International Journal of Thermofluids最新文献_第10页

Analyzing heat and mass transfer of nanofluid flow on a stenosed artery applying endo-exothermic chemical reaction and bioconvection using a model-agnostic meta-learner technique: A numerical approach 利用模型不可知的元学习器技术，应用内放热化学反应和生物对流分析纳米流体在狭窄动脉上的传热传质

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-11-03 DOI: 10.1016/j.ijft.2025.101470

Shivalila Hangaragi , Neelima N , G K Tejaswini , K Vinutha , Amal Abdulrahman , J K Madhukesh

In fluid flow applications, endothermic and exothermic chemical reactions are important, especially in the scientific and engineering fields. They make advanced modeling and optimization of complex systems possible when combined with artificial neural networks (ANNs). As a result, the present investigation uses ANNs to study the influences of heat source/sink, endothermic/exothermic chemical reactions, and Darcy-Forchheimer porous media on the two-dimensional, stable, incompressible flow of bio-convection nanofluids through a stenosed artery (cylinder). Using appropriate similarity equations, non-linear partial differential equations are transformed into ordinary differential equations, which are then resolved with RKF-45 and the shooting technique. Important engineering coefficients were also investigated. Outcomes show that in an endothermic chemical reaction, the temperature profile increases as the chemical reaction parameter rises, whereas in an exothermic chemical reaction, the reverse behaviour is observed. The

C f %

shows negligible variations with the addition of nanoparticles at about 8.2 % across distinct parameter values. The

N u %

is strongly influenced by nanoparticles, increasing significantly for

λ_{1} > 0

than

λ_{1} < 0

. Model-Agnostic-Meta-Learning relative studies show high convergence; it generalizes effectively on unknown data. Error histogram studies validate performance analysis, training is stable, and the predicted values almost equal the actual values, proving its effectiveness.

在流体流动应用中，吸热和放热化学反应是重要的，特别是在科学和工程领域。当与人工神经网络（ann）相结合时，它们使复杂系统的高级建模和优化成为可能。因此，本研究使用人工神经网络来研究热源/汇、吸热/放热化学反应和Darcy-Forchheimer多孔介质对生物对流纳米流体通过狭窄动脉（圆柱）的二维、稳定、不可压缩流动的影响。利用适当的相似方程，将非线性偏微分方程转化为常微分方程，利用RKF-45和射击技术进行求解。对重要的工程系数也进行了研究。结果表明，在吸热化学反应中，温度分布随着化学反应参数的增加而增加，而在放热化学反应中，观察到相反的行为。在不同的参数值中，Cf%随纳米粒子的加入而变化可忽略不计，约为8.2%。Nu%受纳米粒子的影响较大，λ1>；0时Nu%比λ1<；0时Nu%显著增加。模型-不可知论-元学习相关研究显示出高度收敛性；它对未知数据进行了有效的泛化。误差直方图研究验证了性能分析，训练结果稳定，预测值与实际值基本相等，证明了其有效性。

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引用次数: 0

Viscous fluid flow past a permeable sphere- ANN approach 粘性流体流过可渗透球体-人工神经网络方法

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-11-06 DOI: 10.1016/j.ijft.2025.101475

P. Aparna , V.Ganesh Kumar , P. Padmaja , H. Niranjan

The current paper explores artificial neural networks (ANNs) approach to analyze flow of a viscous fluid through a spongy sphere. The aim of this study is to analyze viscous fluid flow past axisymmetric permeable sphere using Artificial Neural Networks (ANN). The specific objectives are to investigate velocity and pressure distributions. The proposed approach integrates Analytical methods with ANN modeling to achieve accurate predictions and deeper physical insight into viscous fluid flow behavior. The flow is regulated by non-linear PDE’s in terms of the stream function, subject to the relevant frontier conditions. The stream function is used to describe the flow pattern of the sphere's interior and exterior. The permeability parameter's limits are evaluated. The streamlining design is illustrated for various kinds of permeability parameter values. We investigate numerically how the permeability parameter affects drag, and findings are illustrated through graphs. The Feed-Forward Neural Network (FFNN) methods are employed to generate and study the solution for regulated fluid flow. A multilayer perceptron (MLP) neural network is employed in the sample functions. The adaptive moment estimation (ADAM) algorithm is employed to compute the adjustable parameters. The mathematical computations of both ANN and exact solutions are presented in tabular form and visually displayed for various physical parameter values. The effectiveness of the solution improves with the expansion of neurons and data points in neural networks. R-Squared values of 0.999 were achieved for the stream function of the fluid. Moreover, because to its diminished time and processing capacity demands for problem-solving, the current ANN framework can be used to more intricate models.

本文探讨了用人工神经网络（ANNs）方法来分析粘性流体在海绵体中的流动。利用人工神经网络（ANN）分析了轴对称可渗透球中粘性流体的流动。具体目标是研究速度和压力分布。所提出的方法将分析方法与人工神经网络建模相结合，以实现对粘性流体流动行为的准确预测和更深入的物理洞察。流动由非线性偏微分方程根据流函数进行调节，并受相关边界条件的约束。流函数用于描述球体内部和外部的流动模式。评估了渗透率参数的极限。给出了不同渗透率参数下的流线设计。我们用数值方法研究了渗透率参数对阻力的影响，并通过图表说明了结果。采用前馈神经网络（FFNN）方法生成并研究了调节流体流动的解。在样本函数中采用多层感知器神经网络。采用自适应矩估计（ADAM）算法计算可调参数。对于不同的物理参数值，人工神经网络的数学计算和精确解都以表格的形式显示出来。该方法的有效性随着神经网络中神经元和数据点的增加而提高。流体流函数的R-Squared值为0.999。此外，由于其减少了解决问题所需的时间和处理能力，目前的人工神经网络框架可以用于更复杂的模型。

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引用次数: 0

Ternary hybrid-nanofluid magneto-convective flow inside the octagonal enclosure with an inner circular obstacle contribution to entropy generation 具有内圆障碍物的八角形外壳内三元混合纳米流体磁对流流对熵的产生有贡献

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-11-14 DOI: 10.1016/j.ijft.2025.101480

Nur Jahangir Moon , Bijan Krishna Saha , Jahidul Islam Jihan , Goutam Saha , Md.Nur Alam , Suvash.C. Saha

Natural convection (NC) plays a pivotal role in convective heat transfer (HT) and has been extensively studied. This research focuses on examining the impact of different parameters on HT and fluid flow behavior of a ternary hybrid nanofluid (Al₂O₃-Fe₃O₄Cu-H₂O) under the influence of a magnetic field within an octagonal enclosure containing a circular obstacle. This work investigates HT features of a buoyancy-driven NC flow that is laminar, steady and incompressible. The study also takes into account the entropy generation (E_gen) and the Bejan number (Be) in an octagonal enclosure with an inner circular obstacle for varying boundary conditions. The finite element method is used to numerically solve the governing equations and the associated boundary conditions. A variety of parameter values are employed in this study such as 0 % ≤ nanoparticles volume fraction (φ) ≤ 5 %, 10³ ≤ Rayleigh number (Ra) ≤ 10⁶, 0 ≤ Hartmann number (Ha) ≤ 60. The present analysis highlights that the rate of HT and E_gen can be improved by adding ternary hybrid nanoparticles within the cavity by 42.9 % and 14.89 % respectively. However, the average E_gen becomes higher for increasing Ra and decreasing Ha at φ_a = φ_b = φ_c = 5 %. Moreover, larger nanoparticle volumes result in improved thermal performance, especially when Ra is higher. The ternary hybrid nanofluids for this architecture has the potential to improve thermal management systems by efficiently reducing external heat loss.

自然对流（NC）在对流换热（HT）中起着至关重要的作用，并得到了广泛的研究。本研究主要研究了在含有圆形障碍物的八角形封闭环境中，不同参数对三元杂化纳米流体（Al2O3-Fe3O4Cu-H2O）在磁场影响下的高温和流体流动行为的影响。这项工作研究了浮力驱动的NC流的高温特征，该流是层流，稳定和不可压缩的。该研究还考虑了具有内圆障碍物的八角形围场在不同边界条件下的熵产（Egen）和贝尚数（Be）。采用有限元法对控制方程和相关边界条件进行了数值求解。本研究采用了0 %≤纳米颗粒体积分数(φ)≤5%、103≤瑞利数(Ra)≤106、0≤哈特曼数(Ha)≤60等参数值。分析结果表明，在空腔中加入三元杂化纳米颗粒可使HT和Egen的速率分别提高42.9%和14.89%。当φa = φb = φc = 5%时，Ra增大，Ha减小，平均Egen增大。此外，更大的纳米颗粒体积可以改善热性能，特别是当Ra较高时。这种结构的三元混合纳米流体具有通过有效减少外部热损失来改善热管理系统的潜力。

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引用次数: 0

Heat transfer analysis of Al₂O₃–Cu/water nanofluid in a C-shaped wavy cavity under inclined magnetic effects 倾斜磁效应下c形波腔中Al₂O₃-Cu /水纳米流体的传热分析

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-11-25 DOI: 10.1016/j.ijft.2025.101510

M.M. Nour , Shaik Jakeer , M.A. Mansour , A.M. Rashad , T. Salah , Mohamed M. Awad , Abdallah Eldreham , Hossam A. Nabwey

This study investigates the thermal dynamics of a C-shaped, wavy, porous cavity filled with Al₂O₃-Cu/H₂O hybrid nanofluids, influenced by an inclined magnetic field and a heat source/sink. The governing equations are non-dimensionalized and resolved using the finite difference method in a proprietary MATLAB solver. The study investigates the influence of numerous dimensionless parameters such as length of heat position(B = 0.2, 0.4, 0.8), heat source/sink (Q = −4, 0, 1), Porosity ( ∈ =0.1, 0.3, 0.9), Rayleigh number(Ra = 10, 100, 10000), Hartmann number(Ha = 0, 25, 50),length of a cavity (H = 0.5, 10, 100), length of ED/H (L2 = 0.2, 0.4, 0.6) and distance of AD/H (L1 = 0.2, 0.4, 0.6)are analyzed. The findings demonstrate that an elevated Rayleigh number augments convection, whilst increased porosity promotes heat transfer efficiency. The Al₂O₃-Cu/H₂O hybrid nanofluids markedly improve heat transfer owing to their exceptional thermal conductivity. The average Nusselt number validates the efficacy of hybrid nanofluids in enhancing thermal performance. The results indicate that hybrid nanofluids enhance heat transfer, while magnetic fields hinder convection, and the cavity shape influences flow patterns. By limiting convective flow, an increased Hartmann number leads to heat transport that is dominated by conduction. Additionally, the length of the heater has a direct influence on the generation of vortices and the enhancement of localized heat and heat transfer.

本文研究了在倾斜磁场和热源/汇的影响下，填充Al₂O₃-Cu/H₂O混合纳米流体的c形波状多孔腔的热动力学。控制方程是无量纲化的，在专用的MATLAB求解器中使用有限差分法求解。研究分析了热源位置长度（B = 0.2、0.4、0.8）、热源/热源（Q =−4、0,1）、孔隙度（∈=0.1、0.3、0.9）、瑞利数（Ra = 10、100、10000）、哈特曼数（Ha =0、25、50）、空腔长度（H = 0.5、10、100）、ED/H长度（L2 = 0.2、0.4、0.6）、AD/H距离（L1 = 0.2、0.4、0.6）等无因次参数的影响。研究结果表明，瑞利数的增加增加了对流，而孔隙率的增加提高了传热效率。Al₂O₃-Cu/H₂O混合纳米流体由于其优异的导热性而显著改善了传热。平均努塞尔数验证了混合纳米流体在提高热性能方面的有效性。结果表明，混合纳米流体增强了传热，而磁场阻碍了对流，空腔形状影响了流动模式。通过限制对流流动，哈特曼数的增加导致以传导为主的热传递。此外，加热器的长度对涡的产生和局部热量和传热的增强有直接影响。

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引用次数: 0

Enhancing heat transfer and flow control with porous plates around a square cylinder 方形圆柱体周围多孔板强化传热和流动控制

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-10-01 DOI: 10.1016/j.ijft.2025.101439

Mohammad Javad Javadzadeh, Cyrus Aghanajafi

This study presents a two-dimensional numerical evaluation of thermal transport mechanisms enhancement and flow control around a square cylinder by employing a combination of two passive techniques: porous materials and splitter plates, at low Reynolds numbers. Despite the geometric simplicity of the cylinder, the surrounding flow exhibits complex behaviors that pose challenges in drag reduction and thermal optimization. Six different configurations were developed, each incorporating a pair of splitter plates positioned upper and lower the cylinder. While the splitter plates in the first and fourth models are solid, the others feature porous designs either partially covered with a porous layer or entirely made of porous material. Key flow and thermal parameters, including the coefficient of drag and lift, average Nusselt number, were analyzed for all models. Two of them demonstrated superior performance and were further examined under varying conditions of porous permeability, thickness of porous layer, and Reynolds number. Results show that combining porous splitter plates with a porous layer increases the average Nusselt number by up to 35 % and reduces the average drag coefficient by 22 % compared to the baseline case (bare cylinder). Higher permeability and thicker porous layers further enhance heat transfer and reduce aerodynamic forces, highlighting the potential of combined passive strategies for optimizing flow-thermal performance around bluff bodies.

本研究通过采用两种被动技术（多孔材料和分流板）的组合，在低雷诺数下，对方形圆柱体周围的热传递机制增强和流动控制进行了二维数值评估。尽管圆柱体的几何形状很简单，但其周围的流动却表现出复杂的行为，这给减阻和热优化带来了挑战。开发了六种不同的配置，每种配置都包含一对位于圆柱体上下的分离板。虽然第一和第四模型中的分离器板是实心的，但其他模型的特点是多孔设计，要么部分覆盖有多孔层，要么完全由多孔材料制成。分析了各模型的关键流动和热参数，包括阻力系数和升力系数，平均努塞尔数。其中两种材料表现出优异的性能，并在不同的多孔渗透率、多孔层厚度和雷诺数条件下进行了进一步的测试。结果表明，与基线情况（裸柱）相比，多孔分流板与多孔层相结合可使平均努塞尔数增加35%，平均阻力系数降低22%。更高的渗透率和更厚的多孔层进一步加强了传热，减少了空气动力，突出了优化钝体周围流动热性能的联合被动策略的潜力。

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引用次数: 0

Double-diffusive optimization in hybrid nanofluid convection using response surface method 基于响应面法的混合纳米流体对流双扩散优化

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-10-14 DOI: 10.1016/j.ijft.2025.101454

M. Al-Amin , T. Islam , M. Shihab , A.K. Azad , A. Paul , M.M. Rahman , M.F. Karim

Double-diffusive mixed convection in lid-driven cavities has been widely studied. However, the use of Al₂O₃–Cu/H₂O hybrid nanofluids in H-shaped enclosures are crucial for compact heat exchangers and micro-cooling systems which remains largely unexplored despite their superior thermal and convective properties. Moreover, the sensitivity of governing input parameters, a critical aspect for optimizing thermal-fluid performance has not been systematically addressed in previous studies. To address the gaps, this study focuses on the sensitivity analysis of mixed convection heat and mass transfer within a lid-driven H-shaped cavity, filled with hybrid nanofluid and featuring partially heated and concentrated walls. The primary objective is to study the influence of key dimensionless factors Ri, Re, and Le on the thermal and mass transfer performance of the system. A statistical method using response surface methodology (RSM) was implemented, with numerical simulations based on the Galerkin weighted residual FEM to solve the governing partial differential equations. The findings demonstrate that both the average heat transfer rate (Nu) and the average mass transfer rate (Sh) show a positive sensitivity to Ri and Re, however an inverse correlation was noted with Le. Furthermore, the sensitivity analysis indicates that Nu increases with the rise in Ri and Re but decreases with Le, while Sh increases with all three factors. The average heat transfer rate indicates a 12.02 % increase as the nanoparticle volume fraction (ϕ) increases from 1 % to 4 %, while a decrease of 11.25 % is noted when Le rises from 0.01 to 5. The statistical assessment of the model shows high R² values (98.52 % for Nu and 95.13 % for Sh), confirming the model’s suitability for forecasting these response functions. This study offers significant insights for optimizing heat and mass transfer processes in hybrid nanofluid applications.

双扩散混合对流在盖子驱动腔中得到了广泛的研究。然而，在H形外壳中使用Al₂O₃-Cu /H₂O混合纳米流体对于紧凑型热交换器和微冷却系统至关重要，尽管它们具有优异的热和对流性能，但它们在很大程度上仍未被开发。此外，控制输入参数的敏感性，这是优化热流体性能的一个关键方面，在以前的研究中没有系统地解决。为了解决这些空白，本研究重点分析了盖驱动的h形腔内混合对流传热传质的敏感性，该腔内填充混合纳米流体，并具有部分加热和浓缩的壁。主要目的是研究关键的无量纲因素Ri、Re和Le对系统传热传质性能的影响。采用响应面法（RSM），基于Galerkin加权残差有限元法进行数值模拟，求解控制偏微分方程。结果表明，平均传热率（Nu）和平均传质率（Sh）对Ri和Re均表现出正敏感性，而与Le呈负相关。敏感性分析表明，Nu随Ri和Re的增加而增加，随Le的增加而减少，而Sh随这三个因素的增加而增加。当纳米颗粒体积分数（φ）从1%增加到4%时，平均换热率增加12.02%，而当Le从0.01增加到5时，平均换热率下降11.25%。模型的统计评价表明，模型的R²值较高（Nu为98.52%，Sh为95.13%），证实了模型对这些响应函数的预测适用性。该研究为优化混合纳米流体应用中的传热传质过程提供了重要的见解。

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引用次数: 0

Thermally radiated heat transfer analysis on the viscous dissipated MHD EG-based copper-graphene hybrid nanofluid flow between parallel disks 黏性耗散MHD eg基铜-石墨烯混合纳米流体在平行圆盘间流动的热辐射传热分析

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-10-21 DOI: 10.1016/j.ijft.2025.101457

Pareekshith G. Bhat , Ali J. Chamkha , Nityanand P. Pai , Likhitha Nayak , Sampath Kumar V.S. , Devaki B. , Akshay Kumar , Ashwin Kumar Devaraj

The present study aims to theoretically investigate the impact of viscous dissipation on the behavior of heat transfer in the flow of ethylene glycol (EG)-based Graphene–Copper hybrid nanofluid (HNF). Furthermore, the nanofluid is assumed to be flowing through a channel of squeezing parallel disks under the combined effects of thermal radiation and external magnetic field. Moreover, it is considered that the impermeable upper disk approaches and dilates from the stationary lower porous disk through which the injection or suction takes place. The non-linear conservation equations that govern the flow and heat are translated into non-linear ordinary differential equations (ODEs) using suitable similarity transformations. Further, the obtained ODEs are approached by an elegant semi-analytical technique, the Homotopy perturbation method, in order to attain an approximate solution. In addition to the semi-analytical solution, the considered model is approached by the 4th order Runge–Kutta method, a well-known numerical technique, in order to compare the solutions obtained by two independent techniques. This investigation mainly highlights on analyzing the velocity distribution profile, coefficient of skin friction, temperature field, and Nusselt number for distinct pertinent physical parameters. From the figures, it is derived that the temperature profile rises with an increment in the Eckert number. However, it is noticed that a rise in the radiation parameter results in the temperature distribution to retard as the disks dilate in the suction case. Furthermore, it is perceived from the tables that the magnitude of the Nusselt number increases with elevation in the radiation parameter. Moreover, it can be concluded from the results that the solutions obtained from the two techniques are in good harmony.

本研究旨在从理论上研究粘滞耗散对乙二醇（EG）基石墨烯-铜杂化纳米流体（HNF）流动中传热行为的影响。此外，假设纳米流体在热辐射和外磁场的共同作用下流经挤压平行圆盘的通道。此外，认为不透水的上盘接近并从静止的下多孔盘扩张，通过该多孔盘进行注射或吸力。利用适当的相似变换将控制流体流动和热量的非线性守恒方程转化为非线性常微分方程（ode）。进一步，用一种优雅的半解析技术——同伦摄动法来逼近得到的ode，以获得近似解。除了半解析解外，还采用了四阶龙格-库塔方法（一种著名的数值方法）来逼近所考虑的模型，以便比较两种独立方法得到的解。本研究重点分析了不同物理参数下的速度分布、表面摩擦系数、温度场和努塞尔数。由图可知，温度曲线随埃克特数的增加而升高。然而，值得注意的是，辐射参数的增加导致温度分布随着吸盘在吸盘中的扩张而延迟。此外，从表中可以看出，努塞尔数的大小随辐射参数的升高而增加。结果表明，两种方法得到的解具有较好的一致性。

