This study looks at the natural convections of Cu + Al2O3/H2O nanofluid into a permeable chamber. The magnetic field is also executed on flow and analysis has been approached numerically by control volume method. hybrid heat in terms transfer flux was supplemented with wide range parameters fractions, Rayleigh numbers Hartmann porosity factor. It's determined that thermal distribution are heavily affected concentration nanoparticles. nanoparticles increases transport convective energy inside...

In this work, computational intelligence methodologies are used to investigate the trihybrid nanofluid, a new theoretical model with remarkable thermal transmission properties enhance liquid performance. The nanostructure Cu, Al2O3, and TiO2 were immersed in base (C2H6O2) produce (Cu + Al2O3 TiO2/C2H6O2) nanofluid. Darcy-Forchheimer porous medium over stretching Riga sheet, study examines electromagnetic ternary hybrid nanofluid flow under various slip situations. takes into account complex...

Artificial Neural Networks are incredibly efficient at handling complicated and nonlinear mathematical problems, making them very useful for tackling these challenges. neural networks offer a special computational architecture that is extremely valuable in disciplines like biotechnology, biological computing, fluid dynamics. The present work investigates the applicability of back-propagation artificial conjunction with Levenberg-Marquardt algorithm evaluating heat transmission hybrid...

The subject of discussion in this analysis is the time independent flow electrically conducting nanofluid with entropy generation over a radially flexible disk. Considerations for magnetic fields, nonuniform heat generation, Darcy-Forchheimer porous space, dissipation, Ohmic heating and chemical reactions activation energy are incorporated into distribution. For number engineering biomedical objectives, mathematical model introduced goal accelerating rate transmission improving performance...

The present work is focused on enhancing the overall thermo-hydraulic performance of a previously proposed C-shaped printed circuit heat exchanger (PCHEs) using Machine Learning (ML) Algorithms. In this context, CFD analysis carried out 81 different channel configurations geometry, and computed data used to train three ML algorithms. Later, geometry optimized by coupling trained model with multi-objective genetic algorithm (MOGA). Finally, (called optimizedML) investigated numerically for...

Hybrid nanofluids are extremely important in field of engineering and technology due to their higher heat transportation performance resulting increased transfer rates. In the presence thermal flux, effect a slanted MHD with velocity slip condition on CNTs hybrid nanocomposite across gradually extending surface is investigated. present analysis, Maxwell nanofluid embedded SWCNT MWCNT (single multiple wall carbon nanotubes) nanoparticles. The nanomaterials transformation framework obtained by...

The current investigation employs a numerical simulation to demonstrate the impact of hall on unsteady free convective flow caused by hybrid-nanofluid over revolving sphere approaching stagnation point. prominent characteristics Lorentz force as result magnetic field coupling with hybrid nanofluid is also explored. process energy and mass transmission inspected nonlinear thermal radiations, non-uniform supply, dissipation chemical reaction. In model, unique class known being used, which...

Abstract This study explores the impacts of heat transportation on hybrid (Ag + MgO) nanofluid flow in a porous cavity using artificial neural networks (Bayesian regularization approach (BRT-ANN) technique). The considered this analysis is semicircular shape with heated and cooled wall. dynamics energy transmission are influenced by various features such as effect magnetize field, porosity volume fraction nanoparticles. To explore outcomes these thermal transport, BRT-ANN model developed....

Abstract The flow at a time-independent separable stagnation point on Riga plate under thermal radiation and electro-magnetohydrodynamic settings is examined in this research. Two distinct base fluids-H 2 O C H 6 TiO nanostructures develop the nanocomposites. problem incorporates equations of motion energy along with unique model for viscosity conductivity. Similarity components are then used to reduce these calculations. Runge Kutta (RK-4) function yields simulation result, which displayed...

Current work explores the intricacies of magnetohydrodynamic and mix convectional boundary-layer flow concerning couple stress Casson nanofluid (CSCNF) dynamics via a 3D stretchable surface. The addition active passive control mechanisms for nanoscales creates an innovative dimension to exploration. Remarkably, analysis incorporates influence non-Fourier non-Fickian heat mass flux, alongside effects thermophoresis Brownian diffusion, systematically investigate transportation phenomena....

This study analyses the heat transfer and flow characteristics of cross-flow over two heated infinite cylinders in a tandem (in-line) configuration. Non-isothermal Large Eddy Simulations (LES) using dynamic Smagorinsky model were conducted at fixed Reynolds number 3,000 (based on free stream velocity cylinder diameter). A range gap ratios (1.0≤L/D≤5.0) was investigated (in increments 0.25) with different Prandtl numbers Pr=0.1 1.0. Results show that structures vary according to order...