About this Abstract |
| Meeting |
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Symposium
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2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Presentation Title |
Validation of Vision-Based Detection of Powder Spreading Defects in PBF-LB Using Light Scanning |
| Author(s) |
Yuvraj Upadhyay, Brian Johnstone, Nicole Van Handel, Maegan Lenertz, Thomas Kurfess, Kyle Saleeby |
| On-Site Speaker (Planned) |
Brian Johnstone |
| Abstract Scope |
Layerwise vision systems are common process control tools in additive manufacturing due to easy setup and high information density. In laser powder bed fusion (PBF-LB), optical imaging reveals spreading and melt defects, but quantification depends heavily on the acquisition system and ambient conditions. This work describes a method for validating detection of powder spreading defects, replicable for assessing optical camera capability via structured light scanning. As a case study, optical camera and laser profilometer captures of recoater "hopping" impressions are compared to establish camera- and system-specific detection limits. The correlation between super-elevation in lased regions and hopping in powder regions is also examined, alongside computer vision methods to quantify powder bed quality. Optical imaging and light scanning detect minimum hopping depths of 0.1 mm and 0.015 mm, respectively. |
| Proceedings Inclusion? |
Undecided |