| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing
|
| Presentation Title |
A Parametric Study of Grain Size and Its Volume Fraction Effect on Heterogeneous Materials Mechanical Properties |
| Author(s) |
Khaled Adam, Tarek Belgasam |
| On-Site Speaker (Planned) |
Khaled Adam |
| Abstract Scope |
Tailoring the fraction and distribution of microstructural features computationally to achieve an optimized strength-ductility combination in heterogeneous materials is gaining importance. These microstructural features include grain size (GZ), geometrically Necessary Dislocation (GND), and crystallographic texture, among others. However, it is challenging to find the influence of an individual microstructural feature on the mechanical response experimentally due to cost limitations. In the current work, computational approaches and comprehensive statistical parametric study using response surface methodology (RSM) were combined to estimate the optimum fraction and distribution of microstructural features for coveted mechanical properties. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Mechanical Properties, Machine Learning |