| About this Abstract |
| Meeting |
MS&T23: Materials Science & Technology
|
| Symposium
|
Steels for Sustainable Development II
|
| Presentation Title |
Enabling the Design of Industrial Heat Treatments with Induction-coupled Thermomagnetic Processing Using Multiscale Modeling and Simulation |
| Author(s) |
Michael R. Tonks, Richard Hennig, Dallas Trinkle, Ling Li, Charlie Li |
| On-Site Speaker (Planned) |
Michael R. Tonks |
| Abstract Scope |
Induction-coupled thermomagnetic processing (ITMP) enables heat treatment of steels with lower energy usage. ITMP achieves this by coupling induction heating with a high magnetic field that changes the kinetic and thermodynamic properties. However, before this approach can see large commercial use, computational tools are needed that can design heat treatments to deliver specific properties and performance. We are using a multiscale approach coupling modeling and experimental data to add the capability to accurately predict steel alloy behavior during ITMP to the DANTE heat treatment simulation software. Atomic-scale simulations are investigating the impact of an applied magnetic field on the thermodynamics and kinetics of the iron-carbon system. A mesoscale phase field model is being developed in the MOOSE framework to predict the iron-carbon microstructure that forms during the ITMP process. Mesoscale mechanics simulations are being used to predict the mechanical properties of materials heat treated with ITMP. |