About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
|
Symposium
|
AI/Data informatics: Design of Structural Materials
|
Presentation Title |
High-throughput Calculation to Predict the Eutectic Point in Quaternary System |
Author(s) |
Jun Lu, Yu Zhong |
On-Site Speaker (Planned) |
Jun Lu |
Abstract Scope |
Eutectic point plays a significant role in the application of many alloys. However, limited by the visualization technology and heavy computation volume, finding the eutectic point in a quaternary or higher system is challenging and time-consuming. The high-throughput calculation, as a novel approach that combines CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) methodology with intelligent data construction and data screening, shows great potential in predicting key properties of metal alloys. By exploiting powerful computing ability, thousands of calculations can be executed by sets of code without supervision instead of manually performing the same calculation procedures. Here, we introduce a way to compute T-Liquidus and T-Solidus of large amount of compositions in complex alloy and screen the eutectic point based on the temperature difference using high-throughput calculation. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, |