Shape programming lines of concentrated Gaussian curvature
Open Access
- 9 June 2021
- journal article
- research article
- Published by AIP Publishing in Journal of Applied Physics
- Vol. 129 (22), 224701
- https://doi.org/10.1063/5.0044158
Abstract
Liquid crystal elastomers (LCEs) can undergo large reversible contractions along their nematic director upon heating or illumination. A spatially patterned director within a flat LCE sheet, thus, encodes a pattern of contraction on heating, which can morph the sheet into a curved shell, akin to how a pattern of growth sculpts a developing organism. Here, we consider theoretically, numerically, and experimentally patterns constructed from regions of radial and circular director, which, in isolation, would form cones and anticones. The resultant surfaces contain curved ridges with sharp -shaped cross sections, associated with the boundaries between regions in the patterns. Such ridges may be created in positively and negatively curved variants and, since they bear Gauss curvature (quantified here via the Gauss–Bonnet theorem), they cannot be flattened without energetically prohibitive stretch. Our experiments and numerics highlight that, although such ridges cannot be flattened isometrically, they can deform isometrically by trading the (singular) curvature of the angle against the (finite) curvature of the ridge line. Furthermore, in finite thickness sheets, the sharp ridges are inevitably non-isometrically blunted to relieve bend, resulting in a modest smearing out of the encoded singular Gauss curvature. We close by discussing the use of such features as actuating linear features, such as probes, tongues, and grippers. We speculate on similarities between these patterns of shape change and those found during the morphogenesis of several biological systems.
Keywords
Funding Information
- Engineering and Physical Sciences Research Council (EP/P034616/1)
- Engineering and Physical Sciences Research Council (EP/L015552/1)
- UKRI Future Leaders Fellowship (MR/S017186/1)
- National Science Foundation (DMR 2041671)
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