. The temperature‐dependent thermal conductivity is displayed in Figure .…”

Section: Experimental Setup—fire Resistance Test Furnacementioning

confidence: 99%

“…Therefore, the used combustion model is capable to predict the combustion process within a short calculation time, which makes it possible to use the proposed model for large‐scale furnaces and simulation of fires in large domains. The flamelet model in conjunction with a skeletal reaction mechanism (>10 species) was extensively tested under lab‐scale conditions and industrial furnaces as well as different combustion environments (eg, ). It was found in Prieler et al that the calculation time is 5 to 6 times higher when the eddy dissipation concept model (species transport model) is used instead of the flamelet model.…”

Section: Cfd Simulationmentioning

confidence: 99%

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Development of a numerical approach based on coupled CFD/FEM analysis for virtual fire resistance tests—Part A: Thermal analysis of the gas phase combustion and different test specimens

et al. 2018

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Summary In the present two‐parted study, a numerical approach is shown to consider fire resistance tests in virtual space, including the combustion, thermal analysis of the test specimen, and the deformation process. This part is dealing with the combustion process and thermal analysis of different building materials tested in a fire resistance furnace. Instead of using coupled computational fluid dynamics (CFD)/finite element method simulation for the combustion and thermal heat conduction in the solid, which is commonly used in literature, the present approach considers these transport phenomena in one CFD simulation. This method enables a two‐way coupling between the gas phase and the solid material, where chemical reactions and the release of volatile components into the gas phase can occur (eg, release of water vapour from gypsum). To validate the numerical model, a fire resistance test of a steel door, which is a multilayer construction, and a wall made of gypsum blocks were experimentally and numerically investigated. Due to the chemical reactions inside the gypsum, water vapour is released to the gas phase reducing the flue gas temperature about 80 K. This effect was taken into account using a two‐way coupling in the CFD model, which predicted temperatures in close accordance to the measurement.

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Section: Experimental Setup—fire Resistance Test Furnacementioning

confidence: 99%

Section: Cfd Simulationmentioning

confidence: 99%

Development of a numerical approach based on coupled CFD/FEM analysis for virtual fire resistance tests—Part A: Thermal analysis of the gas phase combustion and different test specimens

et al. 2018

Self Cite

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“…Some recent work made great progress on simulating the three‐dimensional reheat furnace to comprehensively investigate furnace behavior. Prieler took advantage of CFD techniques to predict the heating characteristics of billets in a walking hearth type reheat furnace . It was time‐efficient to analyze the transient heating process by CFD techniques coupling combustion reactions and the heating process.…”

Section: Introductionmentioning

confidence: 99%

“…Prieler took advantage of CFD techniques to predict the heating characteristics of billets in a walking hearth type reheat furnace. [14,15] It was timeefficient to analyze the transient heating process by CFD techniques coupling combustion reactions and the heating process. A novel iterative solution procedure was tested to consider the transient heating process in a three-dimensional walking hearth furnace.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Heat Transfer and Scale Formation in a Reheat Furnace

Liu

Worl

Tang

et al. 2018

steel research int.

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In steel rolling mills, reheat furnaces are used to reheat slabs to high temperatures in a highly oxidizing environment; this results in the formation of iron oxide scale on the slab surface. Scale formation poses an ongoing material and economic loss to industry and should be minimized where feasible. The kinetics of scale growth are complex and still not fully understood. Previous studies that modeled scale formation with mathematical methods are limited to simple case studies. Here, computational fluid dynamics (CFD) is used to simulate slab reheat furnace operations and to investigate complicated physical phenomenon. This paper proposes a new numerical method to model scale growth under varying conditions/characteristics including temperature, gas atmosphere composition, and steel grade. This method uses a mixed linear‐parabolic equation to model both the initial surface reaction (and scale formation) and the subsequent solid‐state ion diffusion through the developed scale. This model can be used to predict the amount of scale that will form on a slab under certain conditions. Model predictions were found to be consistent with experimental data.

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“…Considering various fuel feed conditions, Han et al [14] calculated radiative heat transfer using a finite volume method (FVM) and a blocked-off procedure was adopted for the treatment of the slabs. Prieler et al [15] predicted the gas phase combustion, heat transfer and transient heating characteristics of the billets in a furnace by computational fluid dynamics (CFD), and they found that 93% of the total heat flux to the billet comes from radiation. Emadi et al [16] developed a mathematical heat transfer model to investigate the heating characteristics of billets in a reheating furnace.…”

Section: Introductionmentioning

confidence: 99%