Paper
31 May 2016 Characterization of internal geometry / covered surface defects with a visible light sensing system
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Abstract
Previous work has used visible light scanning to detect and characterize defects in 3D printed objects. This paper focuses on assessing the internal structures and external surfaces (that will be later hidden) of complex objects. These features make in-process defect detection far more important than it would be with an object that can be fully assessed with a post-completion scan, as it is required both for in-process correction and end-product quality assurance. This paper presents work on the use of a multi-camera visible light 3D scanning system to identify defects with printed objects’ interior and covered / obscured exterior surfaces.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremy Straub "Characterization of internal geometry / covered surface defects with a visible light sensing system", Proc. SPIE 9854, Image Sensing Technologies: Materials, Devices, Systems, and Applications III, 98540W (31 May 2016); https://doi.org/10.1117/12.2227802
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Printing

Cameras

3D printing

3D printing

Defect detection

Visible radiation

Sensing systems

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