Assessment of Active Filters for High Quality Aluminium Cast Products

Brun, Pierre Le; Taina, Fabio; Voigt, Claudia; Jäckel, Eva; Aneziris, Christos G.

doi:10.1007/978-3-319-48251-4_133

Cited by 5 publications

(11 citation statements)

References 6 publications

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“…[16,17] Inclusions of size in the range 20-110 mm were detected, where the particles, belonging to different size classes of equal width, could be distinguished. [16,17] In the present investigation, however, the filtration efficiency for particles belonging only to the smallest size bin was considered.…”

Section: Experimental Process Conditionsmentioning

confidence: 99%

“…Accordingly, the process conditions in a pilot casting line, as described by Le Brun et al [16] and Voigt et al, [17] are employed. For the casting experiment, a resistance tilting furnace was employed in order to melt 730 kg AlSi7Mg0.3 ingots at 750 C. [16,17] A specific ceramic foam filter was inserted in the filtration box and was preheated to 650 C. [16,17] At the entrance of the filter, the melt temperature was recorded to be 735 C for the considered trial. [17] The physical properties of the liquid AlSi7Mg0.3 [18] and the alumina filter [19,20] at 700 C are provided in Table 1.…”

Section: Experimental Process Conditionsmentioning

confidence: 99%

“…In detail, alumina (Al 2 O 3 , 20-150 mm), spinel (MgAl 2 O 4 , 20-60 mm), mullite (3Al 2 O 3 2SiO 2 , 20-60 mm), and silicon carbide (SiC, 20-50 mm) particles were introduced in known quantities and in equal proportions. [16,17] The inclusions were added to the melt, which was then mechanically stirred inside the furnace in order to achieve an even particle concentration, before executing the casting operation. [16,17] The filtration efficiency was determined by employing two liquid metal cleanliness analyzers (LiMCA) in the casting line before and after the filter.…”

Section: Experimental Process Conditionsmentioning

confidence: 99%

“…[16,17] The inclusions were added to the melt, which was then mechanically stirred inside the furnace in order to achieve an even particle concentration, before executing the casting operation. [16,17] The filtration efficiency was determined by employing two liquid metal cleanliness analyzers (LiMCA) in the casting line before and after the filter. [16,17] Inclusions of size in the range 20-110 mm were detected, where the particles, belonging to different size classes of equal width, could be distinguished.…”

Section: Experimental Process Conditionsmentioning

confidence: 99%

“…[16,17] The filtration efficiency was determined by employing two liquid metal cleanliness analyzers (LiMCA) in the casting line before and after the filter. [16,17] Inclusions of size in the range 20-110 mm were detected, where the particles, belonging to different size classes of equal width, could be distinguished. [16,17] In the present investigation, however, the filtration efficiency for particles belonging only to the smallest size bin was considered.…”

Section: Experimental Process Conditionsmentioning

confidence: 99%

See 4 more Smart Citations

Non‐Isothermal Simulations of Aluminum Depth Filtration

Demuth

Werzner²,

Mendes

et al. 2017

Adv Eng Mater

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The present article addresses the modeling issues, related to the numerical simulation of aluminum depth filtration inside a real filter section in presence of non-negligible temperature variation. The filter structure is obtained by digitizing the computed tomography (CT) scanned data of a characteristic ceramic foam filter. The modeling takes the process conditions of a filtration trial in a pilot casting line into account. The incompressible flow of liquid aluminum is solved by the lattice Boltzmann method (LBM) and the heat transfer is solved by the finite volume method (FVM). The temperature dependences of the viscosity and the density of liquid metal are specifically considered. Although the consideration of buoyancy force significantly affects the fluid flow, the temperature-dependent viscosity plays only a minor role. A Lagrangian tracking of particles is performed for modeling the filtration of inclusions. In accordance with the depth filtration theory, the computational results confirm an exponential decrease in the particle concentration with the filter depth. The overall filtration efficiency is found to remain almost unaffected by both buoyancy and temperature-dependent viscosity. Using the numerically determined filtration coefficient, the filtration efficiency is extrapolated for a real filter of larger length, although the experimental data are underpredicted.

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Section: Experimental Process Conditionsmentioning

confidence: 99%

Section: Experimental Process Conditionsmentioning

confidence: 99%

Section: Experimental Process Conditionsmentioning

confidence: 99%

Section: Experimental Process Conditionsmentioning

confidence: 99%

Section: Experimental Process Conditionsmentioning

confidence: 99%

See 3 more Smart Citations

Non‐Isothermal Simulations of Aluminum Depth Filtration

Demuth

Werzner²,

Mendes

et al. 2017

Adv Eng Mater

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Influence of the Foam Morphology on the Mechanical Behavior of Flow‐Through Foam Filters During Filtration Processes

et al. 2021

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Artificial foam structures are used in all kinds of applications, for example, in filters, where non‐metallic inclusions are filtered out of the molten metal. The flow‐through of the fluid leads to a mechanical loading, which is influenced by the flow velocity, the viscosity of the fluid, the foam morphology, and the shape of the filter. Analytical and numerical approaches are being used to study the influence of different parameters on the mechanical response and the impact on local stresses at the foam struts. Finite element models of the foams are used to evaluate the homogenized stiffness tensor and to determine maximal local stresses in dependence of the macroscopic strain. On the macroscopic filter scale, an orthotropic Mindlin plate model is deployed. The results are compared with a FE2‐simulation.

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Metal Melt Filtration in a Water-Based Model System Using a Semi-automated Pilot Plant: Experimental Methods, Influencing Factors, Models

Daus,

Ditscherlein,

Hoppach

et al. 2024

Springer Series in Materials Science

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Even though ceramic foam filters for metal melt filtration have been used in the casting industry for many decades, the filtration mechanisms have not yet been satisfactorily determined. Due to the opaqueness of the melt and the need for high operating temperatures as well as the complexity of the aluminum casting process, filtration experiments are expensive and a detailed insight into the filtration process is hardly achievable. However, the analysis by means of a model system contributes to an essential understanding of the processes taking place. Metal melt systems are characterized by their high surface tension resulting in poor wettability of the solid surfaces in contact with the liquid melt. Therefore, the model system needs to exhibit both similar flow characteristics and wetting properties as the melt system to obtain reliable results. In this study, water was used as the model liquid and the wetting properties of the solid surfaces have been modified to mimic the characteristic wetting behavior of the melt-filter interface. The influence of filter and particle properties as well as process parameters on the filtration efficiency of ceramic foam filters have been investigated. In order to minimize possible overlapping effects in the determination of individual parameters influencing the separation efficiency, care was taken to vary only one parameter, so that the filtration is only dependent on one variable. Besides water-based filtration experiments, it is also possible to have a closer look on interaction forces between inclusion particles and the filter wall and how a higher filtration efficiency can be achieved. Here, too, a water-based model system is beneficial due to the same issues of available devices and costs.

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Assessment of Active Filters for High Quality Aluminium Cast Products

Cited by 5 publications

References 6 publications

Non‐Isothermal Simulations of Aluminum Depth Filtration

Non‐Isothermal Simulations of Aluminum Depth Filtration

Influence of the Foam Morphology on the Mechanical Behavior of Flow‐Through Foam Filters During Filtration Processes

Metal Melt Filtration in a Water-Based Model System Using a Semi-automated Pilot Plant: Experimental Methods, Influencing Factors, Models

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