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This study reports the three-dimensional (3D) flow of Ag-MgO hybrid nanofluid (HNF) over a spinning disc of flexible thickness in the presence of modified Fourier law. The HNF is contained of silver and magnetic nanoparticulate in the base fluid engine oil. The energy transition has been examined in the involvement of melting heat propagation. The highly nonlinear system of partial differential equations (PDEs) is processed by adopting the proper similarity conversions to attain the coupled ODE system. The obtained system of modeled equations is numerically solved by employing the Parametric Continuation Method (PCM). The nature of various constraints, as opposed to the velocities, energy, and mass transmission, is portrayed and described. In comparison to the simple nanofluid flow, the hybrid nanoliquid flow’s velocity and heat conduction are observed to have a significant influence. As a result, the functionality of the hybrid nanoliquid is significantly superior to that of the conventional nanofluid. The positive variation in power-law exponent n and Reynold number Re significantly enhances the fluid velocity. The effect of both melting coefficient and thermal relaxation term reduces fluid temperature.

The current paper describes a Darcy-Forchheimer flow of Casson hybrid nanofluid through an incessantly expanding curved surface. Darcy-Forchheimer influence expresses the viscous fluid flow in the porous medium. Carbon nanotubes (CNTs) with a cylindrical form and iron-oxide are utilized to make hybrid nanofluids. Using Karman’s scaling, the principal equations are rearranged to nondimensional ordinary differential equations. The “Homotopy analysis method” is used to further build up the analytic arrangement of modeled equations. The impact of flow variables on the velocity and temperature profiles has been tabulated and explained. The flow velocity is raised when both the curvature and volume fraction parameters are elevated. The temperature and velocity profiles exhibit the opposite tendency when the Forchheimer number is increased, since the fluid velocity decreases while the energy profile grows. The addition of CNTs and iron nanocomposites improves the thermophysical characteristics of the base fluid significantly. The obtained consequences show that hybrid nanofluids are more efficient to improve the heat transfer rate. Using CNTs and nanomaterials in the base fluid to control the coolant level in industrial equipment is a wonderful idea.

In this work, an innovative integrated system that is incorporated from solid oxide electrolysis cells and an oxygen separator membrane is assessed and optimized from the techno-economic aspects to respond to oxygen, hydrogen, and nitrogen demands for hospitals and other health care applications. Besides, a parametric comparison is conducted to apprehend the weights of parameters changes on the performance of criteria. Relying on the assessments, from the hydrogen production of 1 kg/s, 23.19 kg/s of oxygen, and 50.22 kg/s of nitrogen are produced. The parametric study shows that by raising the working temperature of the electrolyzer, the cell voltage variation has descending trend and the power consumption of the system is decreased by 19%. Finally, the results of multi-criteria optimization on the Pareto front reveal that in the optimal case, the system payback period is attained at about 5.32 years and the exergy efficiency of 92.47%, which are improved 16.6% and 16.2% compared to the base case, sequentially. Consequently, this system is proposed to consider as a cost-effective and reliable option towards its vital and valuable productions, in the pandemic period and after’s.