Zahoor Iqbal
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Zahoor Iqbal has a total of 116 co-authors. Here are the top co-authors by number of shared publications:
Masood Khan
Quaid-I-Azam University
12 shared publications- Awais Ahmed
Department of Mathematics, National University of Modern Languages, Islamabad, Pakistan
7 shared publications Awais Ahmed
Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan
6 shared publicationsSharifah E. Alhazmi
6 shared publicationsMaryam Ahmed Alyami
5 shared publicationsN. Ameer Ahammad
Department of Mathematics, Faculty of Science, University of Tabuk, P. O. Box 741, Tabuk 71491, Saudi Arabia
5 shared publications
Latest Publications
- 10 August 2025
- Published by Springer Nature in Journal of Thermal Analysis and Calorimetry
- Vol. 150 (17) , 13325-13345
Neural network framework for thermal performance of cross hybrid bio-nanofluid flow over a permeable cylinder subject to variable thermal conductivity
- 10 August 2025
- Published by Springer Nature in Journal of Thermal Analysis and Calorimetry
- Vol. 150 (17) , 13325-13345
Neural network framework for thermal performance of cross hybrid bio-nanofluid flow over a permeable cylinder subject to variable thermal conductivity
- Open Access
- 25 February 2025
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 69
Artificial neural networks analysis of entropy generation in magnetic-micropolar nanofluid flow equipped with porous media and Darcy-Forchheimer law
- 25 February 2025
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 69
Open AccessArtificial neural networks analysis of entropy generation in magnetic-micropolar nanofluid flow equipped with porous media and Darcy-Forchheimer law
- Open Access
- 10 February 2025
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 68
Numerical simulations of thermal convection in unsteady Darcy Forchheimer flow of radiative A g − G O / K O hybrid nanofluid over a slipping spinning porous disk
- 10 February 2025
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 68
Open AccessNumerical simulations of thermal convection in unsteady Darcy Forchheimer flow of radiative A g − G O / K O hybrid nanofluid over a slipping spinning porous disk
- Open Access
- 10 September 2024
- Published by Oxford University Press (OUP) in Journal of Computational Design and Engineering
- Vol. 12 (3) , 130-144
Computational modeling and simulations to study the thermal enhancement in nanofluid flow in undulating wavy cavity of a cylinder: Finite element analysis
The goal of this present work is to produce a computational model to discover the Cu – water nanofluid flow patterns and heat transfer features through a wavy chamber via a different cross-section cylinder. A finite element method based on the Galerkin weighted residual technique solves the nonlinear governing equations for the current computational model. We have conducted a parametric exploration to investigate the influence of Rayleigh number (103 ≤ Ra ≤ 106), several angles of an elliptical cylinder (0° ≤ θ ≤ 90°), aspect ratios (1 ≤ AR ≤ 3), and varied nanofluid volume fractions (0 ≤ φ ≤ 0.1). The graphical representation of the numerical results, such as streamlines, isotherm contours, the angle of elliptical cylinders, and the average Nusselt number as it relates to the rate of heat transfer. The present research and a prior publication agree strongly. The results show that the heat transfer rate increases with the angle of orientation and aspect ratio for each value. The vertical direction of an elliptical cylinder significantly enhanced the rate of heat transfer. The result indicates that for mutually pure water and nanoparticles, the maximum heat transmission rate appears at θ = 90°, AR = 3.0, λ = 5, φ = 4%, and Ra = 106. The undulation effectiveness reaches its highest at an undulation number of 5.
- 10 September 2024
- Published by Oxford University Press (OUP) in Journal of Computational Design and Engineering
- Vol. 12 (3) , 130-144
Open AccessComputational modeling and simulations to study the thermal enhancement in nanofluid flow in undulating wavy cavity of a cylinder: Finite element analysis
The goal of this present work is to produce a computational model to discover the Cu – water nanofluid flow patterns and heat transfer features through a wavy chamber via a different cross-section cylinder. A finite element method based on the Galerkin weighted residual technique solves the nonlinear governing equations for the current computational model. We have conducted a parametric exploration to investigate the influence of Rayleigh number (103 ≤ Ra ≤ 106), several angles of an elliptical cylinder (0° ≤ θ ≤ 90°), aspect ratios (1 ≤ AR ≤ 3), and varied nanofluid volume fractions (0 ≤ φ ≤ 0.1). The graphical representation of the numerical results, such as streamlines, isotherm contours, the angle of elliptical cylinders, and the average Nusselt number as it relates to the rate of heat transfer. The present research and a prior publication agree strongly. The results show that the heat transfer rate increases with the angle of orientation and aspect ratio for each value. The vertical direction of an elliptical cylinder significantly enhanced the rate of heat transfer. The result indicates that for mutually pure water and nanoparticles, the maximum heat transmission rate appears at θ = 90°, AR = 3.0, λ = 5, φ = 4%, and Ra = 106. The undulation effectiveness reaches its highest at an undulation number of 5.
