Szczegóły publikacji

Opis bibliograficzny

Experimental investigation of a uniaxial dielectric elastomer generator / Wojciech SIKORA // Acta Mechanica et Automatica ; ISSN 1898-4088. — 2023 — vol.17 no. 4, s. 499–506. — Bibliogr. s. 505–506, Abstr.

Autor

Słowa kluczowe

uniaxial tensiondielectric elastomerenergy harvesterDEG

Dane bibliometryczne

ID BaDAP147800
Data dodania do BaDAP2023-07-27
Tekst źródłowyURL
DOI10.2478/ama-2023-0058
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaActa Mechanica et Automatica

Abstract

The widespread use of battery-powered electronic devices creates the need to develop methods to extend their maximum operating time. This can be achieved by using ambient energy, which would otherwise be dissipated. The conversion of energy, usually mechanical energy, into electric energy takes place in energy harvesters. Energy harvester systems based on a dielectric elastomer (DE) are a relatively new field that is being constantly developed. Due to their features, dielectric elastomer generators (DEGs) may complement the currently dominant piezoelectric harvesters. The major feature of employing a hyperelastic material is that it allows relatively large displacements to be utilised for generating energy, which is impossible in the case of piezoceramics. This article presents a DEG designed to operate under uniaxial tensile loads and which has a multilayer structure, describes the general operating principles of a DEG, explains the construction and assembly process of the investigated design and shows the electric circuit necessary to properly direct current flow during the DEG operation. The experimental part consists of two series of tests based on a central composite design (CCD). The objective of the first part was to map a capacitance response surface of the DEG in the selected range of the cyclic mechanical load. The second part concerned the amount of generated energy for the specific load case as a function of operating voltages. The result of the work is the formulation of regression models that allow the characteristics of the presented DEG design to be identified.

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