| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
2022 Technical Division Student Poster Contest
|
| Presentation Title |
SPU-8: COMSOL-generated Weld Heat Transfer Models For Automation of Infrared Thermography Non-destructive Testing (IR-TNDT) Image Analysis |
| Author(s) |
Savannah M. Horowitz, Brittani A. Maskley, Michele V. Manuel |
| On-Site Speaker (Planned) |
Savannah M. Horowitz |
| Abstract Scope |
Defect detection methods in welding can be complex, time-consuming, and costly. As more cost-efficient processes are implemented, the depth of defect detection can be diminished. Infrared Thermography Non-Destructive Testing (IR-TNDT) is a promising time- and cost-efficient method for subsurface weld defect detection. IR-TNDT collects thermal data of imaged targets and is currently used in defect detection applications, including steel pipe corrosion and electrical component flaws. Investigations exploring IR-TNDT on subsurface weld defects have shown promise. However, there is a need for complimentary fast and precise image analysis to implement this technique into the industry and in the field. This study aims to develop weld heat transfer models using the multi-physics COMSOL software platform and then utilize these models to detect weld defects in IR images. |
| Proceedings Inclusion? |
Undecided |
| Keywords |
Iron and Steel, Computational Materials Science & Engineering, Modeling and Simulation |