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COMPUTATIONAL MODELLING OF HEAT AND MASS TRANSFER OPTIMIZATION IN COPPER WATER NANOFLUID FLOW WITH NANOPARTICLE IONIZATION
Keywords:
heat transfer, nanofluid, nanoparticle ionization, mass transfer, natural convection.DOI:
https://doi.org/10.17654/0973576323001Abstract
An exploration is carried out to model the heat and mass transfer optimization of Cu-water nanofluid in a natural convective flow over a vertical plane wall with Cu-nanoparticle ionization. Nanoparticle ionization mechanism has been included in the modelling of nanofluid flow. Using the similarity transformation method, the basic two-dimensional momentum, energy, and nanoparticle concentration equations have been transferred to a set of locally similar equations and solved numerically using MATLAB bvp4c function. The impacts of the nanoparticle ionization on the nanofluid flow parameters, skin- friction, heat transfer and nanoparticle mass transfer coefficients are determined and shown graphically. The major outcome of the present study reveals that an increment in the ionization parameter elevates the skin-friction, heat and mass transfer rate from the wall to nanofluid. It is concluded that Cu-nanoparticle ionization contributes towards the augmentation of heat and mass transfer capabilities of Cu-water nanofluid.
Received: July 26, 2022;
Revised: September 19, 2022;
Accepted: October 11, 2022;
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