| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced High Strength Steels IV
|
| Presentation Title |
Process Design and Genetic Optimization of HSLA Steels Using Mean-field and Multi-phase Field Modeling |
| Author(s) |
Maria-Ioanna T. Tzini, Gregory N. Haidemenopoulos |
| On-Site Speaker (Planned) |
Maria-Ioanna T. Tzini |
| Abstract Scope |
The optimization of the thermomechanical control process of HSLA steels remains a challenging problem in pipeline industrial applications. Controlling the microstructural evolution during multipass hot-rolling and identifying the effect of processing parameters on the microstructure is the key to process design. In the present study, a mean-field model integrated with a Kampmann-Wagner numerical precipitation model was developed for the description of static recrystallization kinetics of austenite and the strain induced precipitation kinetics of niobium carbonitrides after the multipass hot-rolling of HSLA plates. By applying specific process design criteria, the optimum processing variables such as the reduction per pass and interpass times are derived using genetic algorithms and multi-phase field modeling coupled with CALPHAD tools. The ability to describe and control the degree of microstructural homogeneity and its dependence on the processing parameters constitutes this method an effective integrated computational tool for materials process design. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |