Automatic Exposure Volumetric Additive Manufacturing

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

doi:10.1002/admt.202402168

journal article Open Access May 30, 2025

Automatic Exposure Volumetric Additive Manufacturing

Antony Orth

Yujie Zhang

Katherine Houlahan Daniel Webber Hao Li

Nicolas Milliken Joshua Latimer Derek Aranguren van Egmond Bosco Yu

Jonathan Boisvert Chantal Paquet

Advanced Materials Technologies Vol. 10 No. 17 · Wiley

View at Publisher Save 10.1002/admt.202402168

Abstract

AbstractTomographic 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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Details

Published: May 30, 2025
Vol/Issue: 10(17)
License: View

Authors

A

Antony Orth