| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Friction Stir Welding and Processing XI
|
| Presentation Title |
Friction Stir Welding Defect Prediction Using Computational Solid Mechanic's Modeling |
| Author(s) |
Rafael Giorjao, Julian Avila, Eduardo Monlevade, Antonio Ramirez, Andre Tschiptschin |
| On-Site Speaker (Planned) |
Rafael Giorjao |
| Abstract Scope |
The tool role during the friction stir welding concerning the material flow and its thermomechanical behavior is still not entirely understood. In this matter, a computational solid mechanic's numerical model is proposed. This model uses an Arbitrary Lagrangian-Eulerian code in two different pin profile tools, with threaded and unthread pins. The model was able to reproduce the torque as a response of the tool, temperatures and the material flow in any position during the process, including the downward flow effect in the threaded pin. A point tracking analysis of the material flow revealed that threads increase the material velocity and strain rate, promoting a temperature increment during the process, which improved the material flow and avoided filling defects. The capability of this model to reproduce the defects observed in real welded joints and calculate the material thermomechanical characteristics showed its high sensitivity to welding parameters and tool geometries. |
| Proceedings Inclusion? |
Planned: |