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A multi-scale 3D model of the vacuum arc remelting process

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The article was published on 2012-01-01 and is currently open access. It has received 17 citations till now. The article focuses on the topics: Scale (ratio) & Vacuum arc remelting.

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Citations
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Numerical modelling of acoustic streaming during the ultrasonic melt treatment of direct-chill (DC) casting

TL;DR: The proposed numerical model couples acoustic cavitation, fluid flow, heat and species transfer, and solidification to predict the flow pattern, acoustic pressure, and temperature fields in the sump of a direct-chill (DC) casting process for the first time.
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Modeling and control of remelting in high-energy beam additive manufacturing

TL;DR: In this article, the authors make use of computer simulations to explicitly study remelting in laser- or electron beam-melting additive manufacturing, by explicitly implementing phase transformations between the powder, the liquid, and the bulk.
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Numerical investigation on the effect of fill ratio on macrosegregation in electroslag remelting ingot

TL;DR: In this paper, a transient three-dimensional (3D) model was developed to understand the role fill ratio plays in the macrosegregation induced by the magnetohydrodynamic (MHD) thermosolutal convection in the electroslag remelting (ESR) process.
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A Parametric Study of the Vacuum Arc Remelting (VAR) Process: Effects of Arc Radius, Side-Arcing, and Gas Cooling

TL;DR: In this article, a numerical model is proposed to investigate the influence of several decisive parameters such as arc mode (diffusive or constricted), amount of side-arcing, and gas cooling of shrinkage gap at mold-ingot interface on the solidification behavior of a Titanium-based (Ti-6Al-4V) VAR ingot.
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On the Modeling of Thermal Radiation at the Top Surface of a Vacuum Arc Remelting Ingot

TL;DR: In this paper, two models have been implemented for calculating the thermal radiation emitted at the ingot top in the VAR process, namely, a crude model that considers only radiative heat transfer between the free surface and electrode tip and a more detailed model that describes all radiative exchanges between ingot, electrode, and crucible wall using a radiosity method.
References
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A model of solidification microstructures in nickel-based superalloys: predicting primary dendrite spacing selection

TL;DR: In this paper, a combined cellular automaton-finite difference (CA-FD) model was developed to simulate solute diffusion controlled solidification of binary alloys, which is capable of simulating the growth of equiaxed and columnar dendritic grains in 2D and 3D.
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Instabilities of the liquid and mushy regions during solidification of alloys

TL;DR: In this article, two modes of compositional convection during solidification from below are uncovered using a linear-stability analysis: one is driven by buoyant residual fluid within a mushy layer, or porous medium, of dendritic crystals; the other, which we shall call the " boundary-layer mode " is associated with a narrow compositional boundary layer in the melt just above the mush-liquid interface.
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Theory of Electromagnetophoresis. I. Magnetohydrodynamic Forces Experienced by Spherical and Symmetrically Oriented Cylindrical Particles

TL;DR: In this paper, the conditions for equilibrium of an homogeneous fluid are established and forces upon particles suspended in the fluid are determined for spherical bodies and long cylindrical bodies oriented parallel to the magnetic field, to the electric current, and to the exerted force.
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The breakdown of single-crystal solidification in high refractory nickel-base alloys

TL;DR: In this paper, the breakdown of single-crystal solidification has been studied over a wide range of solidification conditions in ten superalloys with large variations in Re, Ta, and W content.
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Multiscale modelling of solidification microstructures, including microsegregation and microporosity, in an Al–Si–Cu alloy

TL;DR: In this paper, a multiscale model of grain and pore formation is presented during solidification, where a combined stochastic-deterministic approach based on the cellular automata method is used to solve multicomponent diffusion in a three-phase system, simulating the nucleation and growth of both grains and pores.
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