About this Abstract |
Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
Presentation Title |
ExtremeMAT (XMAT) — Recent Progress and Lessons Learned |
Author(s) |
Ram Devanathan, Laurent Capolungo, Jeffrey A. Hawk, Ellen K. Cerreta, Gabriel Ilevbare, Matthew J. Kramer, Sergei O Kucheyev, David E. Alman, Edgar Lara-Curzio |
On-Site Speaker (Planned) |
Laurent Capolungo |
Abstract Scope |
The objective of eXtremeMAT (XMAT) is to demonstrate how state-of-the-art computational materials modeling and cutting-edge experimental tools across the National Laboratory enterprise in conjunction with industry partnership can accelerate the development and deployment of new heat resistant alloys for fossil energy applications. XMAT integrates multiscale materials modeling, data analytics, and experiments to design new heat-resistant alloys and predict the remaining life of alloys currently used in existing plants. Successful completion of the XMAT project will lead directly to an enlarged performance envelope of current generation FE alloys by redefining the relationship between fabrication and processing, microstructural stability, and mechanical behavior. This talk will review the overall ICME philosophy of XMAT, lessons learned and recent progress by the program in alloy design, processing and fabrication, microstructural characterization, constitutive modeling framework development, model validation, thermodynamic calculations, and machine learning. Funding: XMAT is funded by DOE’s Fossil Energy Program, through its High Performance Materials Program. |
Proceedings Inclusion? |
Definite: Other |