Gosliga, J.S. and Ganilova, O.A. (2016) Energy Harvesting based on the Hybridisation of two Smart Materials. In: Proceedings of EACS 2016. EACS 2016 – 6th European Conference on Structural Control, 11-13 Jul 2016, Sheffield, UK. University of Sheffield
Abstract
Recently, there has been an increased demand for power harvesting as a source of providing renewable energy. One of the most promising technologies due to their high power densities are piezoelectric devices, harvesting vibrational energy. There has been extensive research done in the area of energy harvesting using smart materials. However, the majority of this work is dedicated to the application of one type of smart material, such as piezoelectric or shape memory alloy. The aim of this paper is to develop a completely novel concept of a hybrid device combining piezoelectric and shape-memory alloy effects. The resulting device has a strong potential for miniaturisation and practical biomedical applications in environments characterised by thermal fluctuations. Both finite element and analytical models were developed to describe the dynamic behaviour of this innovative device. Both models predicted parametric behaviour for an input frequency of 988 Hz. Performance of the device was comparable to existing energy harvesting devices. The limitations and benefits of each modelling approach are also discussed.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Authors. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Jun 2016 13:29 |
Last Modified: | 18 Jun 2020 14:16 |
Published Version: | https://figshare.shef.ac.uk/articles/EACS_2016_pap... |
Status: | Published |
Publisher: | University of Sheffield |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100664 |