Modelling, simulation and optimisation of a piezoelectric energy harvester

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dc.contributor.author Farnsworth, Michael
dc.contributor.author Tiwari, Ashutosh
dc.contributor.author Dorey, Rob
dc.date.accessioned 2018-01-18T11:24:11Z
dc.date.available 2018-01-18T11:24:11Z
dc.date.issued 2014-10-31
dc.identifier.citation Farnsworth M, Tiwari A, Dorey R, Modelling, simulation and optimisation of a piezoelectric energy harvester, Procedia CIRP, Vol. 22, 2014, pp. 142-147 en_UK
dc.identifier.issn 2212-8271
dc.identifier.uri http://dx.doi.org/10.1016/j.procir.2014.07.152
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/12904
dc.description.abstract The power generation efficiency of piezoelectric energy harvesters is dependent on the coupling of their resonant frequency with that of the source vibration. The mechanical design of the energy harvester plays an important role in defining the resonant frequency characteristics of the system and therefore in order to maximize power density it is important for a designer to be able to model, simulate and optimise designs to match new target applications. This paper investigates a strategy for the application of soft computing techniques from the field of evolutionary computation towards the design optimisation of piezoelectric energy harvesters that exhibit the targeted resonant frequency response chosen by the designer. The advantages of such evolutionary techniques are their ability to overcome challenges such as multi-modal and discontinuous search spaces which afflict more traditional gradient-based methods. A single case study is demonstrated in this paper, with the coupling of a multi-objective evolutionary algorithm NSGA-II to a multiphysics simulator COMSOL. Experimental results show successful implementation of the schema with all 5 experimental tests producing optimal piezoelectric energy harvester designs that matched the desired frequency response of 250 Hz. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Self-healing en_UK
dc.subject MEMS en_UK
dc.subject Piezoelectric en_UK
dc.subject Optimisation en_UK
dc.subject Modelling en_UK
dc.title Modelling, simulation and optimisation of a piezoelectric energy harvester en_UK
dc.type Article en_UK


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