About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
O-16: Ternary Phase Diagram Determination for Understanding and Modeling of the TCP Phase Formation in Ni-based Superalloys |
Author(s) |
Chuangye Wang, Hui Sun, ShunLi Shang, Zi-Kui Liu, Ji-Cheng Zhao |
On-Site Speaker (Planned) |
Chuangye Wang |
Abstract Scope |
Ni-based superalloys are used to make the most critical components of jet engines and power generation gas turbines. Formation of the topologically close-packed (TCP) phases (Sigma, Mu, Ρ and Laves) is detrimental to the properties of superalloys when highly alloyed with refractory elements. Accurate predictions of TCP phase formation will significantly accelerate alloy and process development by reduction of both the long-term exposure experiments and the number of experimental iterations. Diffusion multiples are utilized to collect large amount of tie-line data for the ternary systems within the Cr-Fe-Mo-Nb-Ni system. The large amount of data from our experiments and from the literature are fed to high-throughput assessments using the ESPEI open-source package to obtain more reliable thermodynamic parameters for reliable predictions for TCP phase formation. |
Proceedings Inclusion? |
Planned: |
Keywords |
High-Temperature Materials, Computational Materials Science & Engineering, ICME |