Application of exchangeable carbon-bonded alumina foam filters in an industrial tundish for the continuous casting of steel

Wetzig, Tony; Baaske, Andreas; Karrasch, Sven; Brachhold, Nora; Rudolph, Martin; Aneziris, Christos G.

doi:10.1016/j.ceramint.2018.09.105

Cited by 34 publications

(27 citation statements)

References 28 publications

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“…A sketch of the prototypical industrial two‐strand tundish is shown in Figure . The operation condition for the melt flow is adopted to the adjustments of the industrial tundish experiments described by Wetzig et al Therefore, the massflow is

\overset{false˙}{m} = ρ Q = 140 {kg s}^{- 1}

, which yields to an inlet velocity of

U_{in} = \frac{4 Q}{π d_{in}^{2}} = 2.19 {m s}^{- 1}

based on the inlet diameter

d_{in} = 0.108 m

(see Figure ) and the material properties of Table . The Reynolds number at the inlet is

{Re}_{in} = \frac{4 Q}{π ν d_{in}} \approx 2.7 \times 10^{5}

and, for the bulk flow,

{Re}_{bulk} = \frac{Q}{ν h} \approx 2.3 \times 10^{4}

using the hydraulic diameter for the square tundish, which yields a turbulent flow regime.…”

Section: Simulation Setupmentioning

confidence: 99%

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Numerical Simulation of an Industrial‐Scale Prototypical Steel Melt Tundish Considering Flow Control and Cleaning Strategies

2019

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Herein, the increase in the cleanliness of steel melt is researched using an industrial‐scale prototypical tundish. State‐of‐the‐art alumina‐coated, carbon‐bonded ceramic foam hybrid filters are used, which combine different filtration strategies for the removal of nonmetallic inclusions (NMI) in steel melts. Reactive cleaning reduces a high amount of inclusions by means of flotation because of carbon monoxide bubbles. Their formation is based on a reaction between the dissolved carbon from the filter and the oxygen of the steel melt. The direct deposition of NMI at the filter surfaces is called active filtration. Numerical simulations are performed to compare the performance of flow‐controlling applications inside the tundish and different filter developments (shape and position) to increase the cleanliness of steel melt. The continuous steel melt, the dispersed NMI as well as the carbon monoxide bubbles are calculated with an Eulerian–Lagrangian approach focusing on the inclusion removal by active filtration and reactive cleaning.

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\overset{false˙}{m} = ρ Q = 140 {kg s}^{- 1}

, which yields to an inlet velocity of

U_{in} = \frac{4 Q}{π d_{in}^{2}} = 2.19 {m s}^{- 1}

based on the inlet diameter

d_{in} = 0.108 m

(see Figure ) and the material properties of Table . The Reynolds number at the inlet is

{Re}_{in} = \frac{4 Q}{π ν d_{in}} \approx 2.7 \times 10^{5}

and, for the bulk flow,

{Re}_{bulk} = \frac{Q}{ν h} \approx 2.3 \times 10^{4}

using the hydraulic diameter for the square tundish, which yields a turbulent flow regime.…”

Section: Simulation Setupmentioning

confidence: 99%

“…Inclusion cluster at the bottom of the filter was found, which additionally indicates active filtration. A clarification of the effective contribution of the different cleaning techniques to the total cleaning outcome is still not conclusive …”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of an Industrial‐Scale Prototypical Steel Melt Tundish Considering Flow Control and Cleaning Strategies

2019

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“…The CFFs are immersed in the induction crucible furnace (ICF) of the SCS to detect their efficiency and capability. These CFFs have shown high performance and capability in industrial tundish as well …”

Section: Introductionmentioning

confidence: 99%

“…These CFFs have shown high performance and capability in industrial tundish as well. [6,7] Many numerical and experimental investigations have been carried out to predict melt flow in an ICF. [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] Numerous authors have reported that the large eddy simulation (LES) produces fairly accurate heat and mass transfer predictions, compared with the unsteady Reynolds-averaged Navier-Stokes (URANS) simulations.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Filtration Influenced by Microscale CO Bubbles in Steel Melt

