scispace - formally typeset
O

Oluwole Daniel Makinde

Researcher at Stellenbosch University

Publications -  616
Citations -  17516

Oluwole Daniel Makinde is an academic researcher from Stellenbosch University. The author has contributed to research in topics: Heat transfer & Nanofluid. The author has an hindex of 56, co-authored 576 publications receiving 13757 citations. Previous affiliations of Oluwole Daniel Makinde include Nelson Mandela Metropolitan University & Cape Peninsula University of Technology.

Papers
More filters
Journal ArticleDOI

Modelling the Effects of Variable Viscosity in Unsteady Flow of Nanofluids in a Pipe with Permeable Wall and Convective Cooling

TL;DR: In this article, the combined effects of variable viscosity, Brownian motion, thermophoresis and convective cooling on unsteady flow of nanofluids in a pipe with permeable wall are investigated.
Journal ArticleDOI

Impact of temperature variability on sirs malaria model

TL;DR: In this article, a nonlinear deterministic model for the impact of temperature variability on the epidemics of the malaria was proposed and analyzed, and the model analysis showed that all solutions of th...
Journal ArticleDOI

Slip Flow of an Unsteady Nanofluid Past a Stretching Surface in a Transverse Magnetic Field Using SRM

TL;DR: A theoretical and numerical examination has been completed to talk about the unsteady, two dimensional slip flow of a nanofluid of heat and mass transfer with transverse magnetic field was investigated in this article.
Journal ArticleDOI

Analytical and Numerical Study on Cross Diffusion Effects on Magneto-Convection of a Chemically Reacting Fluid with Suction/Injection and Convective Boundary Condition

TL;DR: In this article, the Soret and Dufour effects on unsteady mixed convective boundary layer flow of a viscous fluid over a stretching surface in a porous medium were investigated.
Journal ArticleDOI

Modeling the combined effects of careless susceptible and infective immigrants on the transmission dynamics of HIV/AIDS epidemics

TL;DR: Numerical simulations reveal that the presence of infective immigrants significantly affects the spread of the disease and that behavioral change of all classes of individuals should be considered in efforts aimed at controlling the spreadOf the disease.