About this Abstract |
Meeting |
2021 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2021)
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Symposium
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Special Session
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Presentation Title |
Online Geometry Quality Management During Directed Energy Deposition Using Laser Line Scanner |
Author(s) |
Liu Yang, Hoon Sohn, Eden Binega, Jack C P Cheng, Ikgeun Jeon |
On-Site Speaker (Planned) |
Liu Yang |
Abstract Scope |
Additive manufacturing (AM) is a powerful and promising manufacturing technology due to its advantages of mass customization, transition to pre-order manufacturing, and small-quantity production of custom-designed products. However, current situation of lacking quality management in 3D printing process is the key barrier of adopting this advanced technology. Geometry inaccuracy of 3D printed components is one of the main quality problems for AM, especially when the final product requires high precision in its geometry. In this study, an online geometry quality management method for continuous monitoring during the direct energy deposition (DED) process was developed using a laser line scanner. Our proposed methodology comprises (1) real-time track-by-track scanning of multi-layer multi-track component, (2) online geometry extraction of multi-layer multi-track component during printing process, and (3) online plotting and comparison of the as-designed and as-built models. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |