About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
|
Symposium
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6th International Congress on 3D Materials Science (3DMS 2022)
|
Presentation Title |
3D Strength Prediction of a Two-phase Material Using Two-point Statistics |
Author(s) |
Mostafa Mahdavi, Eric Hoar, Steven Liang, Hamid Garmestani |
On-Site Speaker (Planned) |
Mostafa Mahdavi |
Abstract Scope |
The strength of materials is depended on the direction of the tensile/compression test. The morphological features in different directions result in different strength values that originate from the apparent anisotropy. Statistical continuum mechanics theory is a fast and efficient method compared to finite element methods that is capable to use the morphological information in a microstructure and calculate the strength. In this study, two-point statistics used to extract the morphological information for a two-phase material. Then, layered fast spherical harmonics formulation was used to represent the 3D map of two-point statistics. Finally, two-point statistics were implemented into statistical continuum mechanics formulations to represent the strength. Two-phase microstructures of Ti-6Al-4V alloy were used in the current study for calibration and validation of the model. This approach is fast and efficient due to using spherical harmonics, furthermore, the model can output strength in all directions simultaneously rather than a single direction. |
Proceedings Inclusion? |
Definite: Other |