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Effect of heat production on MHD natural convection transport of nanofluid flow via a vertical uniform perforated plate: An unsteady analysis 热量产生对纳米流体流经垂直均匀穿孔板的 MHD 自然对流传输的影响:非稳态分析
Q1 Chemical Engineering Pub Date : 2024-09-16 DOI: 10.1016/j.ijft.2024.100868
Ashish Barmon, Md Kamrul Hasan, Md Hasibul Haque, Md Hasanuzzaman
This article statistically investigates the impact of heat production on the unstable MHD natural convection transport of nanofluid flow via a perforated sheet. The ordinary differential equations (ODEs) are derived from the partial differential equations (PDEs) by using of the similarity transformation. The dimensionless ordinary differential equations (ODEs) may be numerically resolved with the help of the MATLAB ODE45 tool and the finite difference method (FDM) along with the shooting strategy. Four innovative water-based nanofluids such as TiO2, Cu, Al2O3, and Ag are considered nanoparticles. The numerical results have been explained for the role of numerous non-dimensional numbers or parameters such as heat generation or absorption (Q), nanoparticle volume fraction (φ), Dufour number (Df), Prandtl number (Pr), magnetic force parameter (M), Soret number (Sr), and Schmidt number (Sc) on the fluid flow, and heat and mass transfer rates. The fluid temperature drops but velocity is enhanced for higher amounts of Q. Copper nanoparticle volume fraction up to 4 % shows a rise in temperature, concentration, and velocity curves. Heat transfer rate ( − θ′(0)) diminishes by about 124 %, while the values of f′(0) promote by approximately 26 % owing to an increase in the values of Q (heat generation) from 1.0 to 2.0. The value of ( − θ′(0)) increases by 49 %, but f′0 decreases by 15 % due to a rise in Q (heat absorption) from -3.0 to -10.0. The local skin friction coefficient (f′(0)) diminishes by about 65.21 % due to an increase in the values of the magnetic force parameter (M) from 0.5 to 3.5 whereas the rate of heat and mass transfer remain unchanged. As φ increased from 0.01 to 0.04, the local skin friction coefficient (f′(0)) exhibited a 36 % increase, while the heat transport rate (θ′(0)) decreased around by 10 %. In conclusion, a comparison was made between our findings and those of the published research. The comparison indicates a high degree of consistency.
本文从统计学角度研究了热量产生对纳米流体流经穿孔板的不稳定 MHD 自然对流传输的影响。通过相似性变换,从偏微分方程(PDE)导出常微分方程(ODE)。借助 MATLAB ODE45 工具和有限差分法(FDM)以及射击策略,可以对无量纲常微分方程(ODEs)进行数值求解。四种创新的水基纳米流体,如 TiO2、Cu、Al2O3 和 Ag 被视为纳米粒子。数值结果解释了许多非尺寸数或参数对流体流动、传热和传质速率的作用,如发热或吸热(Q)、纳米粒子体积分数(φ)、杜弗数(Df)、普朗特数(Pr)、磁力参数(M)、索雷特数(Sr)和施密特数(Sc)。纳米铜粒子的体积分数达到 4 % 时,温度、浓度和速度曲线都会上升。由于 Q 值(发热量)从 1.0 增加到 2.0,传热速率(-θ′(0))降低了约 124%,而 f′(0)值提高了约 26%。( - θ′(0))值增加了 49%,但由于 Q 值(吸热)从-3.0 增加到-10.0,f′0 下降了 15%。由于磁力参数 (M) 值从 0.5 增加到 3.5,局部表皮摩擦系数 (f′(0)) 减小了约 65.21%,而传热和传质速率保持不变。当 φ 从 0.01 增加到 0.04 时,局部表皮摩擦系数(f′(0))增加了 36%,而热传递速率(θ′(0))降低了约 10%。最后,对我们的研究结果和已发表的研究结果进行了比较。比较结果表明两者具有高度的一致性。
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引用次数: 0
Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage 用于预测数据中心用电效果的基于注意力的集成深度神经网络架构
Q1 Chemical Engineering Pub Date : 2024-09-16 DOI: 10.1016/j.ijft.2024.100866
Yang-Cheng Shih , Sathesh Tamilarasan , Chin-Sheng Chen , Omid Ali Zargar , Yean-Der Kuan
Addressing the critical need for enhanced power usage effectiveness in data centers (DCs), this study pioneers an improved convolutional long short-term memory with deep neural network (CLDNN) model, enriched with attention mechanisms for precise DC performance prediction. We rigorously evaluate our model against leading architectures – long short-term memory (LSTM), attention-based (att-LSTM), convolutional LSTM (CNN-LSTM), gated recurrent unit (GRU), and CNN-GRU – to affirm its superiority in predictive accuracy and robustness. The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. A subsequent flattening layer optimizes accuracy, while a dual-layered LSTM and a deep neural network delve into frequency, temporal dynamics, and complex data relationships. Incorporating an attention mechanism into the att-CLDNN model has revolutionized predictive analytics in DC energy management, significantly enhancing accuracy by highlighting crucial data interdependencies. This model's unparalleled precision, evidenced by achieving the lowest Mean Squared Error (MSE) of 0.000179, the minimum Mean Absolute Error (MAE) of 0.01048, and the highest R2 Score of 0.977031, underscores its effectiveness. Crucially, this breakthrough fosters sustainability in energy management, promoting greener DC operations through precise energy use predictions, leading to substantial energy savings and reduced carbon emissions, in alignment with global sustainability objectives.
为了满足提高数据中心(DC)用电效率的迫切需求,本研究开创了一种改进型卷积长短期记忆深度神经网络(CLDNN)模型,该模型采用了注意力机制,可用于精确的 DC 性能预测。我们对照领先的架构--长短期记忆(LSTM)、注意力型(att-LSTM)、卷积 LSTM(CNN-LSTM)、门控递归单元(GRU)和 CNN-GRU--对我们的模型进行了严格评估,以肯定其在预测准确性和鲁棒性方面的优势。卷积层的整合可高效处理每小时的数据输入,降低复杂性并改进模式检测。随后的扁平化层优化了准确性,而双层 LSTM 和深度神经网络则深入研究了频率、时间动态和复杂的数据关系。在 att-CLDNN 模型中加入注意力机制,彻底改变了直流电能管理中的预测分析方法,通过突出关键数据的相互依存关系,显著提高了准确性。该模型实现了 0.000179 的最低平均平方误差 (MSE)、0.01048 的最小平均绝对误差 (MAE) 和 0.977031 的最高 R2 得分,无与伦比的精确度彰显了其有效性。最重要的是,这一突破促进了能源管理的可持续发展,通过精确的能源使用预测促进了更环保的直流操作,从而节省了大量能源并减少了碳排放,与全球可持续发展目标保持一致。
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引用次数: 0
Thermal-induced buoyant water jet discharge under shallow coastal water conditions 沿海浅水条件下的热诱导浮力水射流排放
Q1 Chemical Engineering Pub Date : 2024-09-16 DOI: 10.1016/j.ijft.2024.100857
Amir Bordbar , Yong Ming Dai , Simone Michele , Ola Zawalna-Geer , Zhengwei Chen , Salah A Faroughi , Yeaw Chu Lee

