TY - GEN
T1 - Simulation of the evolution of microstructure during extrusion of an AA6082
AU - Kronsteiner, Johannes
AU - Horr, Amir
A2 - Hovden, Sindre Løver
A2 - Carlone, Pierpaolo
A2 - Filice, Luigino
A2 - Umbrello, Domenico
PY - 2025/5/7
Y1 - 2025/5/7
N2 - In the present paper, the commercial FE solver HyperXtrude was used to simulate the extrusion process of a complex profile geometry with an AA6082 recycling alloy. Several material particles were traced from the start of the billet till the end of the profile. The state variables temperature, strain and strain rate were extracted from the extrusion simulations and used as input along with measured microstructural properties in a postprocessing routine. A standalone Fortran code was used to calculate the evolution of the microstructure during extrusion. The whole history of the material during the process was considered, allowing for an accurate depiction of the history of the microstructure during extrusion. Using the simulation results, a reduced order model was created. With the presented approach, data real time models could be generated to accurately predict the evolution of macroscopic temperature and microstructure during extrusion using a small database of simulation results.
AB - In the present paper, the commercial FE solver HyperXtrude was used to simulate the extrusion process of a complex profile geometry with an AA6082 recycling alloy. Several material particles were traced from the start of the billet till the end of the profile. The state variables temperature, strain and strain rate were extracted from the extrusion simulations and used as input along with measured microstructural properties in a postprocessing routine. A standalone Fortran code was used to calculate the evolution of the microstructure during extrusion. The whole history of the material during the process was considered, allowing for an accurate depiction of the history of the microstructure during extrusion. Using the simulation results, a reduced order model was created. With the presented approach, data real time models could be generated to accurately predict the evolution of macroscopic temperature and microstructure during extrusion using a small database of simulation results.
U2 - 10.21741/9781644903599-89
DO - 10.21741/9781644903599-89
M3 - Conference Proceedings with Oral Presentation
SN - ISSN 2474-3941
VL - 54
T3 - Materials Research Proceedings
SP - 829
EP - 837
BT - Material Forming – ESAFORM 2025
ER -