In the present study, Computational Fluid Dynamics (CFD) techniques and Artificial Neural Networks (ANN) are used to predict the pressure drop value (Δp ) of Al2O3-water nanofluid in flat tubes. Δp  is predicted taking into account five input variables: tube flattening (H), inlet volumetric flow rate (Qi  ), wall heat flux (qnw  ), nanoparticle volume fraction (Φ) and nanoparticle diameter (dp ...

The mathematical modeling of unsteady flow micropolar Cu–Al2O3/water nanofluid driven by a deformable sheet in stagnation region with thermal radiation effect has been explored numerically. To achieve the system nonlinear ordinary differential equations (ODEs), we have employed some appropriate transformations and solved it numerically using MATLAB software (built-in solver called bvp4c). Influ...

This study investigated a simple model of transformers that have liquid magnetic cores with different concentrations of ferro-nanofluids. The simple model was built on a capillary by enamel-insulated wires and with ferro-nanofluid loaded in the capillary. The ferro-nanofluid was fabricated by a chemical co-precipitation method. The performances of the transformers with either air core or ferro-...

The physical aspects of inclined MHD nanofluid toward a stretching sheet embedded in porous medium were visualized, which has numerous applications industry. Two types nanoparticles, namely copper and aluminum oxide, used, with water (limiting case Casson liquid) as the base fluid. Similarity transformations used to convert partial differential equations into set ordinary equations. Closed solu...

Laminar two dimensional forced convective heat transfer of Al2O3 –water nanofluid in a horizontal microchannel has been studied numerically, considering axial conduction, viscous dissipation and variable properties effects. The existing criteria in the literature for considering viscous dissipation in energy equation are compared for different cases and the most proper one is applied for the re...

In the present study, the effective parameters of water-Al2O3 nanofluid flowing in flat tubes are investigated using the EFAST Sensitivity Analysis (SA) method. The SA is performed using GMDH type artificial neural networks (ANN) which are based on validated numerical data of two phase modeling of nanofluid flow in flat tubes. There are five design variables namely: tube flattening (H), flow ra...

The boundary layer flow over a stretching/shrinking cylinder in hybrid nanofluid with the effects of suction, partial slip and convective condition is studied. Hybrid nanoparticles Al2O3 TiO2 water as based fluid are considered study. differential equations transformed to ordinary by employing similarity variables. numerical results obtained using bvp4c solver MATLAB software. influence volume ...

In recent years, the application of environmentally friendly cutting fluids in metal industry has been a growing concern all over world. this study, minimum quantity cooling lubrication (MQCL) technique, which uses very small amount oil, is motivated to apply hard milling process Hardox 500 steel. Further, rice bran natural biodegradable used as base fluid Al2O3/MoS2 hybrid nanofluid. ANOVA ana...