Artificial neural network-based computational heat transfer analysis of Carreau fluid over a rotating cone DOI
Fahim Ullah, M. Bilal Ashraf

Physics of Fluids, Год журнала: 2024, Номер 36(11)

Опубликована: Ноя. 1, 2024

Heat transport in a dynamically rotating cone immersed Carreau fluid is the subject of this investigation. The non-Newtonian, admired for its characteristics, and extensively utilized numerous industrial domains. study investigates interplay between buoyancy centrifugal forces within an analytical framework. employs sophisticated mathematical methods, including similarity transformations, to convert governing partial differential equations into nonlinear ordinary equations. These are then solved using shooting method, numerical technique that solves boundary value problem by iteratively adjusting initial conditions until satisfied. We employ artificial neural network algorithm with backpropagation Levenberg–Marquardt scheme analyze heat transfer mechanism quantitatively. In conjunction mechanism, we will use simulation algorithm, namely scheme. results prove enormous influence centrifugation on complex dynamics exchange processes. Some critical parameters govern convective process Nusselt number, Reynolds Grashof rotational velocities. research validates requirement considering non-Newtonian complexity viscous dissipation when investigating flow, facilitating more accurate expectations improved efficiency various

Язык: Английский

Numerical Heat Transfer Analysis of Carreau Nanofluid Flow over Curved Stretched Surface with Nonlinear Effects and Viscous Dissipation. DOI Creative Commons
Fahim Ullah, Muhammad Ashraf

International Journal of Thermofluids, Год журнала: 2024, Номер unknown, С. 100914 - 100914

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4
An analytical flow model for multistage fractured horizontal well with elastic outer reservoir boundary DOI
Wenchao Liu,

Jiandong Xing,

Lei Huang

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(3)

Опубликована: Март 1, 2025

Currently, the analytical flow models for multistage fractured horizontal well that describe seepage laws in unconventional tight oil and gas reservoirs mostly assume traditional idealized reservoir outer boundaries, which are closed, constant pressure, or infinite. However, these three types of boundaries cannot adapt to some actual situations engineering, boundary can show an elastic feature. To address this issue, based on engineering background shale development, conception condition is introduced first time, a novel physical model its mathematical wells with established. Through defining pseudo linearized, then, semi-analytical solution obtained by using Laplace transform. Finally, was applied analyze production data from parent reservoirs, suffer energy replenishment through fluid injection into infill wells. The results typical curve fitting improved our model. It largely increases accuracy forecast. Moreover, cover all boundaries. research greatly improves applicability All all, it provides important theoretical foundation mechanics dynamic analysis testing technologies development fields.

Язык: Английский

Процитировано

0
MHD effects of oriented magnetic field on radiative Casson nanofluid flow over a stretchable surface DOI Creative Commons
Bharati M. Shettar, G. K. Ramesh, Pradeep N. Hiremath

и другие.

Deleted Journal, Год журнала: 2025, Номер 2(3)

Опубликована: Май 27, 2025

In various areas such as geophysics, petroleum engineering, agriculture, metal casting, working, and cooling of atomic reactors, magnetohydrodynamic (MHD) forces on fluid flow over a stretched surface play crucial role. This study investigates heat transfer MHD phenomena in the Casson with ternary nanoparticles under influence an aligned magnetic field slip effect. The energy equation takes into account radiation, convection, uniform source/sink heat. Additionally, relationship between velocity is investigated. Through appropriate transformations, governing equations their associated boundary conditions are transformed to set ordinary differential equations, which solved numerically. Key quantities temperature, friction drag, Nusselt number, results show that induces resistive force slows down motion fluid. It also found increases radiation parameter Biot number lead significant transfer. provides enhanced understanding thermal dynamics relevance complex industrial other engineering scenarios.

Язык: Английский

Процитировано

0
Artificial neural network-based computational heat transfer analysis of Carreau fluid over a rotating cone DOI
Fahim Ullah, M. Bilal Ashraf

Physics of Fluids, Год журнала: 2024, Номер 36(11)

Опубликована: Ноя. 1, 2024

Heat transport in a dynamically rotating cone immersed Carreau fluid is the subject of this investigation. The non-Newtonian, admired for its characteristics, and extensively utilized numerous industrial domains. study investigates interplay between buoyancy centrifugal forces within an analytical framework. employs sophisticated mathematical methods, including similarity transformations, to convert governing partial differential equations into nonlinear ordinary equations. These are then solved using shooting method, numerical technique that solves boundary value problem by iteratively adjusting initial conditions until satisfied. We employ artificial neural network algorithm with backpropagation Levenberg–Marquardt scheme analyze heat transfer mechanism quantitatively. In conjunction mechanism, we will use simulation algorithm, namely scheme. results prove enormous influence centrifugation on complex dynamics exchange processes. Some critical parameters govern convective process Nusselt number, Reynolds Grashof rotational velocities. research validates requirement considering non-Newtonian complexity viscous dissipation when investigating flow, facilitating more accurate expectations improved efficiency various

Язык: Английский

Процитировано

2