About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Materials, Processes and Applications for Energy Industry
|
| Presentation Title |
Acoustical Geometric Phase Sensing for Non-Destructive Defect Detection in Additive Manufactured IN718 |
| Author(s) |
I-Ting Ho, Keith Runge, Tribikram Kundu, Guangdong Zhang, Krishna Muralidharan, Shreyas Athreya, Michael Reale, Pierre A. Deymier |
| On-Site Speaker (Planned) |
I-Ting Ho |
| Abstract Scope |
Quantitative defect assessment is critical for evaluating the structural integrity of additively manufactured (AM) components in energy systems. We present a novel acoustical technique—geometric phase sensing—for non-destructive characterization of pore size, volume fraction, and distribution in laser powder bed fusion (L-PBF) processed superalloy IN718. Using scanning laser Doppler vibrometry (SLDV), we capture acoustic responses up to 1 MHz across an array of discrete scan points, forming a state vector that represents the acoustic field in a multidimensional Hilbert space. The presence of defects alters the acoustic response, causing a distinct rotation of the state vector. This shift is measured as a geometric phase change, which correlates strongly with porosity characteristics validated by Micro X-ray Computed Tomography. The method also enables defect localization by analyzing local variations in the geometric phase. This dual-scale capability positions geometric phase sensing as a powerful, non-contact tool for structural health monitoring of AM components. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Additive Manufacturing, Other |