Table 1 Comparison of Previous Studies vs. Present Work.

From: SOR-Based numerical modeling of hybrid nanofluid flow over a rotating disk with magneto–nonlinear radiation and arrhenius activation energy considering shape factors

Aspect

Previous Studies

Present Study

Numerical Method

Most studies employ shooting methods, Runge–Kutta, or MATLAB’s bvp4c solver, Homotopy Analysis, or Spectral collocation methods. For example, Kanwal et al.20 used bvp4c for nanofluid flow with activation energy and radiation

Applies the Successive Over-Relaxation (SOR) method—a robust finite-difference scheme offering rapid and stable convergence for the strongly nonlinear boundary-layer equations encountered

Thermal Radiation

Nonlinear thermal radiation occasionally included in hybrid-nanofluid rotating-disk studies (e.g., Mishra et al.54, Panda et al.55 & Farooq et al.67 considered hybrid nanofluid with nonlinear radiation)

Integrates nonlinear \(T^{4}\) thermal radiation, more accurate under high temperature differences, into the hybrid nanofluid model, enhancing realism for heat-transfer scaling

Chemical Effects

Limited inclusion of Arrhenius kinetics. Only few studies examined Arrhenius activation energy in Darcy–Forchheimer rotating-disk flow using shooting methods

Incorporates Arrhenius activation energy into the rotating disk hybrid nanofluid model by incorporating SOR technique, enabling realistic modeling of temperature sensitive reactive transport relevant in catalytic and biochemical applications

Nanoparticle Types

Typical works focus on bi-hybrid suspensions with spherical particles. Acharya et al.64 & Azhar et al.65 examined a hybrid nanofluid flow with metal oxide pairs

Studies a hybrid system (SWCNT-\(TiO_{2}\) & MWCNT-\(CoFe_{2} O_{4} \,\)), combining anisotropic (brick & cylinder) and magnetic CNT/oxide composites, a unique formulation in rotating-disk nanofluid research

Shape Factor

Some works assess nanoparticle shape, e.g., Azhar et al.65 examined Axisymmetric transport of MoS₂–SiO₂ nanocomposites in ethylene glycol with sphericity-based evaluation of nanoscale particles

Explicitly includes nanoparticle shape factors (e.g., brick and cylindrical morphology of SWCNT-\(TiO_{2}\) & MWCNT-\(CoFe_{2} O_{4} \,\)) in effective property modeling, which significantly influences conductivity and viscosity in hybrid systems

Application Relevance

Focus on academic modeling; limited industrial linkage

Model relevance extended to catalytic reactors, polymer processing, thermal management, and energy systems due to combined radiation reaction nanoparticle effects