International Journal of Thermofluids, Год журнала: 2024, Номер unknown, С. 100940 - 100940
Опубликована: Окт. 1, 2024
Язык: Английский
International Journal of Thermofluids, Год журнала: 2025, Номер unknown, С. 101089 - 101089
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2
International Journal of Thermofluids, Год журнала: 2024, Номер 24, С. 100834 - 100834
Опубликована: Сен. 1, 2024
The current research explores the useful impact of artificial neural networks (ANN) back-propagation along Levenberg-Marquardt Method (ANN-BLMM), for findng influence dimensionless numbers on flow distribution pertaining magnetohydrodynamics (MHD) Jeffery–Hamel fluid amid two plates which are enclined at angles 2α. We have employed a numerical approach, ANN-BLMM to assess various aspects our data, including testing, training, validation, Mean Square Errors (MSE), performance, and fitting. methodology being used has been tested validated through comparison with other results obtain numerically, showing extreme level accuracy. Moreover, we confirmed findings error histograms regression tests. OHAM [36] data set. Furthermore, also explored Reynolds number (R) both pressure distribution, visually representing graphical analysis. discussed about nature variations velocity profiles within MHD Jefery–Hamel (MHDJHF), taking into account values Ha Re in convergent divergent channels. It was discovered that significant stabilizing an increase magnetic field intensity observed diverging converging channel geometries as Hartman rise, so does velocity. absolute is reduced 10-2 10-6.
Язык: Английский
Процитировано
8
International Journal of Thermofluids, Год журнала: 2024, Номер 23, С. 100824 - 100824
Опубликована: Авг. 1, 2024
The flow properties are essential to understanding the mechanism of working fluid and its effect on energy transmission. This study examines rheological Williamson over an inclined surface when affected by linear stratification convective surfaces in both thermal solutal fields. A system boundary value problems is formulated addressed employing similarity variables using a novel iterative method based operational matrix technique. benefit numerical demonstrated computing local truncation error. computation error for some values used validate solution. impact various parameters temperature, concentration, velocity profiles. results illustrate that buoyancy parameter, inclination angle significantly influence temperature concentration distribution profiles, whereas inertia coefficient has comparatively minor effect. analysis presents promising with potential further improvement future research.
Язык: Английский
Процитировано
5
International Journal of Thermofluids, Год журнала: 2024, Номер 24, С. 100847 - 100847
Опубликована: Сен. 3, 2024
This paper explores the magnetohydrodynamic (MHD) squeeze flow of an electrically conducting fluid between two infinite parallel disks with a perpendicular magnetic field. The study focuses on case where upper disk moves towards stationary lower disk. By employing similarity variables, we reduce MHD momentum and continuity equations into fourth-order linear boundary value problem, solved using modified operational matrix method. numerical approach is validated through L2-truncation error analysis, condition comparisons, by comparing results other methods like HAM, HPM, bvp4c that produce analytical solutions. Graphical analyses reveal effects number, Hartman parameter velocity profile. Results indicate number significantly affects due to Lorentz force, while influence profile differently in suction injection cases. solution demonstrates high accuracy convergence compared previous terms absolute error.
Язык: Английский
Процитировано
5
International Journal of Thermofluids, Год журнала: 2024, Номер 23, С. 100757 - 100757
Опубликована: Июль 3, 2024
The heat transmission in a rectangular porous fin affected by thermal non-equilibrium model with radiation and magnetic field influences is studied this study. A ferrofluid containing ferroparticles (Fe3O, CoFe2O4, Cu) mixture of 50 % water ethylene glycol coats the fin. Dimensionless form later achieved formulating governing equations for both solid phases. In order to get answer, Runge–Kutta–Fehlberg (RK-45) scheme used. Visual tabular representations are used investigate effect on Biot Rayleigh numbers as well convective parameters. results show that phase temperature profile inferior lower Hartmann (H) (Ra). disparity between phases decreases proportion Ra. Applications type device include exchangers, air conditioners, cooling towers.
Язык: Английский
Процитировано
3
International Journal of Thermofluids, Год журнала: 2025, Номер unknown, С. 101202 - 101202
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Год журнала: 2025, Номер unknown
Опубликована: Апрель 24, 2025
Efficient control over heat and mass transport in confined fluid systems is essential for applications biomedical devices, lubrication systems, industrial cooling technologies. However, conventional studies often overlook the combined impact of velocity slip, magnetic effects, nanoparticle concentration on squeeze flow, leading to gaps understanding mechanisms under dynamic compression. This research addresses this gap by investigating influence volume fraction, field intensity, Schmidt number, number Cu-water based Magnetohydrodynamic (MHD) unsteady squeezing flow using a numerical approach. The governing nonlinear differential equations are solved bvp4c solver MATLAB. Results indicate that skin friction coefficient decreases with increasing values reaching −3.3907 S = 1.0, aligning closely already published results. Similarly, Nusselt as increases, computed value 1.1195 at 1.0. application stronger reduces profile, while higher numbers suppresses diffusion. slip parameter has negligible an increase slightly elevates concentration. study provides quantitative insights into effects velocity, MHD, offering valuable implications microfluidic transport, high-performance
Язык: Английский
Процитировано
0
Multidisciplinary Science Journal, Год журнала: 2025, Номер 7(10), С. 2025366 - 2025366
Опубликована: Апрель 18, 2025
A Tomografia Fotoacústica (PAT) é uma modalidade de imagem médica descoberta recentemente que combina os benefícios imagens ópticas e ultrassônicas puras com fortes contrastes ópticos grande profundidade penetração. PAT emprega ondas induzidas por laser para a criação evitar radiações ionizantes, como raios X tomografias computadorizadas. As são facilmente aplicáveis em aplicações biomédicas, detecção câncer, neurociência, cardiologia oftalmologia. É essencial aumentar precisão clareza da imagem, reduzindo dispersão luz difração acústica, modo melhorar resolução espacial PAT. O Aprendizado Profundo (DL), um novo paradigma, tem atraído muito interesse devido à sua capacidade aprimorar médica. Da mesma forma, o DL comumente empregado em Imagens Fotoacústicas (PAI) abordar algumas das restrições PAI. Em fotoacústicas, algoritmos reconstrução tradicionais, atraso soma, foram extensivamente utilizados. Experimentos recentes mostraram redes neurais profundas podem reconstruir PAI partir dados fotoacústicos não processados. Este artigo fornece arquitetura CNN-BiLSTM baseada fuzzy modificada base rede neural aborda otimização enxame partículas modificadas (MFCB-PS). algoritmo baseado modificado auxilia no aprimoramento do processo fotoaquáticas. Os resultados simulação numérica revelam as estruturas sugeridas superam significativamente abordagens padrão. desempenho trabalho proposto analisado termos exatidão, precisão, recall pontuação F1 comparado metodologias existentes. Além disso, técnica sugerida supera padrão existentes relação ao consumo tempo, indicando seu potencial análise tempo real.
Процитировано
0
International Journal of Thermofluids, Год журнала: 2024, Номер unknown, С. 100940 - 100940
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
0