A novel discharge dispersion model is developed to simulate the complex three-dimensional flow behaviour of thermal-induced buoyant water jets under current-wave coexisting conditions. The model solved the governing fluid flow and energy equations for two immiscible and incompressible phases (water and air) which were weakly coupled by applying the Boberbeck-Boussinesq approximation. Different turbulence models, such as k−ε multiphase, k-ω SST, k-ω SST-multiphase, k-ω SST-stable, and realizable k−ε were applied. Extensive verification of the model's performance is conducted by comparing the developed model results against a diverse range of analytical and experimental data. First, a series of simulations are carried out to evaluate the performance of the model in reproducing the results of the wave hydrodynamic and interactions with the submerged trapezoid bar. This is followed by numerically replicating the experimental results of a vertical non-buoyant submerged jet under current-only and current-wave environments. Finally, the potency of the coupled hydro-thermal algorithm is assessed by validating against different thermal-induced buoyant submerged jet experimental tests. For this purpose, numerical prediction of the developed model is tested against physical experiments for a series of tests for thermal-induced buoyant submerged horizontal jets in stationary water and inclined thermal-induced buoyant water jet under the influence of current-wave environments. Results showed that the k-ω SST-multiphase provides the best agreement with the laboratory measured data in terms of flow, temperature distribution field, plume trajectory and dilution. The findings confirmed that the developed model can be used as a reliable tool in precisely modelling characteristic of thermal-induced buoyant water jet in shallow coastal waters.

