Stability, thermophysical properties, forced convective heat transfer, entropy minimization and exergy performance of a novel hybrid nanofluid: Experimental study

Journal of Molecular Liquids, Год журнала: 2024, Номер 410, С. 125571 - 125571

Опубликована: Июль 18, 2024

Язык: Английский

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The numerical study on the MHD natural convection trend of square/circle corrugated porous media

Journal of Engineering Research, Год журнала: 2024, Номер unknown

Опубликована: Май 1, 2024

In this study, magnetohydrodynamic (MHD) natural convection flow investigated a large heat transfer trend in uniform magnetic field finite element approach. For verification, calculation results adjusted high stream function, temperature distribution, and the average Nusselt of MHD. This research presents an innovative contribution by analyzing corrugated geometries, specifically focusing on square-corrugated (SW) circle-corrugated (CW) configurations. Additionally, The influence key parameters constituting Hartman number, Rayleigh Darcy which largely affects velocities, temperature, was accurately observed present study. To computationally resolve, wave is in-stream behavior but has not influenced distribution or parameter. maximum minimum value number related to S at Da=10−5 case 1 WC 2, respectively. Furthermore, decreasing parameter increases velocity u v strength both cases.

Язык: Английский

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Multi-objective parameter optimization design of tapered-type manifold/variable cross-section microchannel heat sink

Applied Thermal Engineering, Год журнала: 2024, Номер 251, С. 123587 - 123587

Опубликована: Июнь 2, 2024

Язык: Английский

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Experimental investigation of thermohydraulic performance, entropy minimization, and exergy efficiency in red mud nanofluid

International Journal of Thermal Sciences, Год журнала: 2024, Номер 205, С. 109279 - 109279

Опубликована: Авг. 1, 2024

Язык: Английский

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Leveraging Artificial Intelligence to Enhance Port Operation Efficiency

Polish Maritime Research, Год журнала: 2024, Номер 31(2), С. 140 - 155

Опубликована: Июнь 1, 2024

Abstract Maritime transport forms the backbone of international logistics, as it allows for transfer bulk and long-haul products. The sophisticated planning required this form transportation frequently involves challenges such unpredictable weather, diverse types cargo kinds, changes in port conditions, all which can raise operational expenses. As a result, accurate projection ship’s total time spent port, anticipation potential delays, have become critical effective activity management. In work, we aim to develop management system based on enhanced prediction classification algorithms that are capable precisely forecasting lengths ship stays delays. On both training testing datasets, XGBoost model was found consistently outperform alternative approaches terms RMSE, MAE, R2 values turnaround waiting period models. When used model, had lowest RMSE 1.29 during 0.5019 testing, also achieved MAE 0.802 0.391 testing. It highest 0.9788 0.9933 Similarly, outperformed random forest decision tree models, with greatest phases.

Язык: Английский

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Machine learning analysis of thermophysical and thermohydraulic properties in ethylene glycol- and glycerol-based SiO2 nanofluids

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июнь 27, 2024

The study investigates the heat transfer and friction factor properties of ethylene glycol glycerol-based silicon dioxide nanofluids flowing in a circular tube under continuous flux circumstances. This tackles important requirement for effective thermal management areas such as electronics cooling, automobile industry, renewable energy systems. Previous research has encountered difficulties enhancing performance while handling increased associated with nanofluids. conducted experiments Reynolds number range 1300 to 21,000 particle volume concentrations up 1.0%. Nanofluids exhibited superior coefficients values than base liquid values. highest enhancement was 5.4% 8.3% glycerol -based Nanofluid relative penalty ∼30% 75%, respectively. To model predict complicated, nonlinear experimental data, five machine learning approaches were used: linear regression, random forest, extreme gradient boosting, adaptive decision tree. Among them, tree-based performed well few errors, forest boosting models also highly accurate. findings indicate that these advanced can accurately anticipate nanofluids, providing dependable tool improving their use variety study's help design more cooling solutions improve sustainability

Язык: Английский

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Explainable machine learning techniques for hybrid nanofluids transport characteristics: an evaluation of shapley additive and local interpretable model-agnostic explanations

Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер 149(21), С. 11599 - 11618

Опубликована: Окт. 19, 2024

Язык: Английский

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Mathematical modeling of entropy generation in MHD mixed convective Cu – Ag -Al ₂ O ₃ /H ₂ O tri-hybrid nanofluid over an exponential permeable shrinking surface with radiation and slip impacts: Multiple solutions with stability analysis

Numerical Heat Transfer Part B Fundamentals, Год журнала: 2024, Номер unknown, С. 1 - 29

Опубликована: Май 10, 2024

The present investigation aims to determine the existence of a dual solution in magnetohydrodynamic (MHD) mixed convective radiative flow Cu-Ag-Al2O3/H2O tri-hybrid nanofluid permeable Darcy–Forchheimer porous medium over an exponentially shrinking surface by considering velocity, thermal slips, and suction effects at surface. This study focuses on assessing entropy production novel coolant applications. To streamline analysis, complex nonlinear partial differential equations (PDEs) are simplified converting them into set ordinary (ODEs) through utilization similarity transformation technique. These ODEs then solved utilizing bvp4c numerical MATLAB function. Graphical tabular analyses conducted investigate impact emerging variables generation, as well temperature, skin friction coefficient, Nusselt number. Due contraction surface, solutions found, but cannot be found beyond critical values. values SC 1.58928, 1.48700, 1.66058, ξC −1.239499, −1.416999, −1.130030 for Cu/H2O nanofluid, Cu−Ag/H2O hybrid Cu−Ag−Al2O3/H2O respectively. A positive minimum eigenvalue γ1 signifies upper stable branch, while negative minimal indicates presence lower unstable branch. exhibits superior properties compared fluids. Adding nanoparticles traditional fluids is perceived improving their ability transmit heat. analysis has demonstrated that radiation temperature slip parameters significantly influence heat transfer rate. Thermal speed up creation entropy. Additionally, case solution, increase Forchheimer number results deceleration liquid flow, effect which further amplified magnetic field velocity parameter.

Язык: Английский

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Experimental investigation of zinc ferrite/insulation oil nanofluid natural convection heat transfer, AC dielectric breakdown voltage, and thermophysical properties

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 5, 2024

Язык: Английский

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The local heat transfer characteristics associated with mixed convective developing flow through a horizontal tube exposed to a uniform wall temperature boundary condition

International Journal of Thermal Sciences, Год журнала: 2024, Номер 203, С. 109167 - 109167

Опубликована: Май 24, 2024

Extensive research has been conducted on the heat transfer characteristics related to boundary conditions present in phase-change applications. However, there remains a fundamental gap understanding local of mixed convective laminar flow exposed uniform wall temperature condition. Furthermore, is disparity between numerical and experimental studies investigating this This study addresses these gaps by being first experimentally investigate developing through horizontal tube A novel setup was developed measure mean fluid temperatures along 5 m-long copper with an inner diameter 4.9 mm. While results indicated increase test section, average Nusselt numbers correlated well literature, indicating that similar trends existed prior studies. The for were divided into four regions: (1) Free Convection Developing, (2) Governing, (3) Sustained Convection, (4) Diminishing Heat Transfer. convection effects found near inlet associated secondary assisted becoming fully developed. due decreasing wall-fluid differences, free could not be sustained, eventually diminished as approached temperatures.

Язык: Английский

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