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引用次数: 0

Thermo-fluid analysis of a spring fin turbulator placement on the absorber plate of the solar air heater 安装在太阳能空气加热器吸收板上的弹簧翅片紊流器的热流体分析

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-10-10 DOI: 10.1016/j.ijft.2025.101444

Subash Acharya, K.Vasudeva Karanth, Shiva Kumar, Arunkumar H․ S․

This study examines the thermal performance of a solar air heater integrated with spring-shaped fins beneath the absorber plate, considering variations in both longitudinal and transverse pitch. The simulations are performed in ANSYS Workbench using the RNG k-ε turbulence model with enhanced wall treatment, accounting for thermal effects and viscous heating. The assumptions considered include steady, turbulent, fully developed flow at the test section inlet, thermally developing conditions, homogeneous and isotropic walls, and no-slip boundary conditions on all fluid-contact surfaces. The fins promote turbulence within the duct, improving convective heat transfer without significantly obstructing the flow. Results show that the Nusselt number increases with a higher number of springs, achieved by reducing either longitudinal or transverse pitch. The effective thermo-hydraulic efficiency rises initially but decreases at higher flow resistance. For varying longitudinal pitch ratios, a pitch of 0.08 produces the highest Nusselt number, while a pitch of 0.16 delivers the maximum thermo-hydraulic enhancement factor (THEF) when two springs are arranged across the width, consistent across the studied flow conditions. Correlations between spring pitch ratios, Nusselt number, and friction factor are developed through regression analysis, exhibiting a maximum deviation of ±10 % from numerical results.

本研究考察了在吸收板下方集成了弹簧形翅片的太阳能空气加热器的热性能，考虑了纵向和横向节距的变化。在ANSYS Workbench中使用RNG k-ε湍流模型进行了模拟，并对壁面进行了强化处理，考虑了热效应和粘性加热。所考虑的假设包括测试段入口处的稳定、湍流、充分发展的流动、热发展条件、均匀和各向同性的壁面以及所有流体接触面上的无滑移边界条件。翅片促进了管道内的湍流，在不显著阻碍流动的情况下改善对流换热。结果表明，通过减小纵向节距或横向节距，努塞尔数随着弹簧数量的增加而增加。当流动阻力增大时，有效热压效率先升高，后降低。对于不同的纵向节距比，当两个弹簧沿宽度排列时，节距为0.08产生最高的努塞尔数，而当两个弹簧沿宽度排列时，节距为0.16提供最大的热水力增强因子（THEF），在研究的流动条件下是一致的。通过回归分析得出了弹簧节距比、努塞尔数和摩擦系数之间的相关性，与数值结果的最大偏差为±10%。

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引用次数: 0

Artificial neural network-based study of unsteady MHD radiative hybrid nanofluid flow with activation energy in a porous medium 基于人工神经网络的多孔介质中带活化能的非定常MHD辐射混合纳米流体流动研究

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-10-22 DOI: 10.1016/j.ijft.2025.101460

Vakapalli Ramu , Paramsetti Sri Ramachandra Murty

This study investigates the unsteady heat and mass transfer characteristics of water-based hybrid nanofluid flow over a stretching surface embedded in a porous medium under mixed convection conditions. The hybrid nanofluid consists of titanium dioxide (TiO₂) and copper (Cu) nanoparticles dispersed in water. The analysis incorporates the effects of activation energy, thermal radiation, Brownian motion, and thermophoresis. The governing partial differential equations are transformed into ordinary differential equations using similarity transformations and solved numerically with a fourth-order Runge-Kutta method coupled with the shooting technique. The influence of key dimensionless parameters including magnetic field strength, Prandtl number, buoyancy ratio, unsteadiness parameter, thermal radiation, chemical reaction rate, and activation energy on velocity, temperature, and concentration profiles is examined. To improve predictive capability, an artificial neural network (ANN) is employed to estimate the skin friction coefficient using SCG, LM, CGB, and CGF algorithms. Performance evaluation through mean square error (MSE), regression plots, and error analysis indicates that the Levenberg–Marquardt (LM) algorithm provides superior accuracy, making it the most efficient method for predicting heat transfer characteristics.

This hybrid numerical AI framework demonstrates strong potential for accurately modeling magnetohydrodynamic hybrid nanofluid transport phenomena. The findings contribute to improved design and thermal management strategies in advanced energy and engineering systems.

本文研究了混合对流条件下水基混合纳米流体在多孔介质拉伸表面上的非定常传热传质特性。混合纳米流体由分散在水中的二氧化钛（TiO₂）和铜（Cu）纳米颗粒组成。该分析综合了活化能、热辐射、布朗运动和热泳的影响。利用相似变换将控制偏微分方程转化为常微分方程，并用四阶龙格-库塔法结合射击技术进行数值求解。考察了磁场强度、普朗特数、浮力比、非定常参数、热辐射、化学反应速率和活化能等关键无量纲参数对速度、温度和浓度分布的影响。为了提高预测能力，采用SCG、LM、CGB和CGF算法，采用人工神经网络（ANN）对皮肤摩擦系数进行估计。通过均方误差（MSE）、回归图和误差分析进行的性能评估表明，Levenberg-Marquardt （LM）算法具有优越的精度，是预测传热特性最有效的方法。这种混合数值AI框架显示了精确模拟磁流体动力混合纳米流体输运现象的强大潜力。研究结果有助于改进先进能源和工程系统的设计和热管理策略。

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引用次数: 0

Techno-economic analysis of renewable energy systems with pumped hydro storage for desalinating water in Saudi Arabia 沙特阿拉伯抽水蓄能脱盐可再生能源系统的技术经济分析

Q1 Chemical Engineering

International Journal of Thermofluids

Pub Date : 2025-11-01 Epub Date: 2025-09-26 DOI: 10.1016/j.ijft.2025.101430

Qamar Abbas , Hafiz Muhammad Ali , Awad B.S. Alquaity

The growing global population relies heavily on electricity and clean water. With limited freshwater resources, desalination of seawater using electricity is necessary. This study analyses the techno-economics of standalone solar, wind, and hybrid solar-wind energy systems coupled with battery or pumped hydro storage for powering reverse osmosis (RO) desalination plants. The desalination plants are designed to meet the freshwater requirements of 1000 homes in three Saudi Arabian coastal cities: Yanbu, Jeddah, and Jazan, corresponding to daily freshwater demands of 0.311 m³/day, 0.246 m³/day, and 0.182 m³/day, respectively. The analysis was performed using HOMER software, and the cost of electricity was selected as the sizing criterion. The results showed that hybrid solar-wind with pumped hydro storage was the most feasible configuration for Yanbu and Jeddah, while solar with pumped hydro storage was optimal for Jazan. The electricity cost for Yanbu and Jeddah was 0.173 $/kWh, while it was 0.179 $/kWh for Jazan. Desalinated water costs ranged from 0.787 to 0.899 $/m³ across the three locations, with pumped hydro storage emerging as the most cost-effective energy storage option. In Jeddah, electricity generation was evenly balanced, with solar and wind each supplying approximately 50%. Conversely, Yanbu relied heavily on solar power, contributing around 80%, while wind energy generated the remaining 20 %.

不断增长的全球人口严重依赖电力和清洁水。在淡水资源有限的情况下，利用电力淡化海水是必要的。本研究分析了独立太阳能、风能和混合太阳能风能系统与电池或抽水蓄能相结合，为反渗透（RO）海水淡化厂提供动力的技术经济效益。海水淡化厂设计用于满足沙特阿拉伯延布、吉达和吉赞三个沿海城市1000户家庭的淡水需求，每天的淡水需求分别为0.311 m³/天、0.246 m³/天和0.182 m³/天。采用HOMER软件进行分析，选取电费成本作为分级标准。结果表明，在延布和吉达，太阳风与抽水蓄能的混合配置是最可行的，而在吉赞，太阳能与抽水蓄能的混合配置是最优的。延布和吉达的电费为0.173美元/千瓦时，而吉赞的电费为0.179美元/千瓦时。三个地区的淡化水成本从0.787美元/立方米到0.899美元/立方米不等，抽水蓄能成为最具成本效益的储能选择。在吉达，发电是均衡的，太阳能和风能各占大约50%。相反，盐部严重依赖太阳能，占80%左右，而风能占剩余的20%。

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引用次数: 0