建立了一个新颖的放电分散模型,用于模拟在水流-波浪共存条件下热浮力水射流的复杂三维流动行为。该模型求解了两相(水和空气)不可溶解和不可压缩的流体流动和能量方程,并通过应用 Boberbeck-Boussinesq 近似法进行了弱耦合。应用了不同的湍流模型,如 k-ε 多相模型、k-ω SST 模型、k-ω SST 多相模型、k-ω SST 稳定模型和可实现的 k-ε 模型。通过将开发的模型结果与各种分析和实验数据进行比较,对模型的性能进行了广泛验证。首先,进行了一系列模拟,以评估模型在再现波浪流体力学结果以及与水下梯形杆相互作用结果方面的性能。随后,对水流环境和水流-波浪环境下垂直非浮力水下射流的实验结果进行了数值复现。最后,通过对不同的热诱导浮力水下射流实验测试进行验证,评估了水热耦合算法的有效性。为此,针对静止水中的热诱导浮力沉没式水平射流和水流-波浪环境影响下的倾斜热诱导浮力水射流的一系列试验,将所开发模型的数值预测与物理试验进行了对比测试。结果表明,k-ω SST 多相模型在流量、温度分布场、羽流轨迹和稀释方面与实验室测量数据的一致性最好。研究结果证实,所开发的模型可作为一种可靠的工具,用于精确模拟浅海沿岸水域热致浮力水射流的特征。
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引用次数: 0
Lie symmetry neural networking for heat transfer in magnetized williamson fluid (MWF) with heat source (HS) and thermal slip (TS) 带有热源(HS)和热滑移(TS)的磁化威廉姆森流体(MWF)中传热的李对称神经网络
Q1 Chemical Engineering Pub Date : 2024-09-16 DOI: 10.1016/j.ijft.2024.100870
Khalil Ur Rehman , Wasfi Shatanawi , Taqi AM Shatnawi

In the analysis, design, and optimization of a wide range of engineering applications involving stretching surfaces and fluid flow, the skin friction coefficient (SFC) at a stretching surface with heat transfer is an important parameter that reflects the fluid dynamics, heat transfer characteristics, and surface interactions. Owing such importance, the purpose of present article is offer artificial neural networking remedy for evaluation of SFC for Williamson flow field with thermal slip and heat source effects. The Williamson fluid flow is realized by considering surface stretching with an externally supplied magnetic field. The energy equation is used to address the heat transmission. The constructed differential system for flow field is solved by conjecturing artificial neural networking with Lie symmetry and shooting methods. Artificial Neural Networking (ANN) model is developed to predict the surface quantity namely SFC at thermally magnetized surface. The major findings includes the variation in SFC for pertinent flow parameters and we found that in the presence of heat transfer aspects, the SFC admits declining nature towards Weissenberg number while opposite is the case for magnetic field parameter.

在涉及拉伸表面和流体流动的各种工程应用的分析、设计和优化中,带热传导的拉伸表面的表皮摩擦系数(SFC)是反映流体动力学、热传导特性和表面相互作用的重要参数。鉴于其重要性,本文旨在提供人工神经网络方法,用于评估具有热滑移和热源效应的威廉姆森流场的 SFC。威廉姆森流体流动是通过考虑具有外部磁场的表面拉伸来实现的。能量方程用于解决热传递问题。所构建的流场微分系统是通过猜想人工神经网络与李对称和射击方法来解决的。人工神经网络(ANN)模型用于预测热磁化表面的表面量,即 SFC。主要研究结果包括相关流动参数在 SFC 中的变化,我们发现,在存在热传导的情况下,SFC 会随着魏森堡数的增加而下降,而磁场参数则相反。
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引用次数: 0
Stochastic modeling of multiple-server charging stations for electric vehicle networks using feedback strategies: A queueing-theoretic approach 利用反馈策略对电动汽车网络的多服务器充电站进行随机建模:队列理论方法
Q1 Chemical Engineering Pub Date : 2024-09-16 DOI: 10.1016/j.ijft.2024.100859
Shreekant Varshney , Bhasuru Abhinaya Srinivas , Mayank Gupta , Manthan Shah , Aksh Bavisi

