Volumetric additive manufacturing via tomographic reconstruction
Fabrication goes for a quick spin
Most 3D printing techniques involve adding material layer by layer. This sets some limitations on the types of applications for which 3D printing is suitable, such as printing around a preexisting object. Kelly et al. present a different method for manufacturing by rotating a photopolymer in a dynamically evolving light field (see the Perspective by Hart and Rao). This allowed them to print entire complex objects through one complete revolution, circumventing the need for layering. The method may be particularly useful for high-viscosity photopolymers and multimaterial fabrication.
Abstract
Additive manufacturing promises enormous geometrical freedom and the potential to combine materials for complex functions. The speed, geometry, and surface quality limitations of additive processes are linked to their reliance on material layering. We demonstrated concurrent printing of all points within a three-dimensional object by illuminating a rotating volume of photosensitive material with a dynamically evolving light pattern. We printed features as small as 0.3 millimeters in engineering acrylate polymers and printed soft structures with exceptionally smooth surfaces into a gelatin methacrylate hydrogel. Our process enables us to construct components that encase other preexisting solid objects, allowing for multimaterial fabrication. We developed models to describe speed and spatial resolution capabilities and demonstrated printing times of 30 to 120 seconds for diverse centimeter-scale objects.
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Supplementary Material
Summary
Materials and Methods
Supplementary Text
Figs. S1 to S20
Tables S1 to S3
Movies S1 to S5
Resources
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Science
Volume 363 | Issue 6431
8 March 2019
8 March 2019
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Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
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Received: 17 August 2018
Accepted: 18 January 2019
Published in print: 8 March 2019
Acknowledgments
We thank R. McLeod, R. Ng, J. Oakdale, R. Panas, L. Waller, and J. Zhang for helpful discussions. We gratefully acknowledge S. E. Arevalo for assistance with nanoindentation, A. Jordan for assistance with tensile testing, I. Ladner for assistance with roughness measurements, and R. Weitekamp for the gift of a projector module. Funding: This work was supported by U.C. Berkeley faculty start-up funds (to H.K.T.) and by Lawrence Livermore National Laboratory Laboratory-Directed Research and Development funding 14-SI-004 (to C.M.S.) and 17-ERD-116 (to M.S.). The work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344 (LLNL-JRNL-755660). Author contributions: H.K.T., M.S., and C.M.S. planned the research and provided the overall direction; B.E.K., H.H., H.K.T., and M.S. designed experiments; B.E.K. and H.H. conducted experiments; I.B. developed the projection computation algorithm; H.K.T. and I.B. built the process models; and all authors contributed to analysis and to writing and refining the manuscript. Competing interests: The authors are inventors on a U.S. patent application related to this work (15/593,947). All authors declare that they have no other competing interests. Data and materials availability: All data are available in the manuscript or the supplementary materials. Algorithm pseudocode is available in the supplementary materials (section S12). Source .stl files for The Thinker and dental model geometries were obtained from www.thingiverse.com/thing:34343 and www.thingiverse.com/thing:1209567, respectively (both under the CC BY 3.0 license).
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U.S. Department of Energy: DE-AC52-07NA27344
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