Rotational 3D printing of active-passive filaments and lattices with programmable shape morphing
成果类型:
Article
署名作者:
Abdelrahman, Mustafa K.; Wilt, Jackson K.; Jung, Yeonsu; Telles, Rodrigo; Paink, Gurminder K.; Larson, Natalie M.; Aizenberg, Joanna; Mahadevan, L.; Lewis, Jennifer A.
署名单位:
Harvard University; Stanford University; Harvard University; Harvard University; Harvard University; Harvard University
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-8424; 1091-6490
DOI:
10.1073/pnas.2537250123
发表日期:
2026-04-28
页码:
e2537250123
关键词:
liquid crystal elastomers
rotational 3D printing
shape morphing
GELATINOUS FIBERS
soft
TENDRILS
COILING
摘要:
Natural filaments, such as proteins, plant tendrils, octopus tentacles, and elephant trunks, can transform into arbitrary three-dimensional shapes that carry out vital functions. Their shape-morphing behavior arises from intricate patterning of active and passive regions, which are difficult to replicate in synthetic matter. Here, we introduce a filament-centric strategy for programmable shape morphing in which intrinsic curvature and twist are directly encoded within multimaterial elastomeric filaments during fabrication. By harnessing rotational multimaterial 3D printing, we directly prescribe the filament's natural curvature-twist field kappa(s) through controlled material distribution and helical liquid crystal mesogen alignment. When heated above their nematic-to-isotropic transition temperature (TNI), the helically aligned liquid crystal elastomer regions contract along their local director field, while passive regions remain essentially unchanged. This approach enables independent control of bending and torsion at every cross-section along the filament centerline: the principal natural curvatures of the filament along two orthogonal axes as well as the local twist. Next, we printed architected lattices composed of unit cells formed by sinusoidal filaments that either reversibly contract, expand, or exhibit out-of-plane deformations. Discrete elastic rod simulations of Janus filaments with different natural curvatures and twist, which are interconnected within the printed lattices, allow accurate prediction of their observed shape-morphing behavior. By integrating active-passive elastomers, additive manufacturing, and computational modeling, we have created shape-morphing matter with complex programmable responses for applications that rely on adaptive, robotic, or deployable architectures.
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