Nowadays, electric vehicles (EVs) significantly affect transportation as they provide a more environmentally friendly alternative to traditional fossil-fueled automobiles. Electric vehicles, which depend on energy stored in batteries, significantly contribute to environmental preservation and comply with worldwide efforts to tackle climate change. However, the growing demand for electric vehicles causes traditional power grids under pressure emphasizing the necessity of establishing a suitable infrastructure for charging electric vehicles. Charging stations are becoming increasingly critical since they allow for the recharging of electric vehicles and play a significant role in stabilizing the power system. In order to optimize charging station infrastructure with multiple servers, the current research incorporates a Markovian queueing modeling approach. The primary objective of the study is to address queue management concerns and boost overall productivity. Considering the real-world challenges, a queue-based stochastic model for multi-server EV systems and individual feedback strategies is developed. Subsequently, a transition state diagram is provided by balancing the input-output rates between the adjacent states. Next, the system of Chapman-Kolmogorov differential-difference equations is formulated to help understand mathematical modeling better. The matrix method is employed to demonstrate the state probability distribution in equilibrium. The infographics are utilized and incorporated for better visualization of the research findings. For a better understanding from an individual's point of view, numerous managerial insights are provided. Lastly, several concluding remarks and future perspectives are provided that can help decision-makers and practitioners to construct and analyze economic strategies based on EV management systems.

如今,电动汽车(EV)对交通运输产生了重大影响,因为与传统的化石燃料汽车相比,它们提供了更环保的替代品。电动汽车依靠电池储存能量,对环境保护和全球应对气候变化的努力做出了重大贡献。然而,对电动汽车日益增长的需求给传统电网带来了压力,因此必须建立合适的基础设施为电动汽车充电。充电站正变得越来越重要,因为它们可以为电动汽车充电,并在稳定电力系统方面发挥着重要作用。为了优化具有多个服务器的充电站基础设施,目前的研究采用了马尔可夫排队建模方法。研究的主要目的是解决队列管理问题,提高整体生产率。考虑到现实世界中的挑战,研究人员为多服务器电动汽车系统和个体反馈策略开发了一个基于队列的随机模型。随后,通过平衡相邻状态之间的输入输出率,提供了过渡状态图。接下来,为了帮助更好地理解数学建模,我们提出了 Chapman-Kolmogorov 微分方程系统。采用矩阵法展示平衡状态下的状态概率分布。为了更好地直观展示研究成果,还使用并结合了信息图表。为了从个人角度更好地理解研究结果,还提供了许多管理方面的见解。最后,还提供了一些结论性意见和未来展望,以帮助决策者和从业人员构建和分析基于电动汽车管理系统的经济战略。
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引用次数: 0
Simulation and design of a solar chimney integrated with phase change material layer for building ventilation 模拟和设计集成相变材料层的建筑通风太阳能烟囱
Q1 Chemical Engineering Pub Date : 2024-09-14 DOI: 10.1016/j.ijft.2024.100853
Hussam Hakeem Qasim , Ahmed K. Alshara , Falah A. Abood

