Abstract
Coarse grains at or near the surfaces of extruded aluminum profiles can have a major detri-mental influence on their ductility and surface quality. Thus, the extrusion industry aims to minimizecoarse grains while increasing the productivity of the process. Peripheral Coarse Grains (PCG) de-velop depending on local state variables such as temperature, strain and strain rate. Here we presenta microstructure based material model implemented into HyperXtrude™, capable of predicting thedevelopment of PCG by combining geometric Dynamic Recrystallization (gDRX) and conventionalgraingrowthmodels.Duetoitshistorydependence,themodelisimplementedtorunduringthewholetransient extrusion simulation. The first results of the predicted ram force as well as final grain distri-bution in the profile show reasonable agreement with experimental trials and electron backscattereddiffraction results.
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