About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
|
Symposium
|
AI/Data informatics: Design of Structural Materials
|
Presentation Title |
Design of Ti-Al-Cr-V Alloys for Maximum Thermodynamic Stability |
Author(s) |
Rajesh Jha, George S. Dulikravich |
On-Site Speaker (Planned) |
Rajesh Jha |
Abstract Scope |
Chemistries of Ti-Al-Cr-V alloys were computationally Pareto-optimized for simultaneously maximizing the Young’s modulus and minimizing density for a range of temperatures. Compositions at different temperatures of these alloys were then analyzed for phase stability in order to generate new data for compositions and volume fractions of stable phases at various temperatures. This resulted in a large dataset where a lot of data were still missing as all the phases are not stable at a given temperature for all the compositions. The concept of Self Organizing Maps was then applied to correlate alloy compositions, stabilities of desired phases at various temperatures, associated Young’s moduli and densities, and the effect of the composition of phases on these properties. This work should help alloy designers to determine the required chemical composition of a new alloy with reference to the temperature of application and see the effect on stable phases and properties of alloys. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, High-Temperature Materials, Titanium |