The development of modern life requires new energy sources, and one of this energy is renewable solar energy uses in solar chimney for natural ventilation, but at the present time it is not greatly invested, taking into account the weather conditions of the region and the physical characteristics of solar radiation and air in the area in which the study will be conducted. The current study was carried out in Basrah city- Iraq, at longitude 47.749° and latitude 30.568°, where the solar chimney was facing south. The investigation was conducted using both theoretical and experimental studied. In the theoretical study, the solar chimney with the room in the presence and absence of PCM was simulated numerically using the finite volume method using the soft package ANSYS-Fluent/2021/R2. The effect of different tilt angles (α = 30°, 45°, and 60°), solar chimney air gap (gab = 10 cm, 15 cm, and 20 cm), and PCM basin thickness (tPCM = 3 cm, 4 cm, and 5 cm) were investigated. The results were presented in the form of contours of the distribution of streamlines, velocity, temperature, and liquid fraction of the solar chimney with the room, rate of temperature of the absorber plate with time and the rate of temperature of the PCM (TPCM) with time, rate of air change per hour (ACH). As for the experimental side, the device was built, and the intensity of solar radiation was studied for several days on 30 Sep. and 15 Oct. 2023, the temperature distribution rate of the absorbent plate over time, the PCM temperature rate, and the air change per hour (ACH). The theoretical results were compared with the experimental results, where there was good agreement, and the theoretical comparison was also made with several researchers. Significant results showed that the optimal ratio of the air gap width of the solar chimney is 15 cm, the inclination angle of the solar chimney α = 30°, and the thickness of the PCM basin (tPCM = 4 cm) to obtain the maximum ventilation rate. The thickness of the PCM basin = 4 cm gives the largest liquid fraction along time and maximum average temperature of the absorber plate. On the experimental, it was found that PCM convert into the liquid phase after its melting point, which is 340 K, after 12 noon, and the highest value of ACH reached 37 on September 30/2023 at midday.

现代生活的发展需要新能源,其中一种能源是用于自然通风的太阳能烟囱中使用的可再生太阳能,但考虑到该地区的天气条件以及研究地区的太阳辐射和空气的物理特性,目前该能源的投入并不多。本次研究在伊拉克巴士拉市进行,该市位于东经 47.749°,北纬 30.568°,太阳能烟囱朝南。调查采用了理论和实验两种研究方法。在理论研究中,使用 ANSYS-Fluent/2021/R2 软件包,采用有限体积法对存在和不存在 PCM 的房间太阳能烟囱进行了数值模拟。研究了不同倾斜角度(α = 30°、45° 和 60°)、太阳能烟囱空气间隙(gab = 10 厘米、15 厘米和 20 厘米)和 PCM 盆厚度(tPCM = 3 厘米、4 厘米和 5 厘米)的影响。研究结果以流线分布、速度、温度、太阳能烟囱与房间的液体比例、吸收板温度随时间的变化率、PCM(TPCM)温度随时间的变化率、每小时换气次数(ACH)的等值线形式呈现。在实验方面,我们建造了该装置,并在 2023 年 9 月 30 日和 10 月 15 日连续几天研究了太阳辐射强度、吸收板随时间的温度分布率、PCM 温度率和每小时换气次数(ACH)。将理论结果与实验结果进行了比较,结果吻合良好,同时还与几位研究人员进行了理论比较。显著的结果表明,太阳能烟囱的气隙宽度为 15 厘米、太阳能烟囱的倾斜角度 α = 30°、PCM 盆的厚度(tPCM = 4 厘米)的最佳比例可获得最大通风率。PCM 盆的厚度 = 4 cm 时,吸收板沿时间方向的液体分数最大,平均温度最高。实验发现,PCM 在中午 12 点之后会在其熔点(340 K)之后转化为液相,ACH 的最高值在 2023 年 9 月 30 日中午达到 37。
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引用次数: 0
Numerical study of the porous cavity with different square size vanes with a high focus on Nusselt number 对带有不同方形叶片的多孔空腔进行数值研究,重点关注努塞尔特数
Q1 Chemical Engineering Pub Date : 2024-09-14 DOI: 10.1016/j.ijft.2024.100860
Musa Bahmani , Morteza Babagoli , Payam Jalili , Bahram Jalili , Davood Domiri Ganji

