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Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation
Adaptive structures based on fiber-rubber composites with integrated Shape Memory Alloys are promising candidates for active deformation tasks in the fields of soft robotics and human-machine interactions. Solid-body hinges improve the deformation behavior of such composite structures. Textile techn...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181661/ https://www.ncbi.nlm.nih.gov/pubmed/35683128 http://dx.doi.org/10.3390/ma15113830 |
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author | Lohse, Felix Annadata, Achyuth Ram Häntzsche, Eric Gereke, Thomas Trümper, Wolfgang Cherif, Chokri |
author_facet | Lohse, Felix Annadata, Achyuth Ram Häntzsche, Eric Gereke, Thomas Trümper, Wolfgang Cherif, Chokri |
author_sort | Lohse, Felix |
collection | PubMed |
description | Adaptive structures based on fiber-rubber composites with integrated Shape Memory Alloys are promising candidates for active deformation tasks in the fields of soft robotics and human-machine interactions. Solid-body hinges improve the deformation behavior of such composite structures. Textile technology enables the user to develop reinforcement fabrics with tailored properties suited for hinged actuation mechanisms. In this work, flat knitting technology is used to create biaxially reinforced, multilayer knitted fabrics with hinge areas and integrated Shape Memory Alloy wires. The hinge areas are achieved by dividing the structures into sections and varying the configuration and number of reinforcement fibers from section to section. The fabrics are then infused with silicone, producing a fiber-rubber composite specimen. An existing simulation model is enhanced to account for the hinges present within the specimen. The active deformation behavior of the resulting structures is then tested experimentally, showing large deformations of the hinged specimens. Finally, the simulation results are compared to the experimental results, showing deformations deviating from the experiments due to the developmental stage of the specimens. Future work will benefit from the findings by improving the deformation behavior of the specimens and enabling further development for first applications. |
format | Online Article Text |
id | pubmed-9181661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91816612022-06-10 Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation Lohse, Felix Annadata, Achyuth Ram Häntzsche, Eric Gereke, Thomas Trümper, Wolfgang Cherif, Chokri Materials (Basel) Article Adaptive structures based on fiber-rubber composites with integrated Shape Memory Alloys are promising candidates for active deformation tasks in the fields of soft robotics and human-machine interactions. Solid-body hinges improve the deformation behavior of such composite structures. Textile technology enables the user to develop reinforcement fabrics with tailored properties suited for hinged actuation mechanisms. In this work, flat knitting technology is used to create biaxially reinforced, multilayer knitted fabrics with hinge areas and integrated Shape Memory Alloy wires. The hinge areas are achieved by dividing the structures into sections and varying the configuration and number of reinforcement fibers from section to section. The fabrics are then infused with silicone, producing a fiber-rubber composite specimen. An existing simulation model is enhanced to account for the hinges present within the specimen. The active deformation behavior of the resulting structures is then tested experimentally, showing large deformations of the hinged specimens. Finally, the simulation results are compared to the experimental results, showing deformations deviating from the experiments due to the developmental stage of the specimens. Future work will benefit from the findings by improving the deformation behavior of the specimens and enabling further development for first applications. MDPI 2022-05-27 /pmc/articles/PMC9181661/ /pubmed/35683128 http://dx.doi.org/10.3390/ma15113830 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lohse, Felix Annadata, Achyuth Ram Häntzsche, Eric Gereke, Thomas Trümper, Wolfgang Cherif, Chokri Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation |
title | Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation |
title_full | Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation |
title_fullStr | Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation |
title_full_unstemmed | Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation |
title_short | Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys—Development and Simulation |
title_sort | hinged adaptive fiber-rubber composites driven by shape memory alloys—development and simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181661/ https://www.ncbi.nlm.nih.gov/pubmed/35683128 http://dx.doi.org/10.3390/ma15113830 |
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