Neural network-based analysis of thermal and mass transfer in nanofluid flow through a microchannel under pollutant concentration effect DOI
Ram Prakash Sharma,

Sarat C. Praharaj,

Bimal Kumar Barik

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(7)

Published: July 1, 2024

Language: Английский

Modeling of EMHD ternary hybrid Williamson nanofluid flow over a stretching sheet with temperature jump and magnetic induction DOI

Samina Nasr,

Saeed Dinarvand, Hossein Tamim

et al.

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: July 30, 2024

This study explores the heat transfer and fluid flow characteristics of an incompressible Williamson ternary hybrid nanofluid (WTHNF) over unsteady stretching surface, influenced by external electric magnetic fields, thermal radiation, a porous boundary. The WTHNF consists ZrO2, MoS2, GO nanoparticles suspended in water. By applying suitable transformations, fundamental equations are simplified solved numerically using Explicit Runge Kutta Method (ERKM). research investigates how various physical parameters, such as field strengths, plate permeability, velocity slip, temperature jump, impact velocity, temperature, skin friction coefficient, local Nusselt number. findings offer valuable insights into interactions between factors, which can inform design optimization advanced systems engineering. Additionally, this demonstrates potential to enhance rates, making it promising candidate for cooling systems, exchangers, energy storage devices. contributes developing more efficient sustainable technologies aerospace, biomedical engineering, renewable energy. Moreover, results provide foundation future on behavior complex fluids under influences. could lead creation improving efficiency performance across numerous applications.

Language: Английский

Citations

1

Computational role of the heat transfer phenomenon in the reactive dynamics of catalytic nanolubricant flow past a horizontal microchannel DOI Creative Commons

A. Roja,

Umair Khan,

K. Venkadeshwaran

et al.

Applied Rheology, Journal Year: 2024, Volume and Issue: 34(1)

Published: Jan. 1, 2024

Abstracta A numerical simulation is conducted to examine the impact of heat source on reactive dynamics catalytic nanolubricant flow through a horizontal microchannel with convective boundary conditions. The ZnO–SAE50 important as it reduces wear in components such shafts, gaskets, piston bores, and valve mechanisms, offering advantages not commonly observed other nanofluids. Suitable dimensionless variables are employed transform governing equations into set ordinary differential equations. proper conditions utilized obtain results. results acquired utilizing Runge–Kutta–Fehlberg fourth, fifth-order method, validated existing solutions. Enhancing improves thermal field, thereby boosting conductivity nanolubricant, facilitating improved absorption transmission within system. Homogeneous-heterogeneous intensities minimize concentration which lubrication efficiency, optimize transfer performance. Further, drag force decreases nanoparticle volume fraction rate enhanced increase parameter. This study first investigate reactions sources. significantly contribute transfer, lubrication, efficiency across various advanced technological applications like microelectronics, automotive, small-scale exchangers, aerospace, renewable energy.

Language: Английский

Citations

1

Magnetized nanofluid flowing across an inclined microchannel with heat source/sink and temperature jump: Corcione’s model aspects DOI
G. K. Ramesh,

J. K. Madhukesh,

Pradeep N. Hiremath

et al.

Modern Physics Letters B, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

This paper focuses on applying the Corcione model to microchannel. The is highly relevant because it provides accurate empirical relationships for forecasting dynamic viscosity and effective thermal conductivity of nanofluids. These qualities are crucial building improving different systems. presents discusses two simple correlating equations Hence aim this work use Corcione’s demonstrate fully developed laminar flow an electrically conducting nanoliquid through inclined energy equation takes into account physical impacts heat source/sink, temperature jamp, viscous dissipation. TiO 2 nanoparticles in water taken consideration enhanced cooling. Using numerical program Maple, Runge–Kutta–Fehlberg 4th–5th-order method utilized solve present research. Making graphs, all parameters shown, consequences profiles thoroughly examined. It noted that a higher angle enhances velocity profile whereas larger jump declines profile. Furthermore, often has greater velocities, temperatures, reduced surface drag forces than Tiwari–Das model.

Language: Английский

Citations

1

Chemically reactive non-Newtonian fluid flow through a vertical microchannel with activation energy impacts: A numerical investigation DOI Creative Commons

A. Roja,

Pudhari Srilatha, Umair Khan

et al.

Advances in Mechanical Engineering, Journal Year: 2024, Volume and Issue: 16(7)

Published: July 1, 2024

This work examines the second law analysis of an electrically conducting reactive third-grade fluid flow embedded with porous medium in a microchannel influence variable thermal conductivity, activation energy, viscous dissipation, joule heating, and radiative heat flux. A suitable non-dimensional is included into governing equations to transform them ensemble that are devoid dimensions. The acquired then tackled using Runge Kutta Felhberg 4th 5th order (RKF-45) approach conjunction shooting methodology. Through comparison current results, numerical results verified, which provides good agreement. From present outcomes, it established entropy generation supreme for heating constraint, Frank Kameneski, source ratio parameter material constraint. Bejan number boosts up larger values Kameneski constraint decreasing nature noticed increasing parameter, parameter. With magnetism, fluid’s velocity slows down because resistive force. similar impact channel on fluid, energy Frank-Kameniski parameters behavior permeability Further, cleared conductivity assumption plate leads significant under prediction irreversibility rate.

Language: Английский

Citations

0

Influence of inclined magnetic field and surface catalyzed reactions on a ternary hybrid nanofluid rotating flow with irreversibility analysis DOI
Muhammad Ramzan,

Hafeez Akhter,

Nazia Shahmir

et al.

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Abstract The goal of this research is to compute the numerical solution thermally stratified kerosene oil‐based ternary nanofluid flow with metallic nanoparticles including Nickel (Ni), Tantalum (Ta), and Zinc (Zn) influenced by an angled magnetic field between two parallel plates. upper plate assumed be permeable lower along horizontal axis. oxidation resistance great thermal chemical stability these make them ideal for usage in high temperature applications. This study also finds applications processing, microfluidic devices, targeted drug delivery. In energy equation, modified Fourier law non‐uniform heat source‐sink are considered. surface‐catalyzed reactions considered variable diffusion coefficients. addition, irreversibility analysis performed. model supported slip stratification conditions at surface. Tiwari Das utilized elucidate characteristics liquid flow, it involves applying appropriate transformations transmute into ordinary differential equations. These equations computed via bvp4c scheme. Graphs generated illustrate impact varied quantities on profiles. Additionally, surface drag coefficient transfer rate evaluated summarized. It worth mentioning that parameters have reduced concentration distributions respectively. entropy generation higher near impermeable when porosity parameter enhanced. noticed 6% volume fraction has a greater transmission than 3% nanoparticles. indicates improves rate.

Language: Английский

Citations

0

Neural network-based analysis of thermal and mass transfer in nanofluid flow through a microchannel under pollutant concentration effect DOI
Ram Prakash Sharma,

Sarat C. Praharaj,

Bimal Kumar Barik

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(7)

Published: July 1, 2024

Language: Английский

Citations

0