This study extensively analyzes various regular and irregular vanes in pipe porous cavities on natural convection, thermal entropy generation, stream function, and temperature distribution in fluid and solid phases. The finite element method (FEM) is employed to study stream function, temperature distribution in the fluid phase and solid phase, and various γ for Nuf, ave and Nus, ave in SR, TR, SIR, and TIR. In the present study, a significant contribution of this research is the investigation into the effects of regular versus irregular vanes in the context of enclosures formed by pipe porous cavities that the SIR specimen has the most influence on stream function and thermal effect in the fluid phase and solid phase that aims to enhance system performance and optimize energy efficiency. In addition, the significant influence of geometrical parameters constitutes many heated obstacles in the middle of SIR, various heated vanes in the left of SIR, and employed Ra and ε in the analysis of Nuf, ave and Nus, ave in SIR are carried out to investigate the percentage discrepancies obtained, notably 89.35 % and 89.72 %, respectively. In validation, the calculation in results was adapted accurately to the finite element method's stream function, the temperature distribution in the fluid phase and solid phase, and various γ for Nuf, ave and Nus, ave which means that the percentage differences in obtaining results reached under 1 %. Numerical results revealed that the Hartman number has a significant influence in Shtf, ave,  Shts, ave,  Tyave, Nuf, ave and Nus, ave in TR, SR, TIR, and SIR.

本研究广泛分析了管道多孔空腔中各种规则和不规则叶片对自然对流、热熵产生、流函数以及流体和固体相温度分布的影响。采用有限元法(FEM)研究了 SR、TR、SIR 和 TIR 中的流函数、流体相和固体相的温度分布以及 Nuf, ave 和 Nus, ave 的各种 γ。在本研究中,本研究的一个重要贡献是调查了在由管道多孔空腔形成的围护结构中,规则叶片与不规则叶片的影响,发现 SIR 试样对流体相和固体相中的流功能和热效应影响最大,其目的是提高系统性能和优化能源效率。此外,在分析 SIR 中的 Nuf, ave 和 Nus, ave 时,还采用了 Ra 和 ε,研究了 SIR 中许多受热障碍物和左侧各种受热叶片构成的几何参数的重要影响,得出的差异百分比分别为 89.35 % 和 89.72 %。在验证过程中,计算结果准确地适应了有限元法的流函数、流体相和固体相的温度分布以及 Nuf, ave 和 Nus, ave 的不同 γ,这意味着计算结果的百分比差异低于 1%。数值结果表明,哈特曼数对 TR、SR、TIR 和 SIR 中的 Shtf、ave、Shts、ave、Tyave、Nuf、ave 和 Nus、ave 有显著影响。
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引用次数: 0
A critical review of the thermal-hydraulic performance of fin and tube heat exchangers using statistical analysis 利用统计分析对鳍片和管式热交换器的热液压性能进行严格审查
Q1 Chemical Engineering Pub Date : 2024-09-13 DOI: 10.1016/j.ijft.2024.100858
Muhammad Reshaeel , Mostafa M. Abdelsamie , Mohamed I. Hassan Ali

Fin and tube heat exchangers (FTHE) find widespread application in a variety of industries including refrigeration, air conditioning, automotive, electronics, and power generation. Current research on FTHE is focused on developing heat exchangers that are compact, cost-effective, and energy efficient. This review paper is focused on the quantitative assessment and comparison of the thermal-hydraulic performance of different type of FTHE. Analysis of variance is used to determine the most important performance factors and their interactions for the considered type of FTHE. A comparative analysis of the thermal-hydraulic performance of different FTHE types is conducted based on Nusselt number, friction factor, and normalized performance evaluation index (NPEI). Finally, a parametric study is carried out to investigate the impact of significant performance parameters on the thermal-hydraulic characteristics of the respective FTHE type. Louvered FTHE and modified FTHE with vortex generators outperform the plain and wavy FTHE in terms of NPEI. This comprehensive review offers significant insights for enhancing the thermal-hydraulic performance of different type of FTHE and selecting the appropriate type tailored to specific application requirements.

翅片管式热交换器(FTHE)广泛应用于制冷、空调、汽车、电子和发电等多个行业。目前有关翅片管式热交换器的研究主要集中在开发结构紧凑、经济高效和节能的热交换器上。这篇综述论文的重点是对不同类型 FTHE 的热液压性能进行定量评估和比较。本文采用方差分析来确定所考虑的 FTHE 类型中最重要的性能因素及其相互作用。根据努塞尔特数、摩擦因数和归一化性能评估指数(NPEI),对不同类型 FTHE 的热-水力性能进行了比较分析。最后,还进行了参数研究,以探讨重要性能参数对不同类型 FTHE 热液压特性的影响。就 NPEI 而言,百叶窗式 FTHE 和带涡流发生器的改进型 FTHE 优于普通型和波浪型 FTHE。本综述为提高不同类型 FTHE 的热液压性能和选择适合特定应用要求的类型提供了重要启示。
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引用次数: 0
Scrutiny of pseudoplastic nanofluid flow under the influence of magnetic hydrodynamics with chemical reaction across the cylinder with slip boundary condition 滑移边界条件下磁流体力学影响下跨圆柱体化学反应的伪塑性纳米流体流动研究
Q1 Chemical Engineering Pub Date : 2024-09-13 DOI: 10.1016/j.ijft.2024.100848
S. Bilal , Azad Hussain , Tayyaba Arshad

Buoyantly induced flows possess diversified utilizations in numerous engineering processes for instance, reactor cooling through passive strategy, LED lights, pipes manufacturing, ship funnel and many more. Galvanized sheets sticked to form a hollow cylinder is used for fast cooling in naval ship and chimney of steam power plant. In view of such mesmerizing significance of flow and thermal attributes of fluid over vertical cylinder, current effort is articulated. For this purpose, Williamson fluid model is accounted and nanoparticles are also induced to envision advanced thermal features in the flow over vertically oriented cylinder. Physical effectiveness of magnetic field implications and chemical reactive species are entertained to notice change in hydrothermal and mass fields. Slip boundary constraint along with stagnant flow at the surface of cylinder is considered to inspect behavior in free stream region. The fundamental governing equations of problem are attained in the sense of PDEs by utilizing the concept of boundary layer approximation and converted into coupled nonlinear ODEs by substituting specific similar variables. Numerically the resulting ODEs are resolved by making the use of bvp4c built in MATLAB routine, the outcomes are attained and arranged in graphical and tabular manner. The influence of pertinent flow parameters such as (0.1 ≤ We ≤ 1.0), (1.0 ≤ M ≤ 3.0), (1.0 ≤ Pr ≤ 11), thermophoresis parameter (0.5 ≤ Tp ≤ 4.5), (1.0 ≤ Bp ≤ 5.0), (0.05 ≤ Nr ≤ 0.7), and (0.5 ≤ Kc ≤ 5.0) are examined on the momentum, thermal and concentration distributions. It is manifested that the velocity distribution depreciates by uplifting magnetic field strength. Increment in magnitude of wall drag and convective heat transfer is perceived by enhancing Prandtl number. It is inferred that friction coefficient in absolute sense and heat flux coefficient tends to exceed against elevation in (We). From comprehensive analysis, declination in velocity and thermal field is depicted versus Reynold number whereas, contrary aspects are visualized in concentration. Enhancement in the value of surface drag and thermal flux is revealed versus (Re).

浮力诱导流在许多工程过程中都有多种用途,例如通过被动策略冷却反应堆、LED 灯、管道制造、船舶漏斗等。将镀锌板粘贴成空心圆柱体,可用于军舰和蒸汽发电厂烟囱的快速冷却。鉴于流体在垂直圆柱体上的流动和热属性具有如此重要的意义,目前正在进行相关研究。为此,对威廉姆森流体模型进行了核算,并诱导纳米粒子来设想垂直方向圆柱体上流动的高级热特征。磁场影响和化学反应物种的物理效果可用于观察热液场和质量场的变化。考虑了滑动边界约束和圆柱体表面的停滞流,以检查自由流区域的行为。利用边界层近似的概念,从 PDE 的意义上获得了问题的基本控制方程,并通过替换特定的类似变量将其转换为耦合非线性 ODE。利用 MATLAB 例程中内置的 bvp4c 对所产生的 ODE 进行数值求解,并以图形和表格的方式对结果进行排列。研究了相关流动参数(0.1≤We≤1.0)、(1.0≤M≤3.0)、(1.0≤Pr≤11)、热泳参数(0.5≤Tp≤4.5)、(1.0≤Bp≤5.0)、(0.05≤Nr≤0.7)和(0.5≤Kc≤5.0)对动量、热量和浓度分布的影响。结果表明,磁场强度升高,速度分布下降。壁面阻力和对流传热的增加是通过提高普朗特数来实现的。推断出摩擦系数的绝对值和热流系数随着(We)的升高而增大。通过综合分析,速度和热场随雷诺数的变化而减弱,而浓度则相反。表面阻力和热通量的数值随(Re)的变化而增加。
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引用次数: 0
The effect of initial pressure and temperature on the flow in a three-dimensional cavity filled with paraffin/Cu nanostructure with a wavy lower wall and a movable upper wall using molecular dynamics simulation 利用分子动力学模拟研究初始压力和温度对充满石蜡/铜纳米结构(下壁为波浪形,上壁为活动壁)的三维空腔中流动的影响
Q1 Chemical Engineering Pub Date : 2024-09-13 DOI: 10.1016/j.ijft.2024.100862
Dheyaa J. Jasim , Ali B.M. Ali , Abduljabar H. Ali , Soheil Salahshour , Sh. Esmaeili

