• An artificial intelligence based predictive models for estimations of transport and thermodynamics processes. This study dealt with a hybrid nanofluid SPF past cylinder embedded in porous media. The computational results were then used to train an tool developed through supervised learning methods. validated was subsequently estimate the behaviours temperature fields, Nusselt Bejan number and...

The present study addresses theoretically and computationally the performance of electrically conducting water-Fe3O4/CNT hybrid nanofluid in three-dimensional free convection entropy generation a wavy-walled trapezoidal enclosure. enclosure has two layers—a nanoliquid layer permeable medium layer. A transverse magnetic field is acting upward direction. Newtonian flow considered, modified Navier...

The numerical investigation of magneto-hydrodynamic (MHD) mixed convection flow and entropy formation non-Newtonian Bingham fluid in a lid-driven wavy square cavity filled with nanofluid was investigated by the finite volume method (FVM). data-based temperature nanoparticle size-dependent correlations for Al2O3-water nanofluids are used here. physical model is two-dimensional thermally adiabati...

Abstract The aim of this survey is to give a concise but technical and, as much possible, comprehensive introduction the resolution certain eigenvalue problems occurring in research field hydrodynamics via Chebyshev - $$\tau$$ τ method. While many details on construction mathematical models (for which we will...

Abstract Minimizing the entropy generation rate is one of key performance indicators for enhancing thermal design heat exchangers. This paper introduces a comprehensive numerical analysis turbulent water flow inside—newly proposed—conical tubes with dimples subjected to constant flux. The effect different tube diameter ratios (DR = 1, 1.5, 2, 3, and 5) modes (convergent divergent configurations...

Abstract A numerical study on heat transfer and entropy generation in natural convection of non-Newtonian nanofluid flow has been explored within a differentially heated two-dimensional wavy porous cavity. In the present study, copper (Cu)–water is considered for investigation where specific behavior Cu nanoparticles water to behave as based previously established experimental results. The powe...

This chapter concerns how dendritic trees may contribute to the information processing functions of individual neurons in the CNS. Before tackling this fascinating question, though, it is useful to address two background issues. First, could dendrites exist for reasons other than to enhance a cell's computing functions per se? If we focus on their spatial extent, we might infer that dendrites e...