PARAMETRIC STUDY OF MHD MIXED CONVECTION IN WAVY CAVITIES WITH INCLINED CONDUCTING OBSTACLES

This study examines the influence of an inclined conducting obstacle on magneto hydrodynamic (MHD) natural and forced convection within a heated wavy cavity. A uniform magnetic field is applied in the horizontal direction, and the fluid flow is assumed to be steady, laminar, and incompressible. The rectangular cavity is designed with thermally insulated upper and lower walls in order to reduce heat losses. The left vertical wall is mechanically driven at a constant velocity and maintained at a uniform temperature of Ti(20˚C), while the right vertical wall is heated and kept at a higher temperature of Th=100∘C.A porous square conducting obstacle with a length of 10 cm is positioned at the center of the cavity and inclined at an angle relative to the horizontal axis, where ((where 15˚≤ ≥60˚). The cavity is filled with an electrically conducting fluid (seawater), whose Prandtl number varies between 2.08 and 7.83 depending on the temperature of the fluid. The governing two-dimensional partial differential equations describing the flow and heat transfer are solved numerically using the finite difference method with a central difference scheme, subject to appropriate boundary conditions. The numerical results are presented graphically, and a parametric study is conducted to investigate the effects of the inclination angle and other key flow parameters on the velocity and temperature distributions within the cavity. The findings of this study provide valuable insights for the design and optimization of magneto hydrodynamic propulsion and thermal management systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-07
DOI
https://doi.org/10.5281/zenodo.19448192
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PARAMETRIC STUDY OF MHD MIXED CONVECTION IN WAVY CAVITIES WITH INCLINED CONDUCTING OBSTACLES

Omariba Geofrey Ong'era2 Abraham Osogo Nyakebogo1*
Zenodo (CERN European Organization for Nuclear Research)
Nanofluid Flow and Heat Transfer
article

PARAMETRIC STUDY OF MHD MIXED CONVECTION IN WAVY CAVITIES WITH INCLINED CONDUCTING OBSTACLES

Omariba Geofrey Ong'era2 Abraham Osogo Nyakebogo1*
article en

Abstract

This study examines the influence of an inclined conducting obstacle on magneto hydrodynamic (MHD) natural and forced convection within a heated wavy cavity. A uniform magnetic field is applied in the horizontal direction, and the fluid flow is assumed to be steady, laminar, and incompressible. The rectangular cavity is designed with thermally insulated upper and lower walls in order to reduce heat losses. The left vertical wall is mechanically driven at a constant velocity and maintained at a uniform temperature of Ti(20˚C), while the right vertical wall is heated and kept at a higher temperature of Th=100∘C.A porous square conducting obstacle with a length of 10 cm is positioned at the center of the cavity and inclined at an angle relative to the horizontal axis, where ((where 15˚≤ ≥60˚). The cavity is filled with an electrically conducting fluid (seawater), whose Prandtl number varies between 2.08 and 7.83 depending on the temperature of the fluid. The governing two-dimensional partial differential equations describing the flow and heat transfer are solved numerically using the finite difference method with a central difference scheme, subject to appropriate boundary conditions. The numerical results are presented graphically, and a parametric study is conducted to investigate the effects of the inclination angle and other key flow parameters on the velocity and temperature distributions within the cavity. The findings of this study provide valuable insights for the design and optimization of magneto hydrodynamic propulsion and thermal management systems.

Zenodo (CERN European Organization for Nuclear Research)
Life below water
Openalex Percentile: Top 8%
Nanofluid Flow and Heat Transfer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.