Artificial neural network analysis of temperature-dependent properties of second-grade nanofluid flow over an exponentially curved Riga surface DOI
Aqeela Shaheen, Nadeem Abbas, Wasfı Shatanawi

и другие.

Modern Physics Letters B, Год журнала: 2025, Номер unknown

Опубликована: Май 31, 2025

We investigated the flow of chemically reactive non-Newtonian nanofluid over an exponentially stretching curved Riga sheet, addressing its significance in advanced heat and mass transfer processes relevant to engineering industrial applications. The aim is explore effects involving factors on velocity, temperature, concentration profiles, as well associated physical quantities such skin friction, Nusselt number, Sherwood number. research employs a hybrid methodology combining boundary layer approximation, dimensional transformation governing PDEs into ODEs, numerical solutions, Artificial Neural Networks (ANNs) for enhanced prediction analysis. results expose that key parameters significantly impact characteristics, with ANN providing accurate predictions validate outcomes. comprehensive approach emphasizes potential complementing methods scrutinizing complex fluid dynamic systems. A higher thermophoresis parameter increased thermal resistance, which restricted raised local temperature. velocity profile near surface due enhancing elastic forces motion. Symmetric error distributions low mean errors demonstrate strong accuracy while outliers present challenges scenarios.

Язык: Английский

Thermodynamic Study of Hybrid Nanofluid to Explore the Radial Effects of Water-Based Nanoparticles Between Two Narrowly Flat Disks DOI
Aisha Naeem, Zaheer Abbas, Muhammad Yousuf Rafiq

и другие.

Arabian Journal for Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

3

Peristaltic flow of carbon nanotube-based hybrid nanofluid in the annular region of eccentric cylinders with a modified thermal conductivity model DOI
Zaheer Abbas, Muhammad Yousuf Rafiq, Asad Fayyaz

и другие.

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2025, Номер 8(5)

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

3

The implication of thermal radiation in a mixed convection hybrid nanofluid flow past an inclined stretching/shrinking sheet with mass suction DOI

Nur Liyana Nazari,

Anuar Ishak, Umair Khan

и другие.

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101420 - 101420

Опубликована: Март 15, 2025

Язык: Английский

Процитировано

0

Dynamics of accelerating and decelerating flow of an electrically conducting Jeffrey fluid between two narrowly flat permeable disks DOI Creative Commons

Ayesha Naeem,

Zaheer Abbas, Muhammad Yousuf Rafiq

и другие.

Advances in Mechanical Engineering, Год журнала: 2025, Номер 17(4)

Опубликована: Апрель 1, 2025

The radial flow between two flat disks plays a crucial role in engineering and industrial applications due to its relevance lubrication systems, cooling technologies, fluid transport mechanisms. This study investigates the laminar of an incompressible Jeffrey permeable under influence magnetic field. exact solutions for both accelerating decelerating flows are derived using Jacobi elliptic function first kind. effects key physical parameters on velocity profiles analyzed graphically, while torque variations presented tabular form. Additionally, streamline patterns 2D graphs exhibit consistent trends across parameter variations, reinforcing accuracy findings. Results indicate that increases with stronger field but decreases all other parameters. In contrast, rises increasing porosity declines remaining factors. Torque analysis reveals increase enhances disks, whereas higher Darcy number upper disk reduces it lower disk. Streamline is conducted illustrate behavior varying conditions. results confirm parabolic profile, maximum at central region minimum surfaces.

Язык: Английский

Процитировано

0

Thermal radiation effects on Bingham–Papanastasiou tetra-hybrid nanofluid dynamics in a porous diseased artery with electro-osmotic flow and permeability DOI
Syed M. Hussain, T. Nazar, M.S. Shabbir

и другие.

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101575 - 101575

Опубликована: Май 5, 2025

Язык: Английский

Процитировано

0

Analysis of heat transfer and flow properties of penta hybrid nanofluid in magnetized squeezing flow of Boger-micropolar DOI

Fateme Nadalinia Chari,

Mehdi Mahboobtosi,

Davood Domiri Ganji

и другие.

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(3), С. 101633 - 101633

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0

Artificial neural network analysis of temperature-dependent properties of second-grade nanofluid flow over an exponentially curved Riga surface DOI
Aqeela Shaheen, Nadeem Abbas, Wasfı Shatanawi

и другие.

Modern Physics Letters B, Год журнала: 2025, Номер unknown

Опубликована: Май 31, 2025

We investigated the flow of chemically reactive non-Newtonian nanofluid over an exponentially stretching curved Riga sheet, addressing its significance in advanced heat and mass transfer processes relevant to engineering industrial applications. The aim is explore effects involving factors on velocity, temperature, concentration profiles, as well associated physical quantities such skin friction, Nusselt number, Sherwood number. research employs a hybrid methodology combining boundary layer approximation, dimensional transformation governing PDEs into ODEs, numerical solutions, Artificial Neural Networks (ANNs) for enhanced prediction analysis. results expose that key parameters significantly impact characteristics, with ANN providing accurate predictions validate outcomes. comprehensive approach emphasizes potential complementing methods scrutinizing complex fluid dynamic systems. A higher thermophoresis parameter increased thermal resistance, which restricted raised local temperature. velocity profile near surface due enhancing elastic forces motion. Symmetric error distributions low mean errors demonstrate strong accuracy while outliers present challenges scenarios.

Язык: Английский

Процитировано

0