- 17 August 2024
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 39 (14)
Influence of baffle size and position on natural convective heat transport in a skewed cavity by finite element method
This paper explores natural convection heat removal performance in accordance with the variation of the baffle size and position in a skewed cavity. In this skewed cavity, the top and bottom walls are considered to be adiabatic. The inclined left wall is deliberated at a sinusoidal cool temperature, and the other wall is treated at a hot temperature. The baffle is connected to the hot temperature wall. The dimensionless governing equations will be solved by the Galerkin weighted residual (GWR) technique of the finite element method. The influence of Rayleigh number ([ ]), baffle sizes ([ ], 0.35, and 0.50), and baffle positions ([ ], 0.50, and 0.75) in a fluid with [ ] were investigated in this research. The comparisons between the outcome of this work and previously published work in a literature review by Elatar et al. 8 have been produced to examine the reliability and consistency of the data. The results of the simulation are represented by streamlines, isotherms, local and mean Nusselt numbers, mean fluid temperature, and baffle effectiveness. The results demonstrate that as the Rayleigh number grows, the heat removal performance rate continues to develop in this study. Also, the results revealed that the heat transport rate decreased when gradually raising the baffle length. Baffles can significantly improve the mixing of fluid inside the enclosure, which can mean reductions in reaction times and operating costs, along with increases in heat exchange and efficiency.
- 17 August 2024
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 39 (14)
Influence of baffle size and position on natural convective heat transport in a skewed cavity by finite element method
This paper explores natural convection heat removal performance in accordance with the variation of the baffle size and position in a skewed cavity. In this skewed cavity, the top and bottom walls are considered to be adiabatic. The inclined left wall is deliberated at a sinusoidal cool temperature, and the other wall is treated at a hot temperature. The baffle is connected to the hot temperature wall. The dimensionless governing equations will be solved by the Galerkin weighted residual (GWR) technique of the finite element method. The influence of Rayleigh number ([ ]), baffle sizes ([ ], 0.35, and 0.50), and baffle positions ([ ], 0.50, and 0.75) in a fluid with [ ] were investigated in this research. The comparisons between the outcome of this work and previously published work in a literature review by Elatar et al. 8 have been produced to examine the reliability and consistency of the data. The results of the simulation are represented by streamlines, isotherms, local and mean Nusselt numbers, mean fluid temperature, and baffle effectiveness. The results demonstrate that as the Rayleigh number grows, the heat removal performance rate continues to develop in this study. Also, the results revealed that the heat transport rate decreased when gradually raising the baffle length. Baffles can significantly improve the mixing of fluid inside the enclosure, which can mean reductions in reaction times and operating costs, along with increases in heat exchange and efficiency.
- Open Access
- 15 August 2024
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 61
Streamlines and neural intelligent scheme for thermal transport to infinite shear rate for ternary hybrid nanofluid subject to homogeneous-heterogeneous reactions
- 15 August 2024
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 61
Open AccessStreamlines and neural intelligent scheme for thermal transport to infinite shear rate for ternary hybrid nanofluid subject to homogeneous-heterogeneous reactions
- 28 June 2024
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 39 (10)
Neural intelligent approach for heat transfer applications of trihybrid cross bio-nanofluid over wedge geometry
Significance: Heat transport in the blood within a wedge-shaped artery is significant in biomedical engineering field like develop therapeutic strategies, drug delivery to specific regions of the artery, vicinity of narrowed or blocked arteries and catheter-based treatments such as angioplasty or thermal ablation. Motive: This study investigates the heat transport analysis of trihybrid nanofluid (blood) over wedge-shaped artery with mathematical model of Cross fluid. This study incorporates three nanoparticles, graphene oxide (GO), titanium dioxide (TiO2), and aluminum oxide (Al2O3) in base fluid blood. The wedge-shaped artery is chosen due to its relevance to biomedical applications and it reflects the nature of blood flow in real vascular structures. Heat transport is scrutinized through thermal radiations and flow rate is inspected through inclined magnetic field. Methodology: The bvp4c and Levenberg–Marquardt Neural Network (LM-NN) supervised neural scheme is used to predict the numerical outcome of this study. Findings: Incorporation of nanoparticles made rapid heat transport of blood in wedge-shaped artery. Velocity of blood is decreased with high Weissenberg number and magnetic force. The temperature of a blood in a wedge-shaped artery increases with positive non-uniform heat source/sink parameters and decreases with negative non-uniform heat source/sink parameters.
- 28 June 2024
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 39 (10)
Neural intelligent approach for heat transfer applications of trihybrid cross bio-nanofluid over wedge geometry
Significance: Heat transport in the blood within a wedge-shaped artery is significant in biomedical engineering field like develop therapeutic strategies, drug delivery to specific regions of the artery, vicinity of narrowed or blocked arteries and catheter-based treatments such as angioplasty or thermal ablation. Motive: This study investigates the heat transport analysis of trihybrid nanofluid (blood) over wedge-shaped artery with mathematical model of Cross fluid. This study incorporates three nanoparticles, graphene oxide (GO), titanium dioxide (TiO2), and aluminum oxide (Al2O3) in base fluid blood. The wedge-shaped artery is chosen due to its relevance to biomedical applications and it reflects the nature of blood flow in real vascular structures. Heat transport is scrutinized through thermal radiations and flow rate is inspected through inclined magnetic field. Methodology: The bvp4c and Levenberg–Marquardt Neural Network (LM-NN) supervised neural scheme is used to predict the numerical outcome of this study. Findings: Incorporation of nanoparticles made rapid heat transport of blood in wedge-shaped artery. Velocity of blood is decreased with high Weissenberg number and magnetic force. The temperature of a blood in a wedge-shaped artery increases with positive non-uniform heat source/sink parameters and decreases with negative non-uniform heat source/sink parameters.
- Open Access
- 2 April 2024
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 59
Heat transfer in hybrid nanofluid flow between two coaxial cylinders
- 2 April 2024
- Published by Elsevier in Case Studies in Thermal Engineering
- Vol. 59
Open AccessHeat transfer in hybrid nanofluid flow between two coaxial cylinders