dc.contributor.author | Luo, Liheng | |
dc.contributor.author | Liu, Dianzi | |
dc.contributor.author | Zhu, M | |
dc.contributor.author | Ye, Jianqiao | |
dc.date.accessioned | 2017-01-03T14:12:29Z | |
dc.date.issued | 2017-02-01 | |
dc.description.abstract | Energy 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.sponsorship | The 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.citation | Published online February 1, 2017 | en_GB |
dc.identifier.doi | 10.1177/1045389X17689943 | |
dc.identifier.uri | http://hdl.handle.net/10871/25027 | |
dc.language.iso | en | en_GB |
dc.publisher | SAGE Publications | en_GB |
dc.subject | Energy harvesting | en_GB |
dc.subject | piezoelectric | en_GB |
dc.subject | parametric optimization | en_GB |
dc.subject | design of experiments | en_GB |
dc.subject | metamodel | en_GB |
dc.title | Metamodel assisted design optimization of piezoelectric flex transducer for maximal bio-kinetic energy conversion | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 1045-389X | |
dc.description | This is the author accepted manuscript. The final version is available from SAGE Publications via the DOI in this record. | |
dc.identifier.journal | Journal of Intelligent Material Systems and Structures | en_GB |