Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application

Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotempor...

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Autores principales: Kurylo, Ievgen, van der Tol, Joost, Colonnese, Nicholas, Broer, Dirk J., Liu, Danqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663702/
https://www.ncbi.nlm.nih.gov/pubmed/36376371
http://dx.doi.org/10.1038/s41598-022-24106-8
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author Kurylo, Ievgen
van der Tol, Joost
Colonnese, Nicholas
Broer, Dirk J.
Liu, Danqing
author_facet Kurylo, Ievgen
van der Tol, Joost
Colonnese, Nicholas
Broer, Dirk J.
Liu, Danqing
author_sort Kurylo, Ievgen
collection PubMed
description Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotemporal resolution. In this work, we address these issues by the application of dynamic coatings, based on photo-responsive liquid crystal network (LCN) material. This material adapts upon an external stimulus (UV light with a power intensity of 50–90 mW/cm(2)) that changes its elastic properties (87% decrease of the modulus for 90 mW/cm(2) power intensity of 365 nm UV light). Localized change of adaptive modulus with very high resolution (2 μm) was demonstrated.
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spelling pubmed-96637022022-11-15 Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application Kurylo, Ievgen van der Tol, Joost Colonnese, Nicholas Broer, Dirk J. Liu, Danqing Sci Rep Article Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotemporal resolution. In this work, we address these issues by the application of dynamic coatings, based on photo-responsive liquid crystal network (LCN) material. This material adapts upon an external stimulus (UV light with a power intensity of 50–90 mW/cm(2)) that changes its elastic properties (87% decrease of the modulus for 90 mW/cm(2) power intensity of 365 nm UV light). Localized change of adaptive modulus with very high resolution (2 μm) was demonstrated. Nature Publishing Group UK 2022-11-14 /pmc/articles/PMC9663702/ /pubmed/36376371 http://dx.doi.org/10.1038/s41598-022-24106-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kurylo, Ievgen
van der Tol, Joost
Colonnese, Nicholas
Broer, Dirk J.
Liu, Danqing
Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
title Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
title_full Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
title_fullStr Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
title_full_unstemmed Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
title_short Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
title_sort photo-responsive liquid crystal network-based material with adaptive modulus for haptic application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663702/
https://www.ncbi.nlm.nih.gov/pubmed/36376371
http://dx.doi.org/10.1038/s41598-022-24106-8
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