About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Characterization of Minerals, Metals and Materials
|
Presentation Title |
Evaluation And Construction of Microstructural Property Distributions For Advanced Material Characterization |
Author(s) |
Noah Wade, Lori Graham-Brady |
On-Site Speaker (Planned) |
Noah Wade |
Abstract Scope |
As part of the ongoing development of material characterization many computational models are incorporating parameter distributions in place of average values, such as the mean grain size. Other structural and morphology measurements such as aspect ratio, shapes properties, and grain boundary lengths also being incorporated, however, many of these measurements don’t have accepted standards for the reporting and minimizing of associated measurement errors. In this work an uncertainty quantification tool for the evaluation of these measurements is proposed. Using a numerical simulation of the microstructural data collection process and a Bayesian framework, a prediction of the range true property measurements given a measure value is obtained. Results are presented for the construction of several different property distributions showing how the variability of measurements is different for various morphological measurements. These distributions are then used to show how material characterization can be optimized based on the desired morphological measurements being made. |
Proceedings Inclusion? |
Planned: |
Keywords |
Characterization, Computational Materials Science & Engineering, Modeling and Simulation |