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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title High Throughput Exploration and Optimization of the Mechanical Properties of FCC Complex Concentrated Alloys for Extreme Conditions
Author(s) Wenle Xu, Daniel Salas, Matthew Skokan, Trevor Hastings, Daniel Lewis, Mrinalini Mulukutla, Nicole Person, Douglas Allaire, Raymundo Arroyave, James Paramore, Brady Butler, George Pharr, Ibrahim Karaman
On-Site Speaker (Planned) Wenle Xu
Abstract Scope The FCC Complex Concentrated Alloys (CCA) compositional space is very broad, making it almost impossible to discover promising alloy compositions using conventional approaches. In the present work, the compositional space of CoCrFeNiVAl CCA system has been explored following a combined computational materials science and multiobjective batch-Bayesian optimization strategy searching for alloys with the most optimum mechanical properties under extreme conditions. For each batch, 16 alloys were selected for synthesis at bulk scale, processing, and characterization, which included chemical, microstructural, and mechanical property characterization. For the synthesis, processing, and characterization, special efforts were put into the parallelization and automatization of each step to increase experimental throughput and efficiency. Within a timeframe of less than 9 months, a total of 5 iterations (80 alloys) were conducted which permitted establishing a clear picture of the chemical and microstructural dependencies of the target mechanical properties of strength and strain hardening coefficient.
Proceedings Inclusion? Planned:
Keywords High-Entropy Alloys, Mechanical Properties,

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Accelerated Computational Insertion of Structural Materials
Accelerating Materials Discovery of HEA’s through Constraint Based High Throughput Design, Synthesis and Batch Bayesian Optimization Framework
Amorphous to Crystalline: High-throughput Thermal Stability Investigation on IV- and V- group Refractory High-entropy Alloy Systems
An Experimental High Throughput to High Fidelity Study Towards Discovering Al-Cr Containing Corrosion-resistant Compositionally Complex Alloys
Computational Design of Complex Concentrated Alloys for Nuclear Applications
Design of Alloys Resistant to Molten Salt Corrosion via Machine Learning and Optimization Algorithms
Energy Absorption Properties of Filled and Unfiled Lattice Materials under Impact Loading
High-throughput Exploration of Nanotwin Synthesis Domains
High Throughput Exploration and Optimization of the Mechanical Properties of FCC Complex Concentrated Alloys for Extreme Conditions
Interoperable Batch Bayesian Optimization Techniques for Efficient Property Discovery of Metals
Laser-scanning of Arc-melted Al Alloys: Are They Representative of Additively Manufactured Ones
Machine Learning-CALPHAD Assisted Design of L12-strengthened Ni-Al-Co-Cr-Fe-Ti Complex Concentrated Superalloy for Multi-property Optimization
Machine Learning and CALPHAD Assisted Design of High Performance Structural High Entropy Alloys
Navigating the BCC-B2 Refractory Alloy Space: Stability and Thermal Processing with Ru-B2 Precipitates
Novel High-temperature Zirconium Alloys for Fusion Applications
Physics-informed Creep Rupture Life Modeling of High Temperature Alloys for Energy Applications
Prevention of Strain Age Cracking in Additively Manufactured, High-temperature Superalloys

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