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Enhanced tomographic printing via 3D ray-tracing dose optimization

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1117/12.2647288
AuthorSearch for: 1; Search for: 1; Search for: 2; Search for: 1; Search for: 2; Search for: 1
EditorSearch for: Lee, Benjamin L.; Search for: Ehmke, John
Affiliation
  1. National Research Council of Canada. Digital Technologies
  2. National Research Council of Canada. Security and Disruptive Technologies
FormatText, Address
ConferenceSPIE OPTO 2023 - Emerging Digital Micromirror Device Based Systems and Applications XV, January 28- February 3, 2023, San Francisco, California, United States
Subject3D printing; printing; tomography; 3D modeling; additive manufacturing; optical design; projection systems; radon transform; systems modeling; X-ray computed tomography
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.
Publication date
PublisherSociety of Photo-Optical Instrumentation Engineers (SPIE)
In
  • Emerging Digital Micromirror Device Based Systems and Applications XV (19 April 2023).
Series
  • Proceedings of SPIE PC12435.
LanguageEnglish
Peer reviewedYes
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Record identifier937f8c09-edc3-4032-82bc-64fa2e1e21df
Record created2023-04-24
Record modified2023-04-25
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