| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Automated Layer Identification in Large Area Additive Manufacturing (LAAM): A Comparison of Image Thresholding and Edge Detection Techniques |
| Author(s) |
Aissata Wadidie, Gregory Michael Studer, Kris Villez |
| On-Site Speaker (Planned) |
Aissata Wadidie |
| Abstract Scope |
Our study aims to develop an automated method for identifying layers on images of 3D-printed walls from a LAAM printer, as manual identification can be time-consuming. We applied three different image processing methods to identify edges between layers. Otsu thresholding was found to be the most accurate and required minimal manual intervention. From our study, we propose a new composite algorithm combining multiple methods for even greater accuracy. This research demonstrates the feasibility of using computer-based methods to automatically identify layers in 3D printing, reducing manual time and effort and improving the strength and quality of 3D-printed parts. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |