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Parameter uncertainties in the design and optimization of cantilever piezoelectric energy harvesters

Franco, V.R. ; Varoto, P.S.

Mechanical systems and signal processing, 2017-09, Vol.93, p.593-609 [Periódico revisado por pares]

Berlin: Elsevier Ltd

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  • Título:
    Parameter uncertainties in the design and optimization of cantilever piezoelectric energy harvesters
  • Autor: Franco, V.R. ; Varoto, P.S.
  • Assuntos: Bimorph cantilever beam ; Cantilever beams ; Computer simulation ; Design optimization ; Design parameters ; Electric power generation ; Energy conversion efficiency ; Energy harvesting ; Harvesters ; Monte Carlo simulation ; Monte Carlo simulations ; Optimization ; Parameter uncertainty ; Piezoelectricity ; Probability ; Uncertainty
  • É parte de: Mechanical systems and signal processing, 2017-09, Vol.93, p.593-609
  • Descrição: A crucial issue in piezoelectric energy harvesting is the efficiency of the mechanical to electrical conversion process. Several techniques have been investigated in order to obtain a set of optimum design parameters that will lead to the best performance of the harvester in terms of electrical power generation. Once an optimum design is reached it is also important to consider uncertainties in the selected parameters that in turn can lead to loss of performance in the energy conversion process. The main goal of this paper is to perform a comprehensive discussion of the effects of multi-parameter aleatory uncertainties on the performance and design optimization of a given energy harvesting system. For that, a typical energy harvester consisting of a cantilever beam carrying a tip mass and partially covered by piezoelectric layers on top and bottom surfaces is considered. A distributed parameter electromechanical modal of the harvesting system is formulated and validated through experimental tests. First, the SQP (Sequential Quadratic Planning) optimization is employed to obtain an optimum set of parameters that will lead to best performance of the harvester. Second, once the optimum harvester configuration is found random perturbations are introduced in the key parameters and Monte Carlo simulations are performed to investigate how these uncertainties propagate and affect the performance of the device studied. Numerically simulated results indicate that small variations in some design parameters can cause a significant variation in the output electrical power, what strongly suggests that uncertainties must be accounted for in the design of beam energy harvesting systems.
  • Editor: Berlin: Elsevier Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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