TY - JOUR
T1 - Low-Cost Volumetric 3D Printing of High-Precision Miniature Lenses in Seconds
AU - Xu, Ya
AU - Huang, Peng
AU - To, Suet
AU - Zhu, Li Min
AU - Zhu, Zhiwei
N1 - Funding Information:
This research was jointly funded by the National Natural Science Foundation of China (U2013211), the Natural Science Foundation of Jiangsu Province of China (BK20211572), the Guangdong Basic and Applied Basic Research Foundation (2020A1515111011), and the Fundamental Research Funds for the Central Universities (30921013102).
Publisher Copyright:
© 2022 Wiley-VCH GmbH.
PY - 2022/9/5
Y1 - 2022/9/5
N2 - 3D printing is a promising method for the generation of complex-shaped optical components. However, the printing efficiency, form accuracy, and surface smoothness are still challenging, especially for the printing of optical components. In this study, by synergizing the volumetric projection stereolithography, meniscus equilibrium effect, and iterative learning scheme, a low-cost volumetric 3D printing method is developed for the ultra-fast and high-precision fabrication of miniature lenses with sub-nanometric roughness. By including the covered liquid film as a part of the printed lens in the iterative learning, a low form error at the micrometer scale is achieved for the printed lens without any prior knowledge of the 3D printing process. As a demonstration, a sphere lens at the millimeter scale is directly printed in 2 s, achieving a peak-to-valley profile error of less than 5 µm, a sub-nanometric roughness of rms = 0.614 nm, and an imaging resolution of 203.2 lp mm−1. It suggests that besides fast prototyping, the developed 3D printing strategy is suitable for the massive production of precise lenses.
AB - 3D printing is a promising method for the generation of complex-shaped optical components. However, the printing efficiency, form accuracy, and surface smoothness are still challenging, especially for the printing of optical components. In this study, by synergizing the volumetric projection stereolithography, meniscus equilibrium effect, and iterative learning scheme, a low-cost volumetric 3D printing method is developed for the ultra-fast and high-precision fabrication of miniature lenses with sub-nanometric roughness. By including the covered liquid film as a part of the printed lens in the iterative learning, a low form error at the micrometer scale is achieved for the printed lens without any prior knowledge of the 3D printing process. As a demonstration, a sphere lens at the millimeter scale is directly printed in 2 s, achieving a peak-to-valley profile error of less than 5 µm, a sub-nanometric roughness of rms = 0.614 nm, and an imaging resolution of 203.2 lp mm−1. It suggests that besides fast prototyping, the developed 3D printing strategy is suitable for the massive production of precise lenses.
KW - grayscale map
KW - iterative learning
KW - meniscus equilibrium
KW - miniature lenses
KW - volumetric projection stereolithography
UR - http://www.scopus.com/inward/record.url?scp=85131202131&partnerID=8YFLogxK
U2 - 10.1002/adom.202200488
DO - 10.1002/adom.202200488
M3 - Journal article
AN - SCOPUS:85131202131
SN - 2195-1071
VL - 10
JO - Advanced Optical Materials
JF - Advanced Optical Materials
IS - 17
M1 - 2200488
ER -