Development of an Efficient Physical-Based Modeling Approach for the Prediction of Microstructure in Extrusion Processes
- Massivumformung
- Materialcharakterisierung
- Industrienahe Forschung
Funding | AiF/Stifterverband Metalle |
Project | 21682 N |
Contact | Jan Gerlach M. Sc. |
During hot extrusion the large plastic deformation together with recovery and recrystallization processes influence the grain structure and, thus, the mechanical properties of the profile. Therefore, the microstructure evolution has to be depicted as well in order to predict the product properties. This motivates the project objective, which is to develop a practical approach to predict the grain structure by means of numerical simulation. For this purpose, the physically-motivated Le-Junker model is used due to its fast runtime behavior. The model includes both microstructure-dependent and temperature-dependent model parameters and is calibrated using experimentally determined data from compression tests as well as numerically generated data from a physically-based model developed by Fraunhofer IWM in Freiburg, Germany (see figure). Finally, the Le-Junker model is validated by experimentally determined microstructure data from hot extrusion processes.