The present work delineates a novel and scalable approach to characterization of defects in additively manufactured components. The approach is based on digital image correlation and involves characterization of surface speeds during rigid body rotation of the workpiece, followed by normalization with respect to rotation speed. Towards this, two different imaging sources were tested, viz. smartphone camera and sophisticated high-resolution/high-speed camera. The proposed approach successfully delineated horizontal and vertical notch defects in a simple FDM fabricated component. Accuracy of this approach was tested with concomitant laser based scanning. Some limitations of this approach were discussed.
- Manufacturing Engineering Division
Scalable Detection of Defects in Additively Manufactured PLA Components
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Kulkarni, A, Vidvans, A, Rifat, M, Bicknell, G, Gong, X, Manogharan, G, Terpenny, J, & Basu, S. "Scalable Detection of Defects in Additively Manufactured PLA Components." Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference. Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing. College Station, Texas, USA. June 18–22, 2018. V001T01A042. ASME. https://doi.org/10.1115/MSEC2018-6623
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