Effect of magnetic field excitation and sinusoidal curved cavity coupling on heat transfer enhancement and entropy generation of nanofluids DOI
Zhen Tian,

Linfei Yue,

Cong Qi

и другие.

Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер unknown

Опубликована: Сен. 17, 2024

Язык: Английский

Numerical analysis of heat and mass transfer of MHD natural convection flow in a cavity with effects of source and sink DOI Creative Commons
Shafee Ahmad, Bai Mbye Cham, Dong Liu

и другие.

Case Studies in Thermal Engineering, Год журнала: 2023, Номер 53, С. 103926 - 103926

Опубликована: Дек. 19, 2023

Язык: Английский

Процитировано

25

Unveiling the Dynamics of Entropy Generation in Enclosures: A Systematic Review DOI Creative Commons
Goutam Saha,

Ahmed A.Y. Al-Waaly,

Maruf Md. Ikram

и другие.

International Journal of Thermofluids, Год журнала: 2024, Номер 21, С. 100568 - 100568

Опубликована: Янв. 9, 2024

This extensive review aims to provide a thorough understanding of entropy generation (Egen) in confined conduits, or enclosures, by examining vast array peer-reviewed research. The covers various studies on Egen enclosures with different geometric configurations and highlights the significant effects thermo-physical dynamics, such as temperature gradient, viscous dissipation, frictional drag, magnetic field strength, characterization. broad range that investigate diverse types fluids, including air, water, nanofluids. Furthermore, also includes enclosure structures, I, L, C, U, semicircular, triangular, square, rectangular, rhombic, trapezoidal, polygonal, channel types, well wavy wall configurations. Notably, encompasses both 2D 3D cases present complete comprehension conduits. In addition, carefully evaluates validity methods utilized numerical investigations, incorporating mesh sizes A examination literature demonstrates obstacles, single multiple rotating cylinders, exhibit noticeable increase Egen. Also, use nanofluids significantly increases These findings have important practical implications analysis thermofluid systems, but not limited heat exchangers, chip cooling, food storage, solar ponds, nuclear reactor systems. Based comprehensive conducted this study, several future research directions been proposed for emerging enclosures. study explores intricate mechanisms potential avenues further investigation area. insights will contribute advancement knowledge base applications

Язык: Английский

Процитировано

16

A case study on entropy generation in MHD nanofluid flow in L- shaped triangular corrugated permeable enclosure DOI Creative Commons
Noor Zeb Khan, S. Bilal, Lioua Kolsi

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 59, С. 104487 - 104487

Опубликована: Май 10, 2024

Enclosure with irregular boundaries by providing surface corrugations is considered an efficient strategy to elevate the heat transfer mechanism in laser technology, cooling of electronic instrument, photonic systems material processing, magnetic resonance, and automobile industry are few mention. In view such mesmerizing utilization present work articulated considering L-shaped corrugated enclosure saturated water copper (Cu) nanoparticles included. The physical impacts a horizontally oriented field permeable medium accounted along measurement entropy. Mathematical modelling problem attained dimensionless version through set similar variables. Computational experiments conducted application commercial software (COMSOL) based on finite element approach. A grid independence comparison tests also ensure credibility simulations. Impact parameters revealed sketches. Quantities interest, including local average Nusselt numbers, Bejan number, total entropy, evaluated for flat correlated surfaces. Induction base fluids tends reduce entropy generation up 12.45 %. Growth NuAvg (3.08 % approx.) increasing frequency imposed triangular waved corrugation.

Язык: Английский

Процитировано

12

Effects of the curved fins on the entropy analysis and hydrothermal variations of Buoyancy-driven MWCNT-Fe3O4-H2O hybrid nanofluid flow within an annular enclosure DOI
Nilankush Acharya

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126100 - 126100

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

2

Heat transfer augmentation and entropy generation minimization by employing synergistic aspects of hybrid (Fe3O4 + MWNTs) nanoliquid in star shaped enclosure with thermally conductive cylinder and inclined magnetic field aspects DOI

S. Bilal,

Noor Zeb Khan, Kejia Pan

и другие.

