Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29
Published: June 6, 2024
Language: Английский
Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29
Published: June 6, 2024
Language: Английский
Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 56, P. 104210 - 104210
Published: March 11, 2024
This study explores the influence of Fe3O4 – Water nanofluid, magnetic forces, and double-diffusive mixed convection characteristics on a steady-state, two-dimensional, laminar flow within an inclined square cavity containing four heated blockages. The governing equations are solved using Finite Volume Method (FVM). In this configuration, temperature concentration inside blockages higher than those left right walls, which moving in opposite directions to each other. remaining two adiabatic impermeable. A wide range parameters is investigated, including nanoparticle volume fractions (φ = 0.0, 0.02, 0.04, 0.06), inclination angle (γ 0°, 30°, 60°), Richardson number (Ri 0.1, 1.0, 10), Hartmann (Ha 0, 50, 100), block ratio (B 1/8), Lewis (Le 5.0), Prandtl (Pr 0.71), Buoyancy (N 2.0). extensively analyzes temperature, concentration, streamline contours based these parameters. Furthermore, research examines heat mass transfer rates surfaces by analyzing local average Nusselt (Nuavg) Sherwood numbers (Shavg). results suggest that introducing nanofluid has more pronounced fields patterns. Both have significant impact both At Ri, increase φ reduces Nuavg Shavg. However, total Shavg decrease at any Ri γ field.
Language: Английский
Citations
7Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 55, P. 104185 - 104185
Published: March 1, 2024
The objective of present analysis is to control excessive thermal behavior in microelectronic devices using heat sink and magnetic field. Improving technological innovation demands proper temperature evacuation components. A feasible method for cooling microelectronics use nanofluid, a novel heat-transport liquid. To achieve significant cooling, must be small with specific operating liquids than regular liquids. work investigates the fluid motion transmission properties nanofluids as advanced fluids coolant systems. numerical technique used investigate mechanism stretching surface. Computational dynamics 2D liquid movement simulation are employed determine mathematical model. governing model transformed Keller box Newton Raphson through MATLAB program. base water laminar motion. influence nanoparticles volume fraction, sink, variable density viscous dissipation on efficiency investigated. It noticed that decreases increases. found reduced by layer sink. devices.
Language: Английский
Citations
6Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29
Published: June 6, 2024
Language: Английский
Citations
2