Detection and correction of misalignment for high fidelity volumetric additive manufacturing

Volumetric additive manufacturing (VAM) rapidly fabricates three-dimensional polymer structures by projecting images into a rotating vial of photosensitive resin. However, inevitable misalignment of this vial, the rotation system, and the projector limit the achievable resolution, fidelity and repeatability of VAM systems. In this work, we characterize the distinct impact of common misalignments through their distortion of a spherical test object. We then show that the ensemble of misalignments can be quantified with the addition of an imaging system. This information is then used to correct for the measured misalignment by modification of the projected images to enable reliable, high-resolution VAM dose delivery.

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Publication Details

Journal
Optics Express
Published
2025-01-16
DOI
https://doi.org/10.1364/oe.540200
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.37

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article

Detection and correction of misalignment for high fidelity volumetric additive manufacturing

Gabriel Seymour, Robert R. McLeod
2 citations
Optics Express
Additive Manufacturing and 3D Printing Technologies
1.37
article

Detection and correction of misalignment for high fidelity volumetric additive manufacturing

Gabriel Seymour, Robert R. McLeod
article en
2 citations

Abstract

Volumetric additive manufacturing (VAM) rapidly fabricates three-dimensional polymer structures by projecting images into a rotating vial of photosensitive resin. However, inevitable misalignment of this vial, the rotation system, and the projector limit the achievable resolution, fidelity and repeatability of VAM systems. In this work, we characterize the distinct impact of common misalignments through their distortion of a spherical test object. We then show that the ensemble of misalignments can be quantified with the addition of an imaging system. This information is then used to correct for the measured misalignment by modification of the projected images to enable reliable, high-resolution VAM dose delivery.

Optics ExpressVol. 33(4)
University of Colorado Boulder (US), University of Colorado System (US)
U.S. Department of Education, National Institutes of Health
Openalex Percentile: Top 22%
Additive Manufacturing and 3D Printing Technologies
1.37
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Detection and correction of misalignment for high fidelity volumetric additive manufacturing — Gabriel Seymour, Robert R. McLeod · Optics Express (2025) | TGRS Research Map | TGRS