Numerical study for temperature-dependent viscosity based unsteady flow of GP-MoS2/C2H6O2-H2O over a porous stretching sheet

The theme of this research is to attain the numerical solution of magnetized GP-MoS2/C2H6O2-H2O unsteady flow over a stretching surface, using Legendre Wavelet Collocation Technique (LWCT). The authors incorporate Legendre wavelet basis functions and its operational matrix of integration (OMI) in LWCT, which gives precise solutions for non-linear ODEs using MATLAB software. In this study, the conventional fluid is the combination of water (H2O) and ethylene glycol (C2H6O2). The ratio of volume fraction of existing nanoparticles, i.e. graphene (GP) and molybdenum disulfide (MoS2) is taken as 8% respectively. The impact of temperature dependent viscosity (TDV), magnetic field, suction and porosity and viscous dissipation on temperature, velocity, skin friction and heat transfer rate is incorporated. To validate the code, both tabular and graphical comparisons are presented with previous works. The results declare that the rate of heat transfer (HT) of GP-MoS2/C2H6O2-H2O is continuously augmented with rise in TDV and the Hartree pressure gradient. Moreover, the velocity outlines of GP-MoS2/C2H6O2-H2O hybrid nanofluid constantly reduces with increase in TDV, magnetic field and porosity parameter values.