Regression modeling of Bödewadt slip flow dynamics involving Reiner-Rivlin nanofluid based on a modified Buongiorno approach DOI

Tayyaba Ibrahim,

M. Mustafa, Junaid Ahmad Khan

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(10), P. 105042 - 105042

Published: Sept. 9, 2024

Abstract Regression models are useful in analyzing rotational flows as they enable accurate predictions of wall shear and heat transfer coefficient. In addition, Bödewadt flow is paramount importance fluid dynamics rotating systems such turbomachinery geophysical flows. Moreover, nanofluid’s enhanced properties can improve cooling efficiency applications involving turbines electronic systems. This study delves into the boundary layer a Reiner-Rivlin containing nanoparticles over stationary porous disk under slip conditions. The two-phase Buongiorno model employed, incorporating temperature-dependent diffusion coefficients for accuracy. To facilitate numerical simulations, transport equations converted an ordinary differential system comprising four unknowns. present work, highly reliable Keller-Box methodology adopted which agrees very well with MATLAB built-in program ‘bvp4c’. computed 2-D 3-D streamlines vividly capture scenario nanofluid. principle aim to investigate impact non-Newtonian behaviour on pattern, while also examining behavior temperature/concentration field nanoparticle working fluids. As thermophoretic increases, thermal thickens considerably, leading notable decrease rate disk. contrast, Brownian has only minimal transport. suction effect observed significantly boost disk’s rate, though at expanse increasing skin friction coefficients. introduces linear quadratic regression designed precisely predict both surface drag crucial factors engineering processes.

Language: Английский

Polarization force driven FHD flow over a permeable disc with geothermal viscosity DOI
Paras Ram, P. Murali Mohan Kumar

Modern Physics Letters B, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

In this paper, we investigate the Bödewadt boundary layer flow of ferrous oxide-based electrically non-conducting Nanofluid considering influence thermal radiation and viscous dissipation over a permeable disc with slip conditions. Here, viscosity is taken as function temperature depth. The equation energy incorporates radiative heat flux described by Rosseland approximation. Von Kármán Model alters constitutive nonlinear coupled partial differential equations motion, which include final system in PDE solved computationally using shooting approach MATLAB ode45, results are elucidated, through graphs tables. effects all above-considered physical entities including geothermal on velocity profile distribution examined. An exhaustive analysis above-investigated presented for record. It observed that considered conditions retards motion fluid causing decay net molecular movement diffusion.

Language: Английский

Citations

0
Horizontal Magnetic Field Influence on Fluid Flow Across a Variable Thickness Rotating Disk With Stretching and Melting Phenomenon DOI Open Access
A. Rauf, G. K. Ramesh, Syeda Tamkeen Fatima

et al.

Heat Transfer, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 12, 2025

ABSTRACT An incompressible steady‐state flow of viscous fluid subjected to a variable thickness rotating surface is examined. The laminar stream also affected by the disk stretching. A horizontal magnetic field applied along stabilize dynamics depending on its orientation and strength. implication effective in regulating thermal energy high‐temperature environments such as turbines nuclear reactors. features are characterized radiation melting heating. phenomenon useful phase‐change materials for efficient storage release like polymer molding or metal casting. Similarity transformations that account utilized dimensionalize equations obtain self‐similar solution. numerical scheme Runge‐Kutta‐Fehlberg (RKF‐45) built‐in package used solution normalized model. salient nature physical parameters illustrated momentum fields. data skin‐friction coefficient local Nusselt number at stretchable calculated. graphical results indicate temperature profiles strongly influenced under consideration. It can be deduced decreases resistance close surface, reducing drag, turn increasing velocity. latent absorbed during process reduces into gradients boundary layer flow. stabilizing effect radial direction observed angle varying from 0 30 degrees. seen dimensionless radius facilitates transport fluid, thus resulting reduction field.

Language: Английский

Citations

0
MHD hybrid nanofluid flow via varying porous space amid two stretchable rotating disks: A numerical approach DOI
Danish Ali, Hakeem Ullah, Mehreen Fiza

et al.

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

This study investigates the thermal performance enhancement achievable through utilization of hybrid nanofluids (HNF) in variable porous media subjected to Magnetohydrodynamic (MHD) effects a Casson fluid with two stretchable rotating disks. In present study, titanium dioxide ( Ti O 2 ) and silver Ag nanoparticles are suspended water, which served as base fluid. The governing equations derived using similarity transformations solved numerically bvp4c method achieving convergence an accuracy tolerance 10 − 6 . explores influence porosity parameter, stretching parameters, Lorentz force, parameter Biot’s number on velocity, pressure, temperature distributions. findings reveal that axial velocity nanofluid increases lower disk while declines increase factor. also highlights radial variations depend significantly opposing trends observed between upper Enhanced profiles noted increasing Biot numbers, whereas magnetic suppress tangential velocity. Moreover, results enhance heat transfer rates compared traditional nanofluids, up 23% improvement for specific settings. work practical applicability management systems, such cooling technologies aerospace energy systems. high conductivity Ag-TiO 2 makes it well-suited microelectronic devices, where efficient dissipation is critical. properties advantageous solar collectors geothermal maximizing efficiency effective transport essential. model’s improved flow behaviors could contribute engine cooling, lubricant fuel cell performance, especially under high-performance conditions automobile industries.

Language: Английский

Citations

0
Regression modeling of Bödewadt slip flow dynamics involving Reiner-Rivlin nanofluid based on a modified Buongiorno approach DOI

Tayyaba Ibrahim,

M. Mustafa, Junaid Ahmad Khan

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(10), P. 105042 - 105042

Published: Sept. 9, 2024

Abstract Regression models are useful in analyzing rotational flows as they enable accurate predictions of wall shear and heat transfer coefficient. In addition, Bödewadt flow is paramount importance fluid dynamics rotating systems such turbomachinery geophysical flows. Moreover, nanofluid’s enhanced properties can improve cooling efficiency applications involving turbines electronic systems. This study delves into the boundary layer a Reiner-Rivlin containing nanoparticles over stationary porous disk under slip conditions. The two-phase Buongiorno model employed, incorporating temperature-dependent diffusion coefficients for accuracy. To facilitate numerical simulations, transport equations converted an ordinary differential system comprising four unknowns. present work, highly reliable Keller-Box methodology adopted which agrees very well with MATLAB built-in program ‘bvp4c’. computed 2-D 3-D streamlines vividly capture scenario nanofluid. principle aim to investigate impact non-Newtonian behaviour on pattern, while also examining behavior temperature/concentration field nanoparticle working fluids. As thermophoretic increases, thermal thickens considerably, leading notable decrease rate disk. contrast, Brownian has only minimal transport. suction effect observed significantly boost disk’s rate, though at expanse increasing skin friction coefficients. introduces linear quadratic regression designed precisely predict both surface drag crucial factors engineering processes.

Language: Английский

Citations

0