Fluidic harvester under Train of Frozen Boxcars (TFB) loading: a parametric study

Amir H. Danesh-Yazdi, Oleg Goushcha, Niell Elvin, Yiannis Andreopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Train of Frozen Boxcars (TFB) model has been developed for a continuous piezoelectric cantilever fluidic harvester to simplify the effective one-way interaction between the fluid and the structure for certain flows. The TFB model treats the force due to vortex or turbulent flow as a series of boxcars of different amplitudes, widths and separations advected with a constant velocity over a piezoelectric beam. In this paper, the effect of five parameters, namely the number, amplitude, width, spatial separation and advection speed of the boxcars in the TFB forcing model, is studied for four different forcing scenarios. It has been observed that an increase in the amplitude or advection velocity of the boxcars leads to an increase in the power output, whereas a saturation limit in the power output is observed with an increase in the width or number of boxcars. More importantly, however, it is concluded that the separation between boxcars is the determining factor in maximizing or minimizing the power output from the harvester.

Original languageEnglish (US)
Title of host publicationActive and Passive Smart Structures and Integrated Systems XII
EditorsJae-Hung Han, Alper Erturk
PublisherSPIE
ISBN (Electronic)9781510616868
DOIs
StatePublished - 2018
EventActive and Passive Smart Structures and Integrated Systems XII 2018 - Denver, United States
Duration: Mar 5 2018Mar 8 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10595
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherActive and Passive Smart Structures and Integrated Systems XII 2018
CountryUnited States
CityDenver
Period3/5/183/8/18

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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