About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advances in Ceramic Materials and Processing
|
| Presentation Title |
Data-Driven Design and Rapid Evaluation of Novel Thermal Barrier Coatings |
| Author(s) |
Kevin Kaufmann, Timothy Sharobem, Jonathan Gutleber, Naixie Zhou, James Vecchio, Christopher Dambra, Jonathon Bracci |
| On-Site Speaker (Planned) |
Kevin Kaufmann |
| Abstract Scope |
Thermal barrier coatings are an important component of aero and gas turbine engines. The fundamental purpose being to enable higher operating temperatures to improve engine efficiency, durability, and power output. It is desirable that thermal barrier coatings have low thermal conductivity, high toughness, high thermal cyclability, and high resistance to the many chemistries of CMAS. YSZ and Gd2Zr2O7 were developed in the 1980’s and early 2000’s; respectively. While many other classes of materials have been evaluated, few have been adopted commercially. With the recent advent of high entropy oxides, the number of possible compositions has increased exponentially such that this multi-objective problem is intractable for human intuition alone. Herein, it will be demonstrated that the conventional wisdom of thermal barrier coating composition design can be enhanced by employing materials informatics. This is accomplished using a combination of thermodynamic modeling, artificial intelligence, and high-throughput experimental validation. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
High-Entropy Alloys, High-Temperature Materials, Ceramics |