Coupled SPH-DEM to Simulate the Injection of a Powder into a Liquid with Heat Transfer and Phase Change

Roger, T.; Fraser, Kirk; Kiss, László I.; Poncsák, Sándor; Guérard, Sébastien; Bilodeau, Jean‐François; Bonneau, G.; Santerre, R.

doi:10.1007/978-3-030-65396-5_53

Cited by 2 publications

(2 citation statements)

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“…4 Model of the raft formation, from Fig. 5 of [13] Fig. 5 a The velocity field in the bath and deformed quasi-stationary interface deviation dH (m) between the liquid metal and the electrolyte in the cell.…”

Section: Various Model Inputs and Resultsmentioning

confidence: 99%

“…Recently, at least one model was developed to specifically reproduce what happens when a given mass of cold solid alumina particles is added to the bath [13]. Figure 4 displays the predicted initial formation of a raft which is composed of frozen bath particles containing a shipment of dry alumina particles remaining at an incoming density to ensure the floatation of the raft.…”

Section: Introductionmentioning

confidence: 99%

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Advanced Alumina Dissolution Modelling

Bojarevics

Dupuis²

2022

Light Metals 2022

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Alumina feeding requires optimization for the feed amount, timing, and point feeder locations. The alumina raft formation and dispersion are the essential stages leading to the particles of various sizes travel with the bath flow along anodes in the central channel, in the bath volume beneath the anodes, and gradually dissolving. The raft motion and particles are traced accounting for their inertia, drag in the turbulent flow, the dome-shaped anode bottom shape. Large-scale MHD-driven circulation in the cell is modelled using specific inputs corresponding to real commercial cells of various types. The feed material forming rafts and particles is added periodically, moves with the flow, and gradually dissolves depending on the local turbulence and instantaneous concentration in a location. The newly developed modelling technique is applied to illustrate possible optimization of the feeder locations, the variable mass, and feeding time intervals for possible adjustments suitable for commercial cells.

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Section: Various Model Inputs and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%