| 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 |
High Frequency Ultrasonic Detection of Security Markers in Additive Manufacturing Components |
| Author(s) |
Farhang Honarvar, Sagar D. Patel, Katayoon Taherkhani, Peyman Alimehr, Mihaela Vlasea |
| On-Site Speaker (Planned) |
Mihaela Vlasea |
| Abstract Scope |
Embedding security markers in additive manufacturing (AM) components have been investigated in literature as means to ensure product authentication and mitigate risks of counterfeiting and reverse engineering. These security markers have been previously detected using X-ray computed tomography (XCT), which is a method also commonly used for defect detection in AM. Ultrasonic testing (UT) has been used for offline detection of defects in AM, but UT has not been implemented for complex security markers such as QR codes in AM. In this work, UT and image processing are used for the first time in successfully detecting QR codes in laser powder bed fusion (LPBF) parts, with feature sizes as low as 0.5 mm. Additionally, UT is also implemented as means to detect and differentiate LPBF parts with lack of fusion and keyhole mode defects, which presents a low-cost alternative to XCT for defect detection in AM. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |