MHD in Porous Media DOI

Advances in chemical and materials engineering book series, Год журнала: 2024, Номер unknown, С. 1 - 50

Опубликована: Окт. 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.

Язык: 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

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер 67, С. 105822 - 105822

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

3

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

и другие.

International Journal of Heat and Fluid Flow, Год журнала: 2024, Номер 112, С. 109719 - 109719

Опубликована: Дек. 13, 2024

Язык: Английский

Процитировано

7

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

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105871 - 105871

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Alexandria Engineering Journal, Год журнала: 2025, Номер 124, С. 435 - 445

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

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

и другие.

International Communications in Heat and Mass Transfer, Год журнала: 2024, Номер 159, С. 108320 - 108320

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

3

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

и другие.

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Год журнала: 2024, Номер unknown

Опубликована: Дек. 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.

Язык: Английский

Процитировано

3

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

и другие.

International Journal of Thermofluids, Год журнала: 2024, Номер unknown, С. 100970 - 100970

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2

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

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер unknown, С. 105636 - 105636

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

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, Год журнала: 2024, Номер 611, С. 172637 - 172637

Опубликована: Ноя. 2, 2024

Язык: Английский

Процитировано

1

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

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 63, С. 105312 - 105312

Опубликована: Окт. 22, 2024

Язык: Английский

Процитировано

0