About this Abstract |
Meeting |
2021 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2021)
|
Symposium
|
Special Session
|
Presentation Title |
In-situ Flaw Detection in Wire Arc Additive Manufacturing Using an Acoustic Sensor |
Author(s) |
Benjamin D. Bevans, Andre Ramalho, Aniruddha Gaikwad, Ziyad Smoqi, Joao Oliveira, Prahalada Rao |
On-Site Speaker (Planned) |
Benjamin D. Bevans |
Abstract Scope |
Wire Arc Additive Manufacturing (WAAM) is emerging as the process of choice for large area additive manufacturing. However, a key challenge in WAAM is the consistent deposition of flaw-free parts. The process is particularly susceptible to arc instabilities, which can lead to porosity and suboptimal layer integrity. Accordingly, the objective of this work is to detect flaw formation in WAAM using data acquired from an acoustic emission sensor. The sensor data was analyzed using graph-theory and wavelet filtering. Using the proposed approach, various types of flaw formation mechanisms, such as arc instability and material contamination, were detected in real-time. This approach allows the flaw to be detected, and therefore corrected before it is permanently sealed in by subsequent layers. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |