About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
O-1: A CALPHAD Approach to Alloy Design for Printability and Performance When Additively Manufactured |
Author(s) |
Soumya Mohan, Branden Kappes, Akansha Singh, Ben Rafferty, Jeremy Iten, Sridhar Seetharaman, Aaron Stebner |
On-Site Speaker (Planned) |
Soumya Mohan |
Abstract Scope |
CALPHAD-based Integrated Computational Materials Engineering (ICME) approaches to design alloys for additive manufacturing (AM) are challenged by gaps between the quasi-equilibrium assumptions of CALPHAD and often non-equilibrium realities of AM, such as rapid cooling and complex thermal histories. Developing a computational framework that reliably predicts “easy-to-print” alloys with targeted properties is crucial to accelerating alloy design and reducing experimental trial-and-error. We present an approach that integrates CALPHAD calculations of liquidus temperatures, non-equilibrium weld solidification simulations based on Scheil-Gulliver models, hot cracking susceptibility, solidification driving forces of likely phases, and yield strength predictions. This approach combines computational modeling with metallurgical domain expertise and metaheuristic optimization methodologies and are demonstrated on austenitic stainless steels and 5000 series aluminum alloys for laser powder bed fusion. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, Additive Manufacturing, ICME |