Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер unknown
Опубликована: Сен. 17, 2024
Язык: Английский
Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер unknown
Опубликована: Сен. 17, 2024
Язык: Английский
Case Studies in Thermal Engineering, Год журнала: 2023, Номер 53, С. 103926 - 103926
Опубликована: Дек. 19, 2023
Язык: Английский
Процитировано
25International 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
16Case 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
12Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126100 - 126100
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
2Journal of Molecular Liquids, Год журнала: 2024, Номер 401, С. 124728 - 124728
Опубликована: Апрель 15, 2024
Язык: Английский
Процитировано
7Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер 165, С. 105702 - 105702
Опубликована: Авг. 24, 2024
Язык: Английский
Процитировано
5Case 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
4Diamond and Related Materials, Год журнала: 2024, Номер 145, С. 111067 - 111067
Опубликована: Апрель 5, 2024
Язык: Английский
Процитировано
4Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105947 - 105947
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Case 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
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