| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
O-2: A Model Fusion Approach to Modeling Microstructure Development during Heat Treatment |
| Author(s) |
Richard Andrew Couperthwaite, Raymundo Arróyave, Ankit Srivastava, Douglas Allaire, Ibrahim Karaman |
| On-Site Speaker (Planned) |
Richard Andrew Couperthwaite |
| Abstract Scope |
Advanced high strength steels are essential to the automotive industry and efforts to increase the strength to density ratio of these materials relies on the tailoring of composition and heat treatment procedures. Utilizing the processing-structure-property design paradigm it is necessary to be able to predict the microstructure of materials from a given processing procedure. In most cases, doing this prediction accurately requires highly expensive computations or experiments. However, there are low cost, empirical models that are capable of predicting some of the trends in the results. Therefore, using a model fusion technique known as Reification, it is possible to fuse these multi-fidelity models together in a process that allows for the design of relatively complex heat treatment procedures for steel materials while dramatically reducing the use of both costly computation and experimental methods. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |