Xolography for linear volumetric 3D printing

Martin Regehly (), Yves Garmshausen, Marcus Reuter, Niklas F. König, Eric Israel, Damien P. Kelly, Chun-Yu Chou, Klaas Koch, Baraa Asfari and Stefan Hecht ()
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Martin Regehly: Brandenburg University of Applied Science
Yves Garmshausen: xolo GmbH
Marcus Reuter: xolo GmbH
Niklas F. König: xolo GmbH
Eric Israel: TU Dresden
Damien P. Kelly: xolo GmbH
Chun-Yu Chou: xolo GmbH
Klaas Koch: xolo GmbH
Baraa Asfari: Brandenburg University of Applied Science
Stefan Hecht: Humboldt-Universität zu Berlin

Nature, 2020, vol. 588, issue 7839, 620-624

Abstract: Abstract The range of applications for additive manufacturing is expanding quickly, including mass production of athletic footwear parts1, dental ceramics2 and aerospace components3 as well as fabrication of microfluidics4, medical devices5, and artificial organs6. The light-induced additive manufacturing techniques7 used are particularly successful owing to their high spatial and temporal control, but such techniques still share the common motifs of pointwise or layered generation, as do stereolithography8, laser powder bed fusion9, and continuous liquid interface production10 and its successors11,12. Volumetric 3D printing13–20 is the next step onward from sequential additive manufacturing methods. Here we introduce xolography, a dual colour technique using photoswitchable photoinitiators to induce local polymerization inside a confined monomer volume upon linear excitation by intersecting light beams of different wavelengths. We demonstrate this concept with a volumetric printer designed to generate three-dimensional objects with complex structural features as well as mechanical and optical functions. Compared to state-of-the-art volumetric printing methods, our technique has a resolution about ten times higher than computed axial lithography without feedback optimization, and a volume generation rate four to five orders of magnitude higher than two-photon photopolymerization. We expect this technology to transform rapid volumetric production for objects at the nanoscopic to macroscopic length scales.

Date: 2020
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DOI: 10.1038/s41586-020-3029-7

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