CombiMet : Combinatorial metallurgy : high throughput mapping in time and compositional space of the microstructure of advanced alloys

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Authors: Imed-Eddine Benrabah, Bourdais, Romain, Clélia Couchet, Joao Leonardo Da Silva Trosdtorf, Rémi Daudin, Arina A. DeBoer, Alexy Decroocq, Benoît Denand, A. Deschamps, Steve Gaudez, Guillaume Géandier, H. S. Jean
+8 more Merlin Kempf, Vuk Manojlovic, Charles Monsallier, Digvijay Singh, Alan Vaissière, Hugo Paul Van Landeghem, Hugues Verrier, Konstantin V. Werner
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Abstract

The design space of alloys encompasses composition and processing parameters. Exploring the link between these and the microstructure, which control properties, allows feeding materials models and design new alloys. CombiMet will set-up on ID31 a high throughput methodology that will improve drastically the efficiency of this exploration, based on combined space- and time-resolved HEXRD on on materials with composition gradients, giving access to mapping of microstructure evolution kinetics in parameter space. This methodology involves the development of sample environments for in-situ thermo-mechanical processing with fast continuous sample translation synchronized with fast data acquisition. AI-aided data reduction will be developed to reduce the large datasets generated. These tools will be used for scientific cases addressing coupled microstructure evolutions including phase transformations, recrystallization and recovery, for improved structural properties and recyclability.

Fields of Study & Subjects

Machine Learning in Materials Science High Entropy Alloys Studies X-ray Diffraction in Crystallography

Publication details

Journal / source
European Synchrotron Radiation Facility
Publication date
24 January 2026
Language
EN
Document type
Dataset