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About this Abstract
Meeting 2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
Symposium 2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
Presentation Title Reliable In-Situ Flaw Detection of Thin-Walled Lattice Structures
Author(s) Alex Riensche, Abdalla Nassar, Christopher Apple, Anil Chaudhary, Alex Istrate, Angelo Visco, Ted Reutzel, Jan Petrich, Gregory Colvin, Vishal Musaramthota, Robert Ghobrial, Ryan Peitsh, Hui Wang, Rebekah Downes, Garrison Hommer, Joy Gockel, Craig Brice
On-Site Speaker (Planned) Alex Riensche
Abstract Scope The ability to build complex, thin-walled structures using laser-based powder bed fusion (PBF-LB) additive manufacturing exceeds our ability to economically inspect for flaws using conventional non-destructive techniques, e.g., computed tomography, ultrasonic, and 2D radiography. This work presents high-resolution, long-exposure-near-IR and illuminated-visible imaging combined with a machine learning framework trained on CT data to demonstrate in-situ flaw detection. The approach targets detection of geometric deviations and voids exceeding 300 um with 95% confidence level and 90% probability of detection. Progress towards this objective alongside time and cost savings are presented.
Proceedings Inclusion? Undecided

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