| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Mechanical Behavior of Nuclear Reactor Components
|
| Presentation Title |
On the Role of Material Pedigree to Predict Engineering Material Properties |
| Author(s) |
Andrea Rovinelli, Mark C Messner, T.-L. Sham |
| On-Site Speaker (Planned) |
Andrea Rovinelli |
| Abstract Scope |
Mesoscale material models are generally developed with the goal to predict macroscopic properties of engineering materials and alloys while accounting for the inherent microstructure variability. The parameters for these models are often calibrated to best fit the available experimental results. Once calibrated, the mesoscale models are used to construct bounding curves used by engineers to estimate failure under the assumption of a unique material pedigree. A material pedigree refers to the different attributes such as material texture, chemical composition, processing parameters, grain size, etc. However, the calibration of these mesoscopic model parameters is generally done using data from open literature, such that it can be used across a wide range of stresses and temperatures. This calibration process thus violates the assumption of a unique material pedigree. In this work we perform a sensitivity study to establish the influence of material pedigree on extrapolated macroscopic material properties. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Computational Materials Science & Engineering, |