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Meeting MS&T26: Materials Science & Technology
Symposium Uncertainty Quantification in Ultra-High Temperature Materials Manufacturing
Presentation Title From Dirty Processing to Enhanced Performance: Hidden Variables for Strength Consistency in UHTCs
Author(s) Laura Silvestroni
On-Site Speaker (Planned) Laura Silvestroni
Abstract Scope Conventional processing routes for UHTCs are generally assumed to yield reproducible materials when raw materials and nominal parameters are constant. However, significant variability in density, microstructure, and mechanical properties is frequently observed, suggesting the presence of uncontrolled or unrecognized process variables.The role of such hidden variables is examined through representative examples. First, powder ultrasonication increased the strength by more than 100 MPa, due to reduced critical flaw size by improved powder deagglomeration and suppressed abnormal grain growth.Second, an exceptionally strong material was obtained via a standard processing route, but could not be reproduced until it was discovered that trace impurities were unintended introduced by “dirty” milling media.Stochastic and often overlooked factors can strongly influence process–structure–property relationships in UHTCs. Understanding and quantifying these sources of uncertainty is essential for developing robust processing protocols, models and enabling reliable performance in extreme environments.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Autonomous Materials Characterization Through Simulation to Experiment Analysis with Continual Deep Learning
Bayesian Design of Experiments for Calphad Modeling
Computational Tools for Predicting High-Temperature Materials Properties via DFT, MD, and Deep Learning
Data to Discovery: A Closed-Loop Ecosystem for Designing Compositionally Complex Alloys
End-to-End Machine Learning for Creep Modeling: Data Processing, Parameter Learning, and Uncertainty Analysis
From Design to Melt: Rare Earth Retention in Ni-Based Superalloys
From Dirty Processing to Enhanced Performance: Hidden Variables for Strength Consistency in UHTCs
Generalization of a Crystal Plasticity Model from Grade 91 to Grade 92 Steel: A Coupled High-Throughput Constitutive Model and Data-Driven Analysis Approach
MXene and Polymer Derived TiC–SiC Ceramics with Enhanced Electrical Conductivity and Tailored Thermal–Mechanical Performance for High-Temperature Applications
UHTM and the Materials R&D Landscape
Uncertainty-Guided Experimental Determination of Phase Diagrams
Uncertainty Quantification of In-Situ Densification of Polymer-Derived Ceramics
Uncertainty Quantification via Deep Kernel Learning on Synchrotron Diffraction Patterns

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