Abstract
In this study, the impact of Cu and Al2O3 nanoparticles in a water-based nanofluid are considered. The application of this can be found in biomedical sensors and drug delivery. Specifically, it investigates heat transfer in the MHD flow of two nanofluids (Cu-water and Al2O3-water) over an exponentially stretching surface. The study formulates a model and renders it dimensionless using Similarity Transformation. Numerical solutions are obtained using the MATLAB package bvp4c. The focus is on analysing the heat transfer rate variation with nanoparticle volume fraction. Results indicate that Cu-water nanofluid exhibits higher heat transfer rates and lower skin frictions compared to Al2O3-water nanofluid.
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