A ferrofluid based energy harvester: Computational modeling, analysis, and experimental validation

Qi Liu, Saad F. Alazemi, Mohammed Daqaq, Gang Li

Research output: Contribution to journalArticle

Abstract

A computational model is described and implemented in this work to analyze the performance of a ferrofluid based electromagnetic energy harvester. The energy harvester converts ambient vibratory energy into an electromotive force through a sloshing motion of a ferrofluid. The computational model solves the coupled Maxwell's equations and Navier-Stokes equations for the dynamic behavior of the magnetic field and fluid motion. The model is validated against experimental results for eight different configurations of the system. The validated model is then employed to study the underlying mechanisms that determine the electromotive force of the energy harvester. Furthermore, computational analysis is performed to test the effect of several modeling aspects, such as three-dimensional effect, surface tension, and type of the ferrofluid-magnetic field coupling on the accuracy of the model prediction.

Original languageEnglish (US)
Pages (from-to)105-118
Number of pages14
JournalJournal of Magnetism and Magnetic Materials
Volume449
DOIs
StatePublished - Mar 1 2018

Fingerprint

Harvesters
Magnetic fluids
ferrofluids
Electromotive force
electromotive forces
energy
Magnetic fields
liquid sloshing
Liquid sloshing
Maxwell equations
magnetic fields
Maxwell equation
Electromagnetic waves
Navier-Stokes equation
Navier Stokes equations
Surface tension
interfacial tension
electromagnetism
fluids
configurations

Keywords

  • Energy harvesting
  • Ferrofluid
  • Finite element method
  • Sloshing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

A ferrofluid based energy harvester : Computational modeling, analysis, and experimental validation. / Liu, Qi; Alazemi, Saad F.; Daqaq, Mohammed; Li, Gang.

In: Journal of Magnetism and Magnetic Materials, Vol. 449, 01.03.2018, p. 105-118.

Research output: Contribution to journalArticle

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