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Meeting MS&T26: Materials Science & Technology
Symposium Uncertainty Quantification in Ultra-High Temperature Materials Manufacturing
Presentation Title Uncertainty Quantification of In-Situ Densification of Polymer-Derived Ceramics
Author(s) Randi Kay Swanson, Toshio Marr, Kartik Nemani, James Ponder, Timothy Pruyn, Kathy Lu, Scott McCormack
On-Site Speaker (Planned) Randi Kay Swanson
Abstract Scope Polymer-derived ceramics (PDCs) are rapidly emerging as a key material system for the manufacturing of ceramic matrix composites (CMCs). While the polymer-to-ceramic conversion process has been widely studied, comparatively little attention has been given to the subsequent high-temperature evolution of the resulting ceramic phase. In particular, the development of density and crack networks plays a critical role in determining the structural performance of these materials. In this work, the density of several PDC systems is quantified using image analysis of in-situ µCT data. In addition to density measurements, the evolution of internal features is tracked in-situ during densification, enabling direct correlation between densification behavior and microstructural changes. This methodology provides a powerful framework for evaluating not only the polymer-to-ceramic transformation of emerging PDC compositions, but also the dynamic evolution of their microstructure following ceramic phase formation.

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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