2019

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Herein, the influence of the formation of carbon monoxide bubbles on steel cleaning and inclusion removal is addressed. The focus herein is the effect of filter surface bubbles formation on the level of melt cleanliness and the cleaning efficiency. The CO bubbles develop due to the reaction between carbon and oxygen on the filter's surface. A numerical model is developed to consider the effect of this phenomenon on the cleanliness of steel melt. The CO bubbles leave the filter and capture nonmetallic inclusions, moving them upward in the melt, eventually transporting the inclusions to the free surface of the melt, where they are deposited and removed from the melt. In this model, it is assumed that the bubble volume increases either linearly or exponentially because of this reaction. The results show that the formation of CO bubbles on the filter walls does not significantly increase the number of removed inclusions from the melt compared with the formation of bubbles on the inclusion surface. These results indicate that the formation of CO bubbles on the inclusions surface is the primary cause for the increase of cleanliness of the melt.

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“…The increasing demand for advanced steel products with superior mechanical properties considers the application of new filtration systems in the longer steel casting processes as a noteworthy idea. Besides, high filtration efficiency for long times and elevated mechanical strength at high temperatures must be regarded as the key points to achieve a desired filtration system which has the capability of using in the longer steel casting processes such as continuous casting of steel …”

Section: Introductionmentioning

confidence: 99%

Correlation of microstructure and mechanical properties of Al₂O₃‐C bodies containing Nano‐Al₂O₃ and Nano‐TiO₂ additives

Baghaei

Nourbakhsh

Kahrizsangi

et al. 2019

Int J Applied Ceramic Tech

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Al 2 O 3 -C foam filters have been successfully used for steel and aluminum melts filtration. Improving the high-temperature mechanical properties enhances the capability and application of these filters for the filtration of large steel casting parts along with ingot casting or continuous casting of steel for long periods of time. In this study, adding nano-Al 2 O 3 and/or nano-TiO 2 to the composition of Al 2 O 3 -C filters was investigated. Uniaxially pressed Al 2 O 3 -C samples containing additives in the range from 0 to 1.0 wt% of nano-oxides were prepared. The physical and mechanical properties, as well as microstructural analysis, were measured after sintering at 1600°C for 5 hours under a petroleum coke bed. The results showed that the presence of nano-Al 2 O 3 particles in the composition led to an increase in the cold crushing strength (CCS) due to the formation of the Al 3 CON phase which acts as a chemical bonding between Al 2 O 3 particles and the carbonaceous matrix. On the other hand, the addition of 1.0 wt% of nano-TiO 2 in the composition caused an increase of 50% in the hot modulus of rupture (HMOR), attributed to the formation of columnar Al 2 O 3 grains in the microstructure.

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Application of exchangeable carbon-bonded alumina foam filters in an industrial tundish for the continuous casting of steel

Cited by 34 publications

References 28 publications

Numerical Simulation of an Industrial‐Scale Prototypical Steel Melt Tundish Considering Flow Control and Cleaning Strategies

Numerical Simulation of an Industrial‐Scale Prototypical Steel Melt Tundish Considering Flow Control and Cleaning Strategies

Numerical Investigation of Filtration Influenced by Microscale CO Bubbles in Steel Melt

Correlation of microstructure and mechanical properties of Al₂O₃‐C bodies containing Nano‐Al₂O₃ and Nano‐TiO₂ additives

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Application of exchangeable carbon-bonded alumina foam filters in an industrial tundish for the continuous casting of steel

Cited by 34 publications

References 28 publications

Numerical Simulation of an Industrial‐Scale Prototypical Steel Melt Tundish Considering Flow Control and Cleaning Strategies

Numerical Simulation of an Industrial‐Scale Prototypical Steel Melt Tundish Considering Flow Control and Cleaning Strategies

Numerical Investigation of Filtration Influenced by Microscale CO Bubbles in Steel Melt

Correlation of microstructure and mechanical properties of Al2O3‐C bodies containing Nano‐Al2O3 and Nano‐TiO2 additives

Contact Info

Product

Resources

About

Correlation of microstructure and mechanical properties of Al₂O₃‐C bodies containing Nano‐Al₂O₃ and Nano‐TiO₂ additives