About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Characterization Techniques for Quantifying and Modeling Deformation
|
| Presentation Title |
Radiograph Post-Processing to Correct Mechanical System Errors for In-Situ MicroCT Metrology & DVC |
| Author(s) |
Alex G. Arzoumanidis, Brian K Bay |
| On-Site Speaker (Planned) |
Alex G. Arzoumanidis |
| Abstract Scope |
Digital Image Correlation systems have matured to achieve 1/100th of a pixel displacement field resolution, largely due to hardware calibrations in the cameras and optics. This work follows a similar path, calibrating X-ray tomography in situ testing hardware, with the goal of achieving 1/100th voxel resolution in digital volume correlation (DVC). Spherical fiduciary markers track runout, pitch, and roll on rotation stages. Marker locations are tracked on the 2D radiographs to reveal alignment, which can be partly corrected by means of a 4 degree of freedom alignment stage. However, to achieve sub-micron displacement field resolution, the images are then rotated and distorted about a perfect axis, improving reconstruction results. The solution is particularly useful for a twin-column, dual actuator, rotating load train load frame. This hardware agnostic approach is also more cost effective compared to extreme precision mechanical solutions, while also producing finer resolution. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Mechanical Properties, |