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.

heat transfer, nanofluid, nanoparticle ionization, mass transfer, natural convection.

Received: July 26, 2022; Revised: September 19, 2022; Accepted: October 11, 2022; Published: January 23, 2023

How to cite this article: Aditya Kumar Pati, Ashok Misra, Saroj Kumar Mishra, Sujit Mishra, Runu Sahu and Subhashree Panda, Computational modelling of heat and mass transfer optimization in copper water nanofluid flow with nanoparticle ionization, JP Journal of Heat and Mass Transfer 31 (2023), 1-18. http://dx.doi.org/10.17654/0973576323001

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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