Presentation
19 April 2023 Enhanced tomographic printing via 3D ray-tracing dose optimization
Daniel Webber, Antony Orth, Yujie Zhang, Michel Picard, Chantal Paquet, Jonathan Boisvert
Author Affiliations +
Abstract
In this talk, we present a new methodology for computing projections in tomographic additive manufacturing. Currently, tomographic printing systems require that light-rays in the printing volume are parallel, and have low etendue. In this work, we show that accurate modeling of the light rays through the print volume enables improved printing in systems with diverging beams. We also demonstrate that ray-tracing can compensate for non-parallel projection in 3D. We anticipate that our ray-tracing methodology will relax the hardware requirements necessary in the conventional Radon-based approach, and enable a broader range of tomographic printing configurations.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Webber, Antony Orth, Yujie Zhang, Michel Picard, Chantal Paquet, and Jonathan Boisvert "Enhanced tomographic printing via 3D ray-tracing dose optimization", Proc. SPIE PC12435, Emerging Digital Micromirror Device Based Systems and Applications XV, PC1243506 (19 April 2023); https://doi.org/10.1117/12.2647288
Advertisement
Advertisement
KEYWORDS
3D printing

Printing

Tomography

3D modeling

Additive manufacturing

Optical design

Projection systems

Back to Top