Abstract
The aim of this work is to present a workflow for the application of a multi-class grain size model, which describes the microstructure evolution during dynamic and post-dynamic recrystallization in forged UDIMET720LI components. In a first step, the distribution of the local microstructure in the as-received condition is characterized, which serves as an initial condition for the multi-class model. The recrystallization kinetics is analyzed through thermo-mechanical compression tests on a Gleeble ® 3800 simulator and large-area electron backscatter diffraction analysis providing recrystallized fractions and size distributions. A finite element approach is used to translate the global test parameters to the local strain history of the samples during thermo-mechanical testing. Subsequently, the results from experimental characterization and simulated Gleeble tests are utilized to calibrate a semi-empirical Avarami-type recrystallization model. Finally, the application of the multi-class model is demonstrated by predicting the grain size distribution for two different thermo-mechanical processing routes.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 2340-2357 |
| Seitenumfang | 18 |
| Fachzeitschrift | Metallurgical and materials transactions. A, Physical metallurgy and materials science |
| Jahrgang | 2026 |
| Ausgabenummer | Volume 57, Issue 5 |
| Frühes Online-Datum | 25 Feb. 2025 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Mai 2026 |
Bibliographische Notiz
Publisher Copyright:© The Minerals, Metals & Materials Society and ASM International 2026.
Dieses zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver