|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||High Performance Steels
||Design and Characterization of Abrasion-resistant Steel Coatings for Nuclear Industry
||Lisa Rateau, Franck Tancret, Anna Fraczkiewicz, Jean Dhers, Gérard Ramstein
|On-Site Speaker (Planned)
In order to prevent the activation of <sup>60</sup>Co cobalt particles in the primary circuit of nuclear reactors, it is necessary to replace cobalt-based alloys of the Stellite type, used as abrasion-resistant coatings, with cobalt-free alloys. No material tested so far displays equivalent properties. In this work, both machine learning and CALPHAD (Calculation of Phase Diagrams) thermodynamic models were used to calculate microstructure and performance criteria, and exploited by a multi-objective genetic algorithm to design abrasion-resistant steels. Some of them have been elaborated and characterized (SEM, XRD, TEM, EBSD, mechanical testing…) to verify the agreement between predictions and actual microstructure and properties. Notably, measured hardness and wear resistance fit with data mining models, and these steels have a better abrasion resistance than Stellite alloys. To verify the compatibility with nuclear industry requirements, high temperature mechanical properties have been measured.
||Nuclear Materials, Computational Materials Science & Engineering, Characterization