Our current research explores the computational analysis of magnetized 3D revolving hybrid nanofluid flow with nonlinear thermal radiation and heat source/sink effects over a stretching sheet. The problem is modelled using the governing equations for mass, momentum, and energy, which are solved numerically by employing the BVP5C and Runge–Kutta shooting techniques and using MATLAB. The concurrent study of the substrate, the magnetic field with nonlinear thermal radiation and nonlinear heat source/sink effects, and fully three-dimensional partial differential equations are the innovations of this work that offer valuable insights into enhancing thermal and mass transport efficiency. The implications of dimensionless variables, such as thermal radiation 1 ≤ Rd ≤ 1.9, temperature ratio parameter 1 ≤ \(\theta_{w}\) ≤ 2.5, space-dependent heat source/sink 1 \(\le {A}^{*}\le 4\) , temperature-dependent heat source/sink 1 ≤ \({B}^{*}\le 2.5\) , porosity parameter 1 ≤ K ≤ 7, magnetic parameter 1 ≤ M ≤ 7 on the velocity along the x and y-axis, temperature profile, concentration distributions, and thermal performance are thoroughly examined through visualization. In addition to this skin friction (local shear stress), (Nusselt, Sherwood number) heat, and mass transfer rate impacts are also demonstrated in tabular forms. Our significant findings indicate that with an increment in the Porosity parameter K and magnetic parameter M, the velocity decelerates along both the x and y-axes. Additionally, as the values Rd, \({A}^{*}\) , \({B}^{*}\) , and \(\theta_{w}\) rise, there is a corresponding enhancement in the temperature profile. With an appreciation of Schmidt number Sc and chemical reaction parameter Rc, there is a decay in the concentration profile. The Nusselt number demonstrates a downward trend, when Rd, \({A}^{*}\) and \({B}^{*}\) elevates. Moreover, for the magnetic parameter and M, rotation parameter ε the skin friction along the x and y-axes are enhanced on the other hand Nusselt and Sherwood numbers depreciate gradually. This model has been thoroughly validated with existing data and has shown outstanding accuracy. The results demonstrate that the hybrid nanofluid’s heat transfer characteristics are significantly improved under the applied conditions, offering the potential for enhanced thermal performance in engineering applications. Following Karl Pearson’s coefficient of correlation method upon calculation we found that there exists a perfect positive correlation close to 1, between the current and previous literature outcomes for the skin friction for the stretching ratio parameter (λ). The findings of this study are particularly valuable for applications where efficient heat transfer is critical. For instance, in heat exchangers, cooling systems, and energy-efficient devices, hybrid nanofluids can enhance thermal performance due to their superior heat transfer capabilities. The use of non-linear thermal radiation and heat source/sink effects further optimizes thermal management in systems exposed to high heat flux or magnetic fields. Therefore, this research provides important insights into the design of advanced materials and systems aimed at achieving enhanced thermal performance in industrial applications.
