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dc.contributor.authorLuo, Liheng
dc.contributor.authorLiu, Dianzi
dc.contributor.authorZhu, M
dc.contributor.authorYe, Jianqiao
dc.date.accessioned2017-01-03T14:12:29Z
dc.date.issued2017-02-01
dc.description.abstractEnergy Harvesting Devices (EHD) have been widely used to generate electrical power from the bio-kinetic energy of human body movement. A novel Piezoelectric Flex Transducer (PFT) based on the Cymbal device has been proposed by Daniels et al. (2013) for the purpose of energy harvesting. To further improve the efficiency of the device, optimal design of the PFT for maximum output power subject to stress and displacement constraints is carried out in this paper. Sequential Quadratic Programming (SQP) on metamodels generated with Genetic Programming from a 140-point optimal Latin hypercube design of experiments is used in the optimization. Finally, the optimal design is validated by finite element simulations. The simulations show that the magnitude of the electrical power generated from this optimal PFT harvesting device can be up to 6.5 mw when a safety design factor of 2.0 is applied.en_GB
dc.description.sponsorshipThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study is financially supported by the EPSRC (EP/K020080/1)
dc.identifier.citationPublished online February 1, 2017en_GB
dc.identifier.doi10.1177/1045389X17689943
dc.identifier.urihttp://hdl.handle.net/10871/25027
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.subjectEnergy harvestingen_GB
dc.subjectpiezoelectricen_GB
dc.subjectparametric optimizationen_GB
dc.subjectdesign of experimentsen_GB
dc.subjectmetamodelen_GB
dc.titleMetamodel assisted design optimization of piezoelectric flex transducer for maximal bio-kinetic energy conversionen_GB
dc.typeArticleen_GB
dc.identifier.issn1045-389X
dc.descriptionThis is the author accepted manuscript. The final version is available from SAGE Publications via the DOI in this record.
dc.identifier.journalJournal of Intelligent Material Systems and Structuresen_GB


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