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Squeezing More Juice out of Dielectric Elastomer Generators

Dielectric elastomer generators are soft structures capable of converting mechanical energy into electrical energy. Here, we develop a theoretical model of the triangular harvesting cycle that enables the harvesting of most of the available electrical energy while not requiring active monitoring of...

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Detalles Bibliográficos
Autores principales: Rosset , Samuel, Anderson , Iain A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873102/
https://www.ncbi.nlm.nih.gov/pubmed/35224002
http://dx.doi.org/10.3389/frobt.2022.825148
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author Rosset , Samuel
Anderson , Iain A.
author_facet Rosset , Samuel
Anderson , Iain A.
author_sort Rosset , Samuel
collection PubMed
description Dielectric elastomer generators are soft structures capable of converting mechanical energy into electrical energy. Here, we develop a theoretical model of the triangular harvesting cycle that enables the harvesting of most of the available electrical energy while not requiring active monitoring of the charge-voltage state on the DEG. This cycle is therefore interesting for small-scale generators for which a monitoring circuit would be energetically too costly. Our model enables the identification of the optimal value of the circuit’s parameters such as storage capacitor and priming voltage values and show that for capacitance swings up to 6, 94% of the available electrical energy can be harvested. The model is experimentally validated with a conical generator, and the effect of non-constant deformation amplitudes is examined. Energy densities up to 46 mJcm(−3) were obtained for an electric field of 50 V µm(−1).
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spelling pubmed-88731022022-02-26 Squeezing More Juice out of Dielectric Elastomer Generators Rosset , Samuel Anderson , Iain A. Front Robot AI Robotics and AI Dielectric elastomer generators are soft structures capable of converting mechanical energy into electrical energy. Here, we develop a theoretical model of the triangular harvesting cycle that enables the harvesting of most of the available electrical energy while not requiring active monitoring of the charge-voltage state on the DEG. This cycle is therefore interesting for small-scale generators for which a monitoring circuit would be energetically too costly. Our model enables the identification of the optimal value of the circuit’s parameters such as storage capacitor and priming voltage values and show that for capacitance swings up to 6, 94% of the available electrical energy can be harvested. The model is experimentally validated with a conical generator, and the effect of non-constant deformation amplitudes is examined. Energy densities up to 46 mJcm(−3) were obtained for an electric field of 50 V µm(−1). Frontiers Media S.A. 2022-02-11 /pmc/articles/PMC8873102/ /pubmed/35224002 http://dx.doi.org/10.3389/frobt.2022.825148 Text en Copyright © 2022 Rosset  and Anderson . https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Rosset , Samuel
Anderson , Iain A.
Squeezing More Juice out of Dielectric Elastomer Generators
title Squeezing More Juice out of Dielectric Elastomer Generators
title_full Squeezing More Juice out of Dielectric Elastomer Generators
title_fullStr Squeezing More Juice out of Dielectric Elastomer Generators
title_full_unstemmed Squeezing More Juice out of Dielectric Elastomer Generators
title_short Squeezing More Juice out of Dielectric Elastomer Generators
title_sort squeezing more juice out of dielectric elastomer generators
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873102/
https://www.ncbi.nlm.nih.gov/pubmed/35224002
http://dx.doi.org/10.3389/frobt.2022.825148
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