Over the last decades, the tendency to cast larger ingots has led to constant increases in the size of aluminumAluminum holding furnacesHolding furnaces. The RFI/Rotary Flux Injector© technology has demonstrated excellent alkali removalRemoval performances in holding furnacesHolding furnaces with capacities up to 100 metric tons. As the trend continues towards the use of ever-larger holding furnacesHolding furnaces, it was felt necessary to verify the efficiency of the RFI in larger capacity furnacesFurnace. A study was therefore conducted using computational fluid dynamicsComputational Fluid Dynamics (CFD) to analyze the RFI’s key process parameters, such as impeller geometry, in-furnaceFurnace placement, and process time, in furnacesFurnace with capacities ranging from 80 to 200 metric tons. The results of this study about the impact of furnaceFurnace size on mixingMixing dynamics will be presented here.

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Optimization of RFI Performances in Large Furnaces Through Mathematical Simulations

  • Sylvain Tremblay,
  • Bruno Blais

摘要

Over the last decades, the tendency to cast larger ingots has led to constant increases in the size of aluminumAluminum holding furnacesHolding furnaces. The RFI/Rotary Flux Injector© technology has demonstrated excellent alkali removalRemoval performances in holding furnacesHolding furnaces with capacities up to 100 metric tons. As the trend continues towards the use of ever-larger holding furnacesHolding furnaces, it was felt necessary to verify the efficiency of the RFI in larger capacity furnacesFurnace. A study was therefore conducted using computational fluid dynamicsComputational Fluid Dynamics (CFD) to analyze the RFI’s key process parameters, such as impeller geometry, in-furnaceFurnace placement, and process time, in furnacesFurnace with capacities ranging from 80 to 200 metric tons. The results of this study about the impact of furnaceFurnace size on mixingMixing dynamics will be presented here.