Numerical simulation of graphene Maxwell nanofluid flow with thermal radiation and slips conditions along a linearly stretched sheet

The main goal of this study is to investigate the effects of various physical factors, including thermal radiation, thermal slip parameter, Eckert number, magnetic field, Maxwell parameter and Prandtl number on the flow of a hydromagnetic graphene Maxwell nanofluids, which is dissipative and heat-absorbing, across an exponentially stretched sheet. This complex processes by creating mathematical equations that are subsequently transformed into a set of partial differential equations. The similarity renovation transforms these equations into ordinary differential equations, and uses the fourth-order accurate BVP4C method to numerically solve the resulting boundary value problem. Furthermore, to determine the relationship between physical variables and the heat transmission rate, a statistical technique involving several quadratic regressions estimated assessment is applied to the mathematical values of the wall flow profile and local Nusselt numbers. The mathematical findings show that the graphene Maxwell nanofluid flow is positively influenced by the magnetized, unsteadiness, angle of inclination of the magnet field, and permeability factor. In contrast, the Maxwell component has a reversing effect on it. According to the regressive study, the Nusselt number is additional susceptible to the heat-absorbing factor than the Eckert number. Controlling this heating process is essential for fluid systems that are constructed or natural. Variation cooling and refrigeration for atomic power generation are two technical uses for this research. Lastly, the computational solution is validated by comparing the numerical results under constrained conditions with those of previously published publications. A comparison of the numerical figures reveals very good agreement between the outcomes.