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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Verification, Calibration, and Validation Approaches in Modeling the Mechanical Performance of Metallic Materials
Presentation Title Improved Representation of Grain-Level Microstructures to Support Advanced In-Situ Mechanical Testing
Author(s) Michael D. Uchic, Gregory E. Sparks, Michael Chapman, Paul A. Shade, Mark Obstalecki
On-Site Speaker (Planned) Michael D. Uchic
Abstract Scope This presentation will discuss destructive correlative characterization and analysis research to improve the 3D representation of complex microstructures from mechanical test samples, specifically highlighting efforts to advance High-Energy Diffraction Microscopy (HEDM) in-situ experiments. HEDM, when combined with in-situ mechanical testing, provides a rich source of experimental data for nondestructively measuring the evolving local strain state within individual grains under quasi-static and fatigue loading, which is essential for advancing plasticity models that predict the local response of grains within a polycrystalline ensemble. HEDM measurements can successfully instantiate portions of the grain ensemble—e.g., larger grains (> 20 ìm) that have a uniform crystallographic orientation—but at the present time struggles to reconstruct other features, particularly smaller grains, grains that contain many annealing twins, or grains with significant orientation gradients. The study will present destructive serial sectioning and multi-modal surface-based microscopy (optical, scanning electron, EBSD, white light interferometry) that provide more accurate reconstructions of the test gage volumes, and discuss opportunities to improve both the destructive and nondestructive mapping of microstructure.
Proceedings Inclusion? Planned:

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Constitutive Framework for Modeling Dynamic Recrystallization in Pure Copper
Advanced Calibration of the GTN Damage Model for Aluminum Alloy AA6111 via Bayesian Inference and Digital Image Correlation Techniques
An Open-Source Framework for Data Augmentation and Emulation: Application to Process Optimization in AM
Bayesian Calibration and Validation of a Physics-Based Crystal Plasticity and Damage Model for Shock Compression and Spall
Computational Materials for Qualification and Certification Steering Group and Community Vision Roadmap
Digital Twins to Accelerate AM Qualification: Defining Challenge Problems to Validate Model Performance
Establishing Temperature-Based Relationships for Mechanical Properties and Crystal Plasticity Parameters of Additively Manufactured Haynes-214 Alloy
Experiment and Crystal Plasticity Model-Based Investigation of Surface Roughness Influence in the Fatigue Life of Additive Manufactured Nickel-Supperalloys
Experiments and Methods to Calibrate and Validate Defect-Sensitive Fatigue Models
Explicit Finite Element Model of Composite Metal Foam’s Mechanical Response During Quasi-Static and Dynamic Compression
Improved Representation of Grain-Level Microstructures to Support Advanced In-Situ Mechanical Testing
Micromechanical Model Verification of Additively Manufactured Inconel 625 Informed by In Situ High-Energy X-Ray Diffraction
Microstructure Dependence of Spall Failure in Mg-Al Alloys at Extreme Strain Rates
Non-Uniqueness in Crystal Plasticity Fitting Parameters: Effects on Intragranular Mechanical Behavior
Physics-Informed Neural Networks with LuGre Model for Friction Force Analysis in Tribological Systems
Predicting Mechanical Properties of Ti-6Al-4V Alloy Using a Physics-Informed Neural Network (PINN) for Crystal Plasticity Modeling
Predicting the Variability in Performance of Zircaloy in Nuclear Reactors
Probabilistic Global-Local Calibration of Crystal Plasticity Parameters for Additively Manufactured Metals Using Synthetic Data
Quantifying Error in Machine Learning Predictions of Macroscopic Yield Surfaces of Polycrystalline Materials
Quantifying Uncertainties Using Crystal Plasticity Modeling of Microstructural Clones
Strain-Gradient Crystal Plasticity Finite Element Modeling of Phenomena Pertaining to the Sequential Strain Path Changes in AA6016-T4
Substructure-Sensitive Crystal Plasticity: A Consistent Approach Across Materials, Loading Conditions and Temperatures
Synchrotron-Based Experiments and Microstructure-Sensitive Modeling
Uncertainty-Aware Validation in Modeling of Metal Plasticity: Beyond Mean Squared Error
Uncertainty Quantification of Crystal Plasticity Parameters Using ExaConstit
Uncertainty Quantified Parametrically Upscaled Constitutive Models for Fatigue Nucleation in Polycrystalline Metallic Materials

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