| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Marine Materials and Structures
|
| Presentation Title |
Collection, Processing and Use of In-situ Assessment Data to Support the Qualification of Additively Manufactured Parts |
| Author(s) |
Derek Hass, Yuri Plotnikov, Kyle Snyder, John Sions, Reagan Orth, Banafsheh Zee |
| On-Site Speaker (Planned) |
Derek Hass |
| Abstract Scope |
Cyber-physical ecosystems, which consist of manufacturing equipment, manufacturing ready digital systems, robust process intelligence tools and proven data analytics, offer the capability to capture and store the data required to establish a digital thread for multi-step additive manufacturing (AM) processes (design, build, post-process, quality inspection) and use it to improve the quality of AM parts. This intelligent ecosystem greatly depends on the output from multi-modal, in-situ sensor measurements and data analytics methods developed to process the sensor signals, identify anomalies from the data and link them to defects in the part. Here, the collection of heterogeneous signals from multi-modal sensors during AM builds and the fusion of resulting data to enhance the analysis capability will be presented along with techniques to automate signal processing and streamline integration into the digital workflow. Opportunities to utilize these approaches to accelerate the qualification of AM parts in marine applications will then be discussed. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Characterization, Machine Learning |