The microstructure of Al-Mg-Si alloys is gaining nowadays an increasing industrial interest because it influences the strength, crash, corrosion and esthetic properties of the extruded profiles. In order to investigate and predict the recrystallization behaviour in the extrusion of 6XXX aluminum alloys, experimental and numerical activities are still needed. In this work, the extrusion of an industrial-scale AA6060 aluminum alloy hollow profile was carried out. An innovative recrystallization model was developed and optimized by comparing the microstructural data experimentally acquired with the outputs of the simulation performed using the Finite Element commercial code Qform Extrusion. A good correlation between numerical prediction and experimental data was found, thus proving the reliability of the proposed AA6060 recrystallization model.
Experimental analysis and modeling of the recrystallization behaviour of a AA6060 extruded profile / Negozio, M.; Donati, L.; Pelaccia, R.; Reggiani, B.; Di Donato, S.. - 28:(2023), pp. 477-486. (Intervento presentato al convegno 26th International ESAFORM Conference on Material Forming, ESAFORM 2023 tenutosi a pol nel 2023) [10.21741/9781644902479-52].
Experimental analysis and modeling of the recrystallization behaviour of a AA6060 extruded profile
Pelaccia R.;Reggiani B.;
2023
Abstract
The microstructure of Al-Mg-Si alloys is gaining nowadays an increasing industrial interest because it influences the strength, crash, corrosion and esthetic properties of the extruded profiles. In order to investigate and predict the recrystallization behaviour in the extrusion of 6XXX aluminum alloys, experimental and numerical activities are still needed. In this work, the extrusion of an industrial-scale AA6060 aluminum alloy hollow profile was carried out. An innovative recrystallization model was developed and optimized by comparing the microstructural data experimentally acquired with the outputs of the simulation performed using the Finite Element commercial code Qform Extrusion. A good correlation between numerical prediction and experimental data was found, thus proving the reliability of the proposed AA6060 recrystallization model.File | Dimensione | Formato | |
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