MHD in Porous Media DOI

Advances in chemical and materials engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 50

Published: Oct. 25, 2024

Magnetohydrodynamics (MHD) studies electrically conducting fluids' magnetic properties and behavior. It is also known as magneto-fluid dynamics or hydromagnetics. Plasmas, liquid metals, salt water, electrolytes are examples of magneto-fluids. The term “magnetohydrodynamics” derived from magneto-, meaning field; hydro-, water; dynamics, motion. Hannes Alfvén pioneered the field MHD, for which he was awarded Nobel Prize in Physics 1970. basic idea behind MHD that fields can induce currents a moving conductive fluid polarizes fluid, changing field. described by set equations combine Navier-Stokes Maxwell's electromagnetism. main objective this chapter to study magnetohydrodynamic flow porous medium using numerical analytical methods.

Language: Английский

Computational study of conjugate heat transfer and entropy generation of hybrid nano-particles in an enclosure with solid block DOI Creative Commons

Shahid Ullah,

Ghulam Saddiq,

Afraz Hussain Majeed

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: 67, P. 105822 - 105822

Published: Jan. 31, 2025

Language: Английский

Citations

1

A study of thermal conductivity enhancement in magnetic blood flow: Applications of medical engineering DOI
M.S. Alqurashi, Hina Gul, Irshad Ahmad

et al.

International Journal of Heat and Fluid Flow, Journal Year: 2024, Volume and Issue: 112, P. 109719 - 109719

Published: Dec. 13, 2024

Language: Английский

Citations

4

Viscous dissipation and variable density impact on heat-mass transmission in magneto Ree-Eyring nanofluid across stretched sheet with multiple slips DOI Creative Commons

Irfan Haider,

Nawishta Jabeen, Ahmad Hussain

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105871 - 105871

Published: Feb. 1, 2025

Language: Английский

Citations

0

Intelligent framework for dual solutions of copper oxide nanoparticles suspension in thermally varied fluid reservoirs using the Koo–Kleinstreuer–Li (KKL) Model DOI
Muhammad Zeb, Muhammad Awais,

Asif Waheed

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 124, P. 435 - 445

Published: April 8, 2025

Language: Английский

Citations

0

Intelligent Back-propagated Neural Networks to Study Nonlinear Heat Transfer in Tangent-Hyperbolic Fluids DOI Creative Commons
Muhammad Asif Zahoor Raja, Huma Tayyab, Abdul Malik

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105636 - 105636

Published: Dec. 1, 2024

Language: Английский

Citations

2

Radiative effects on 2D unsteady MHD Al2O3‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python DOI

Poorya Majidi,

Amirali Shateri, Payam Jalili

et al.

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Abstract This research uses Python programming to explore the influence of magnetic field strength on a two‐dimensional squeezing nanofluid flow confined between two parallel plates. The primary objective is examine an aluminum oxide nanofluid's velocity and heat transfer characteristics which are governed by dimensionless parameters such as Prandtl number friction coefficient. non‐dimensionalized differential equations solved employing analytical techniques: Akbari‐Ganji Method Homotopy Perturbation Method, both implemented through programming. Using solve these represents novel approach that offers accurate efficient results. study's findings reveal increases, temperature thermal properties also increase while concentration decreases. Additionally, Nusselt experiences decline. implementation in this showcases versatility language solving complex mathematical problems, particularly fluid dynamics. Python's ability provide solutions efficiently enhances its potential for further applications advancements area.

Language: Английский

Citations

2

Time-dependent three-dimensional conductive heat transfer of flat plate and vertical cylinder with different thermal conductivity and heat source DOI Creative Commons

Hassan Roshani,

Bahram Jalili, Payam Jalili

et al.

International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: unknown, P. 100970 - 100970

Published: Nov. 1, 2024

Language: Английский

Citations

1

Heuristic based physics informed neural network (H-PINN) approach to analyze nanotribology for viscous flow of ethylene glycol and water under magnetic effects among parallel sheets DOI

Muhammad Naeem Aslam,

Nadeem Shaukat, Arshad Riaz

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 159, P. 108320 - 108320

Published: Nov. 14, 2024

Language: Английский

Citations

0

Impact of collector aspect ratio on the energy and exergy efficiency of a louvered fin solar air heater DOI Creative Commons
Subhash Chand, Ashwini Kumar, Mayank Srivastava

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105312 - 105312

Published: Oct. 22, 2024

Language: Английский

Citations

0

Magnetic field effects on the thermal performance of Fe3O4 nanofluids in a forced convection system DOI
Mohammadmahdi Kamyabi, Seyed Mohammad Sadegh Hosseini

Journal of Magnetism and Magnetic Materials, Journal Year: 2024, Volume and Issue: 611, P. 172637 - 172637

Published: Nov. 2, 2024

Language: Английский

Citations

0