Journal of Molecular Liquids, Год журнала: 2024, Номер 401, С. 124728 - 124728

Опубликована: Апрель 15, 2024

Язык: Английский

Процитировано

7

Buoyancy-driven nano-suspension subject to interstitial solid/nanofluid heat transfer coefficient: Role of local thermal non-equilibrium (LTNE) DOI

Marouan Kouki,

Amjad Ali Pasha, M.K. Nayak

и другие.

Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер 165, С. 105702 - 105702

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

5

Convection flow of nano-encapsulated phase change material in wavy chamber with double sliding walls, flame-shaped heating source, and magnetic force DOI Creative Commons
Aissa Abderrahmane, Naef A.A. Qasem, Abdeldjalil Belazreg

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 56, С. 104250 - 104250

Опубликована: Март 15, 2024

This article aims to improve the convection flow within a two-dimensional chamber by utilizing nano-encapsulated phase change material (NEPCM). The center contains flame-shaped heating source, and bottom wall is wavy. Forced occurs due motion of chamber's side walls, while natural arises from thermal gradient across walls. Galerkin-finite element GFEM approach was employed analyze system's governing equations. study investigates impact following factors on heat transfer: velocity (Re = 10–1000), movement directions (both walls moving in positive direction, both negative one other positive), intensity magnetic field (Ha 0–100), cavity porosity (Da 10−5 – 10−2). results demonstrate that increasing Re Da improves average Nusselt number (NuAvg). Conversely, raising opposite direction reduces NuAvg. At 1000, (10−2 instead 10−5) leads 139% increase NuAvg, decreasing Ha same NuAvg 11.5% 640%, respectively.

Язык: Английский

Процитировано

4

Thermal entropy generation and exergy efficiency analysis of rGO/water nanofluid in a tube under turbulent regime using experimental and fully connected neural network DOI
L. Syam Sundar, Kotturu V.V. Chandra Mouli, Hiren Mewada

и другие.

Diamond and Related Materials, Год журнала: 2024, Номер 145, С. 111067 - 111067

Опубликована: Апрель 5, 2024

Язык: Английский

Процитировано

4

Numerical Analysis of Entropy Generation and Heat Transfer of Ternary Nanofluids under a Periodic Magnetic Field in a Square Enclosure DOI Creative Commons
Seyyed Masoud Seyyedi, M. Hashemi‐Tilehnoee, Elena Palomo del Barrio

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105947 - 105947

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Entropy generation and heatline visualization of magnetized thermal convection in an irregular enclosure filled with nanofluid and subject to non-uniform heating: FEM-machine learning hybrid approach DOI Creative Commons
Hasan Shahzad, Zhiyong Li, Tingting Tang

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 60, С. 104742 - 104742

Опубликована: Июль 6, 2024

This investigation's primary objective is to analyze the fluid dynamics and heat transfer enhancement in an irregular enclosure. Several physical phenomena such as Alumina-water nanofluids, magnetic field, non-uniform heating amplitude of are taken into account. A thorough investigation using machine learning algorithms (MLAs) computational (CFD) carried out. Initially, for CFD phase coupled non-linear dimensionless governing equations considered problem solved numerically by adapting a Finite Element method (FEM) appropriate boundary conditions. The analysis considers range parameters, Hartmann number (0–20), nanoparticle volume friction (0–0.04), Ryleigh (103-105), offset temperature (0.1–1), frequency (1-10) (0.1–1). numerical results explicated form streamlines, isotherms, heatlines structures. impact these factors on entropy generation also explored. In addition, three popular MLAs, Random Forest (RF), Artificial Neural Network (ANN) Support Vector Machine (SVM) were used save costs. finding explore has decreasing trend total production rate. decreases up 42.02 % Hartman nanoparticles it 12.61 %. However, opposite effect irreversibility factor. Also, compared other ANN model demonstrates more accurate predictions. propose novel concept enhancing performance cooling systems optimizing energy utilization across diverse technical domain.

Язык: Английский

Процитировано

1