Automatic Exposure Volumetric Additive Manufacturing

Abstract Tomographic volumetric additive manufacturing (VAM) achieves high print speed and design freedom by continuous volumetric light patterning. This differs from traditional vat photopolymerization techniques that use brief sequential (2D) plane‐ or (1D) point‐localized exposures. The drawback to volumetric light patterning is the small exposure window. Overexposure quickly leads to cured out‐of‐part voxels due to the nonzero background dose arising from light projection through the build volume. For tomographic VAM, correct exposure time is critical to achieving high repeatability, however, we found that correct exposure time varies by ≈40% depending on resin history. Currently, tomographic VAM exposure is timed based on subjective human determination of print completion, which is tedious and yields poor repeatability. Here, a robust auto‐exposure routine is implemented for tomographic VAM using real‐time processing of light scattering data, yielding accurate and repeatable prints without human intervention. The resulting print fidelity and repeatability approaches, and in some cases, exceeds that of commercial resin 3D printers. It is shown that auto‐exposure VAM generalizes well to a wide variety of print geometries with small positive and negative features. The repeatability and accuracy of auto exposure VAM allows for building multi‐part objects, fulfilling a major requirement of additive manufacturing technologies.

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Publication Details

Journal
Advanced Materials Technologies
Published
2025-05-30
DOI
https://doi.org/10.1002/admt.202402168
Citations
5
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
3.41

Funders

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article

Automatic Exposure Volumetric Additive Manufacturing

Joshua Latimer, Chantal Paquet, Antony Orth, Jonathan Boisvert et al.
5 citations
Advanced Materials Technologies
Additive Manufacturing and 3D Printing Technologies
3.41
article

Automatic Exposure Volumetric Additive Manufacturing

Joshua Latimer, Chantal Paquet, Antony Orth, Jonathan Boisvert, Derek Aranguren van Egmond, Bosco Yu, Hao Li, Yujie Zhang, Daniel Webber, Katherine Houlahan, Nicolas Milliken
article en
5 citations

Abstract

Abstract Tomographic volumetric additive manufacturing (VAM) achieves high print speed and design freedom by continuous volumetric light patterning. This differs from traditional vat photopolymerization techniques that use brief sequential (2D) plane‐ or (1D) point‐localized exposures. The drawback to volumetric light patterning is the small exposure window. Overexposure quickly leads to cured out‐of‐part voxels due to the nonzero background dose arising from light projection through the build volume. For tomographic VAM, correct exposure time is critical to achieving high repeatability, however, we found that correct exposure time varies by ≈40% depending on resin history. Currently, tomographic VAM exposure is timed based on subjective human determination of print completion, which is tedious and yields poor repeatability. Here, a robust auto‐exposure routine is implemented for tomographic VAM using real‐time processing of light scattering data, yielding accurate and repeatable prints without human intervention. The resulting print fidelity and repeatability approaches, and in some cases, exceeds that of commercial resin 3D printers. It is shown that auto‐exposure VAM generalizes well to a wide variety of print geometries with small positive and negative features. The repeatability and accuracy of auto exposure VAM allows for building multi‐part objects, fulfilling a major requirement of additive manufacturing technologies.

Advanced Materials TechnologiesVol. 10(17)
University of Victoria (CA), National Research Council Canada (CA)
Natural Sciences and Engineering Research Council of Canada, National Research Council Canada
Openalex Percentile: Top 8%
Additive Manufacturing and 3D Printing Technologies
3.41
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