About this Abstract |
Meeting |
2nd World Congress on High Entropy Alloys (HEA 2021)
|
Symposium
|
2nd World Congress on High Entropy Alloys (HEA 2021)
|
Presentation Title |
High-throughput and Machine Learning Accelerated Discovery of Corrosion-resistant Alloy for Molten Salt Applications |
Author(s) |
Yafei Wang, Bonita Goh, Phalgun Nelaturu, Thien Duong, Najlaa Hassan, Raphaelle David, Michael Moorehead, Santanu Chaudhuri, Adam Creuziger, Jason Hattrick-Simpers, Dan J Thoma, Kumar Sridharan, Adrien Couet |
On-Site Speaker (Planned) |
Yafei Wang |
Abstract Scope |
Insufficient availability of molten salt corrosion-resistant alloys severely limits the deployment of a variety of promising molten salt technologies that could otherwise have significant societal impacts. To accelerate the alloy development for molten salt applications, a set of high-throughput alloy synthesis, corrosion testing, characterization, and modelling techniques were developed to examine the corrosion resistances of a broad range of high entropy alloys (HEAs) in molten salt. By using these techniques, the corrosion resistance of 75 FeCrMnNi HEAs with different compositions was characterized and used as a performance metric for a random forest regressor algorithm to predict the most corrosion-resistant alloys in molten salt. The predicted corrosion-resistant alloys were further tested and their corrosion resistance were compared with the existing commercial alloys, such as Hastelloy-N and stainless steel. This study demonstrates the successful deployment of an integrated platform to accelerate corrosion-resistant alloy development by about three orders of magnitude. |
Proceedings Inclusion? |
Undecided |