Thermal management of pin-fin heat sinks in square vented cavity using Magnetohydrodynamic hybrid nanofluids under thermal radiation

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 162, P. 108568 - 108568

Published: Jan. 6, 2025

Language: Английский

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Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al2O3/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Periodic Magnetohydrodynamic Effects

Mathematics, Journal Year: 2024, Volume and Issue: 13(1), P. 78 - 78

Published: Dec. 28, 2024

This study explores the optimization of a Cu–Al2O3/water hybrid nanofluid within an irregular wavy enclosure under inclined periodic MHD effects. Hybrid nanofluids, with different mixture ratios copper (Cu) and alumina (Al2O3) nanoparticles in water, are used this study. Numerical simulations using Galerkin residual-based finite-element method (FEM) conducted to solve governing PDEs. At same time, artificial neural networks (ANNs) response surface methodology (RSM) employed optimize thermal performance by maximizing average Nusselt number (Nuav), key indicator transport efficiency. Thermophysical properties such as viscosity conductivity evaluated for validation against experimental data. The results include visual representations heatlines, streamlines, isotherms various physical parameters. Additionally, Nuav, friction factors, efficiency index analyzed nanoparticle ratios. findings show that buoyancy parameters significantly influence heat transfer, friction, addition Cu improves compared Al2O3 nanofluid, demonstrating superior nanofluid. also indicate adding Cu/water diminishes rate. waviness geometry shows significant impact on management well. Moreover, statistical RSM analysis indicates high R2 value 98.88% function, which suggests model is well suited predicting Nuav. Furthermore, ANN demonstrates accuracy mean squared error (MSE) 0.00018, making it strong alternative analysis. Finally, focuses interaction between geometry, effects, can transfer contribute energy-efficient cooling or heating technologies.

Language: Английский

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Natural convection of water-based nanofluids in three-dimensional enclosures

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: July 9, 2024

Language: Английский

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Impact of inclined magnetic field on natural convection in ferrofluid within a semi-circular enclosure with a heated wavy surface

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: July 13, 2024

Language: Английский

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Numerical modeling and analysis of nanofluids subcooled boiling in a horizontal circular tube

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: June 12, 2024

Subcooled flow boiling, characterized by large heat transfer coefficient (HTC), is widely encountered and of great significance in energy industry. To enhance its thermal efficiency for compact applications, nanofluids are employed improving the thermophysical properties. This article numerically investigates subcooled boiling a horizontal tube under wide-range, multi-factor impacts, including Reynolds number 40,000–50,000, nanoparticle type, that is, Al2O3, TiO2, Cu, volume fraction 1%–5%. The equilibrium assumption Eulerian multiphase model utilized after numerical validations. Results indicate vapor augments along while nanoparticles reduce production during boiling. As performance, can HTC at expense rising pressure drop. In case Al2O3/Water nanofluid, maximum increases 10.56%. contrast, drop 2.1 times when Al2O3 concentration changes from 1% to 5%. performance evaluation criterion (PEC) this always exceeds 1 nanofluids, demonstrating enhancement outweighs penalty, nanofluid show superior with PEC achieving 1.1. work provide support profound understanding utilization

Language: Английский

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Effect of the combination of squid-fin-inspired wall and internal vortex generator on methane reduction in a micro-fluidized bed reactor

Fuel, Journal Year: 2024, Volume and Issue: 381, P. 133476 - 133476

Published: Oct. 30, 2024

Language: Английский

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