Process-scale modelling of microstructure in direct chill casting of aluminium alloys

Bedel, Marie; Heyvaert, Laurent; Založnik, Miha; Combeau, Hervé; Daloz, D.; Lesoult, G.

doi:10.1088/1757-899x/84/1/012100

Cited by 8 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Overall, the grain sizes predicted in this model are realistic and similar to sizes reported in Refs [11,41] . A more detailed discussion of grain size prediction in process-scale modeling of DC casting was presented recently by Bedel et al [42] .…”

Section: Bresults and Discussionmentioning

confidence: 99%

A Simplified Three-Phase Model of Equiaxed Solidification for the Prediction of Microstructure and Macrosegregation in Castings

Tveito

Pakanati

M’Hamdi

et al. 2018

Metall Mater Trans A

View full text Add to dashboard Cite

Macrosegregation is a result of the interplay of various transport mechanisms, including natural convection, solidification shrinkage, and grain motion. Experimental observations also indicate the impact of grain morphology, ranging from dendritic to globular, on macrosegregation formation. To avoid the complexity arising due to modelling of an equiaxed dendritic grain, we present the development of a simplified three-phase, multiscale equiaxed dendritic solidification model based on the volume averaging method, that accounts for the above-mentioned transport phenomena. The validity of the model is assessed by comparing it to the full three phase model without simplifications. It is then applied to qualitatively analyze the impact of grain morphology on macrosegregation formation in an industrial scale direct chill (DC) cast aluminium alloy ingot.

show abstract

Section: Bresults and Discussionmentioning

confidence: 99%

A Simplified Three-Phase Model of Equiaxed Solidification for the Prediction of Microstructure and Macrosegregation in Castings

Tveito

Pakanati

M’Hamdi

et al. 2018

Metall Mater Trans A

View full text Add to dashboard Cite

show abstract

“…The modeling of the grain formation therefore requires a detailed description of the coupling between nucleation and growth kinetics, and the macroscopic transport phenomena. With a strongly coupled modeling of all these phenomena we have succeeded for the first time to predict the coupling of the formation of the grain structure and of the macrosegregation in direct-chill castings [14,21,28]. We used the model to simulate the solidification of a 5182-alloy industrial scale sheet ingot.…”

Section: Application To DC Casting Of Aluminum Alloysmentioning

confidence: 99%

“…Profiles of average grain diameter across the ingot thickness were obtained by image analysis of optical microscopy samples [32]. The thermophysical properties, process parameters and boundary conditions used in the simulations are given in [14,28]. The 5182 alloy was modeled by a binary Al-4.06 wt%Mg system, since magnesium has the dominant effect on the solidification interval and on the liquid density variations.…”

Section: Application To DC Casting Of Aluminum Alloysmentioning

confidence: 99%

Predictive Capabilities of Multiphysics and Multiscale Models in Modeling Solidification of Steel Ingots and DC Casting of Aluminum

Combeau

Založnik

Bedel

2016

JOM

View full text Add to dashboard Cite

Prediction of solidification defects, such as macrosegregation and inhomogeneous microstructures constitutes a key issue for the industry. The development of models of casting processes needs to account for several imbricated length scales and different physical phenomena. For example, the kinetics of the growth of microstructures needs to be coupled with the multiphase flow at the process scale. We introduce such a state-of-the-art model and outline its principles. We present the most recent applications of the model to casting of a heavy steel ingot and to direct chill casting of a large Al alloy sheet ingot. Their ability to help in the understanding of complex phenomena, such as the competition between nucleation and growth of grains in the presence of convection of the liquid and of grain motion is shown, and its predictive capabilities are discussed. Key issues for future developments and research are addressed.

show abstract

“…The inertial forces and the momentum transfer by collisions between grains are neglected in the momentum balance for the solid phase in the slurry zone. More sophisticated models [22,23] account for these modes of momentum transport by including inertial terms and a pseudoviscous stress in the solid-momentum equation. Studies performed with an extended version of our model, which included the additional momentum terms [23], have shown that they only start to play a role when the grain packing fractions are high (typically higher than 0.5).…”

Section: Model Descriptionmentioning

confidence: 99%

A model study of the impact of the transport of inoculant particles on microstructure formation during solidification

Bedel

Tveito

Založnik

et al. 2015

Computational Materials Science

View full text Add to dashboard Cite

Process-scale modelling of microstructure in direct chill casting of aluminium alloys

Cited by 8 publications

References 10 publications

A Simplified Three-Phase Model of Equiaxed Solidification for the Prediction of Microstructure and Macrosegregation in Castings

A Simplified Three-Phase Model of Equiaxed Solidification for the Prediction of Microstructure and Macrosegregation in Castings

Predictive Capabilities of Multiphysics and Multiscale Models in Modeling Solidification of Steel Ingots and DC Casting of Aluminum

A model study of the impact of the transport of inoculant particles on microstructure formation during solidification

Contact Info

Product

Resources

About