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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium Simulations/Experiments Integration for Next Generation Hypersonic Materials
Presentation Title Computational Design of Ni-based SX Superalloys: A Critical Assessment of Machine-learned and Thermodynamic Models in View of Experimental Properties
Author(s) Abel Rapetti, Cervellon Alice, Menou Edern, Rame Jérémy, Tancret Franck, Cormier Jonathan
On-Site Speaker (Planned) Abel Rapetti
Abstract Scope Computational design is a promising approach used in particular to predict novel compositions for new generation Ni-based single crystal superalloys. Amongst the existing approaches, some allows the exploration of new compositional fields by predicting, for eachcomposition, the ideal performances after optimization of heat treatments. Such approach does not provide, however, directions to optimize heat treatments, which remain to be determined by a classical approach. Five nickel-based single crystalline superalloys were cast with computationally designed compositions. This work was undertaken to determine heat treatments that lead to the target microstructure for the five alloys as well as improved creep strength. Once this target was reached, tensile and creep tests were carried out. In this presentation, a critical assessment of mechanical properties obtained for these five alloys will be performed with respect to computational predictions to propose some guidelines for further improvements of the computational design methodology.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Machine Learning, High-Temperature Materials


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Composite Metal/Ceramic Coatings with Exceptional Thermal Shock Resistance
Computational Design of Ni-based SX Superalloys: A Critical Assessment of Machine-learned and Thermodynamic Models in View of Experimental Properties
Computational Discovery and Experimental Validation of Ultra-high Strength BCC Refractory Metal-based MPEAs for Extreme Environments
Degradation Resistance of Refractory Multi-principal Element Alloys for Extreme Environments
High-throughput CALPHAD Exploration of Multi-principal Element Alloy (MPEA) Space for Targeted Properties and Structure
How Do You Integrate Both Simulations and Experiments into a Materials Discovery Optimization Campaign? A Case Study in Multi-fidelity Optimization
Material Design by Additive Manufacturing of Multi-component Metal Alloys
Modeling Thermomechanical Buckling in Combined Extreme Environments
On the Deformation Processes of BCC Refractory Complex Concentrated Alloys
Phase Transforming Metal-ceramic Multilayers for Ultrahigh Temperatures
Simultaneous Bayesian Calibration of Strength, Kinetics, and Phase Boundaries

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