中國(guó)有色金屬學(xué)報(bào)(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 34 No. 10 October 2024 |
（1. University of Parma - Department of Engineering and Architecture, Parco Area delle Scienze, 181/A, 43124 Parma, Italy;
2. Hydro, Innovation and Technology, Myrk？rrsv？gen 1, 612 31 Finsp？ng, Sweden;
3. DISMI Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2, 42122, Reggio Emilia, Italy;
4. InterMech - MO.RE – University of Modena and Reggio Emilia, Piazzale Europa 1, Reggio Emilia 42124, Italy;
5. DIN Department of Industrial Engineering – University of Bologna, Viale Risorgimento 2, 40136, Bologna, Italy）
Abstract:An innovative approach was introduced for the development of a AA6063 recrystallization model. This method incorporated a regression-based technique for the determination of material constants and introduced novel equations for assessing the grain size evolution. Calibration and validation of this methodology involved a combination of experimentally acquired microstructural data from the extrusion of three different AA6063 profiles and results from the simulation using the Qform Extrusion UK finite element code. The outcomes proved the agreement between experimental findings and numerical prediction of the microstructural evolution. The trend of the grain size variation based on different process parameters was accurately simulated, both after dynamic and static recrystallization, with an error of less than 25% in almost the whole sampling computations.
Key words: recrystallization simulation; aluminum alloy extrusion; finite element method; microstructure prediction
