About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Integrated Computational Materials Engineering for Physics-Based Machine Learning Models
|
| Presentation Title |
Effects of Temperature and Strain Rate on Dynamic Recrystallization and Recovery of Aluminum Alloy 2618 |
| Author(s) |
Venkata Yateendra Guthula, Matthew A. Steiner, Christopher Calhoun |
| On-Site Speaker (Planned) |
Venkata Yateendra Guthula |
| Abstract Scope |
Accurate process modeling is key to minimizing materials usage and maximizing throughput in closed die forging operations. Recent work has shown that the partitioning of mechanical work into both heat and microstructural evolution is a strong function of temperature, strain rate, and initial microstructure at strain rates in the range of 0.1-10/s, and that adiabatic heating is a function of strain and strain rate. In modeling of flow behavior, however, it is often assumed that the adiabatic correction factor and mechanical work partitioning factor are constant. This assumption currently drives inaccuracies in the physics-based models used to guide forging processes, to the extent that they have been found to predict melting where none occurs. The effects of strain rate and temperature on the dynamic recrystallization and recovery in a relevant forging alloy found to exhibit such behavior, aluminum 2618, will be presented to rectify the current experimental uncertainty. |