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This study discusses the flow of hybrid nanofluid over an infinite disk in a Darcy-Forchheimer permeable medium with variable thermal conductivity and viscosity. The objective of the current theoretical investigation is to identify the thermal energy characteristics of the nanomaterial flow resulting from thermo-solutal Marangoni convection on a disc surface. By including the impacts of activation energy, heat source, thermophoretic particle deposition and microorganisms the proposed mathematical model becomes more novel. The Cattaneo-Christov mass and heat flux law is taken into account when examining the features of mass and heat transmission rather than the traditional Fourier and Fick heat and mass flux law. MoS and Ag nanoparticles are dispersed in the base fluid water to synthesize the hybrid nanofluid. PDEs are transformed to ODEs by using similarity transformations. The RKF-45th order shooting method is used to solve the equations. With the use of appropriate graphs, the effects of a number of non-dimensional parameters on velocity, concentration, microorganism, and temperature fields are addressed. The local Nusselt number, density of motile microorganisms and Sherwood number are calculated numerically and graphically to derive correlations in terms of the relevant key parameters. The findings show that as we increase the Marangoni convection parameter, skin friction, local density of motile microorganisms, Sherwood number, velocity, temperature and microorganisms profiles increase, whereas Nusselt number and concentration profile exhibit an opposite behavior. The fluid velocity is reduced as a result of enhancing the Forchheimer parameter and Darcy parameter.
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http://dx.doi.org/10.1038/s41598-023-32011-x | DOI Listing |
Electromagn Biol Med
September 2025
Department of Mathematics and Statistics, Collage of Science, Taif University, Taif, Saudi Arabia.
This work investigates the electroosmotic peristaltic transport of a Casson (blood)-based hybrid nanofluid via an asymmetric channel embedded inside a porous medium. The model takes into consideration electric and magnetic field effects, Ohmic heating, as well as velocity and thermal slip conditions. The governing equations are simplified and solved by employing unsupervised sigmoid-based neural networks (SNNs), Fibonacci-based neural networks (FNNs), and their hybrid model (FSNNs) under the assumptions of low Reynolds number and long wavelength.
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August 2025
College of Technical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
The thermophysical properties of novel Graphene/MXene-based fluids have great potential for enhancing the efficiency of solar energy systems. However, optimizing these properties remains challenging due to the complex interactions between nanomaterial composition and system conditions. This study presents a new hybrid framework that combines response surface methodology (RSM), heuristic and metaheuristic optimization, and advanced decision-making techniques to enhance the thermal conductivity (TC) and dynamic viscosity (DV) of these fluids.
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August 2025
Department of Mechanical Engineering, Sejong University, Seoul, 05006, South Korea.
This work uses the Darcy-Forchheimer model in porous media to study the thermal and flow behaviour of such hybrid nanofluids, monitoring the combined impacts of viscous dissipation, porosity, Forchheimer number, Eckert number, and changing water temperatures. Velocity, temperature, and heat transfer profiles are examined using the BVP4C numerical scheme, which has better accuracy in solving nonlinear boundary value problems. Response Surface Methodology (RSM) is used to optimize system performance, including analysing multi-parameter interactions and how these factors affect the effectiveness of heat transfer to complement the numerical approach.
View Article and Find Full Text PDFWater Environ Res
August 2025
Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah, Iran.
This study investigates a novel approach to enhancing still solar desalination technology by modifying a conventional solar still unit (SSU) with a cylindrical solar water heater (CSWH) and utilizing Cu/AlO hybrid nanofluid as the working fluid. The addition of hybrid nanoparticles significantly improves the heat transfer performance of the system, particularly in the evaporative heat transfer process. This enhancement is achieved by increasing the thermal conductivity of the base fluid, thereby boosting the overall heat transfer coefficient.
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August 2025
Department of Mechanical Engineering, College of Engineering, University of Ha'il, 81451, Ha'il City, Saudi Arabia.
This study provides valuable insight into developing more accurate blood-flow models for targeted drug delivery and therapeutic heat management in stenosed arteries by focusing on the synergistic effects of electrokinetic forces and thermal-chemical interactions. The aim is to investigate electroosmotic flow and endothermic/exothermic chemical reactions within a constricted artery by incorporating the Cattaneo-Christov (CC) heat flux model into a Carreau ternary hybrid nanofluid framework. The governing equations are solved computationally using the BVP4C solver.
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