| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture IV: Toward Confident Use in Critical Applications
|
| Presentation Title |
Prediction of Mechanical Properties of Additively Manufactured Ti6Al4V Based on the Microstructure and Porosity Distribution |
| Author(s) |
Mohamed Elkhateeb, Yung C. Shin |
| On-Site Speaker (Planned) |
Yung C. Shin |
| Abstract Scope |
Additive manufacturing (AM) is mainly challenged by the existence of porosity and inhomogeneous microstructure in the fabricated parts. Prediction of the effects of such defects on the parts’ bulk behavior and fatigue life requires huge heterogeneous finite element models, which can make the computational cost prohibitive for large structures. In this work, the extended mechanics of structure genome (XMSG) is used as computationally efficient multi-scale homogenization scheme to predict the bulk behavior and fatigue life of AMed Ti6Al4V with porosity and having a heterogeneous microstructure. In the XMSG, homogenization was conducted on a structure genome, which contains the basic representative microstructural and porosity details, and does need updates with porosity growth and coalescence. The predicted results showed a very good agreement with the experimental results with a 94% reduction in the computational time compared with the corresponding heterogeneous models-based finite element simulations. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |