The impact of employing a magnetic field as well as Fe3O4 nanoparticles on the performance of phase change materials

Mohammad Zandie, Amirhossein Moghaddas, Alireza Kazemi, Mohammad Ahmadi, Hadi Nikbin Feshkache, Mohammad Hossein Ahmadi*, Mohsen Sharifpur

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


In this study a 2D cubic chamber model filled with paraffin is analyzed with and without the inclusion of magnetic Fe3O4 nanoparticles at concentrations of 0.5, 1, 1.5 and 2 wt%, and an external magnetic field of intensities 0.005, 0.01, 0.015 and 0.02 T. It is ascertained that adding magnetic nanoparticles leads the horizontal temperature gradient to be reduced owing to increments in thermal conductivity. Additionally, this feature is found to be accelerated by applying an external magnetic field, which shapes highly conductive cluster formations of nanoparticles. However, since the increase in nanoparticle concentration and magnetic intensity increases the composite viscosity, there is an optimum configuration while applying both schemes. As such, the addition of 1 wt% nanoparticles provides the best results, as the melting time is reduced up to 25% compared to pure paraffin. Meanwhile, the melting time of a 1 wt% nanoparticle-containing phase change material (PCM) in the presence of an external magnetic field is improved up to 24% compared to the case with no external magnetic field. Also, the heat transfer coefficient of a 1 wt% nanoparticle-containing PCM both with and without an external magnetic field is also staggeringly enhanced compared to pure paraffin. Good correspondence with experimental data was achieved.

Original languageEnglish
Pages (from-to)196-214
Number of pages19
JournalEngineering Applications of Computational Fluid Mechanics
Issue number1
Publication statusPublished - 2022


  • Phase change material
  • energy transfer rate
  • magnetic regulation
  • nanocomposites
  • nanoparticles
  • thermal energy storage

ASJC Scopus subject areas

  • Computer Science(all)
  • Modelling and Simulation

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