Phase change materials (PCMs) are very suitable for the storage of thermal energy. Heat transfer plays a crucial role in many important industrial processes in today's industrial environment. Thus, it is crucial to examine and comprehend this occurrence properly. This work uses molecular dynamic simulation to examine the effect of initial pressure (IP) and temperature (Temp) on the thermal efficiency of phase change materials inside a three-dimensional cavity. The hollow contains paraffin/Cu nanoparticles and has a bottom wall with a wavy shape and an upper wall that can be adjusted. The results of the equilibration stage indicated that the kinetic and potential energies converge to 2100 eV and -95472.50 eV after 10 ns. Next, the results show that increasing IP resulted in the reduction of maximum velocity and Temp, which decreased from 0.0099 Å/ps and 898 K to 0.0090 Å/ps and 888 K. Furthermore, the results show that by increasing IP, the heat flux and thermal conductivity decrease from 9.95 W/m2 and 1.45 W/m.K to 8.89 W/m2 and 1.26 W/m.K. Conversely, as the initial Temp rose from 300 to 350 K, so did the velocity (0.0125 Å/ps) and Temp (990 K). Furthermore, the thermal conductivity and heat flux increased to 1.69 W/mK and 11.25 W/m2, respectively. This study reveals how molecular dynamics simulations provide insights into the effects of initial pressure and temperature on the flow and thermal behavior of a paraffin/copper nanostructure. The findings improve understanding of nanofluid and phase change material behavior, aiding the design of more efficient PCM-based systems for thermal energy storage and heat transfer applications. In general, the results of this research illuminate the complex relationship among IP, Temp, and thermal properties of phase change materials. This knowledge is of great significance as it can guide the formulation of novel approaches to enhance the thermal efficiency of these materials in practical applications.

相变材料(PCM)非常适合储存热能。在当今的工业环境中,热传导在许多重要的工业流程中发挥着至关重要的作用。因此,正确研究和理解这种现象至关重要。本研究利用分子动力学模拟来研究初始压力(IP)和温度(Temp)对三维空腔内相变材料热效率的影响。空腔包含石蜡/铜纳米颗粒,底壁呈波浪形,上壁可调节。平衡阶段的结果表明,10 ns 后,动能和势能分别收敛到 2100 eV 和 -95472.50 eV。接着,结果表明,增加 IP 会导致最大速度和温度降低,从 0.0099 Å/ps 和 898 K 下降到 0.0090 Å/ps 和 888 K。此外,结果表明,随着 IP 的增加,热通量和热导率分别从 9.95 W/m2 和 1.45 W/m.K 降至 8.89 W/m2 和 1.26 W/m.K。此外,热导率和热通量分别增加到 1.69 W/mK 和 11.25 W/m2。这项研究揭示了分子动力学模拟如何深入了解初始压力和温度对石蜡/铜纳米结构的流动和热行为的影响。这些发现加深了人们对纳米流体和相变材料行为的理解,有助于设计更高效的基于 PCM 的热能存储和热传递应用系统。总的来说,这项研究成果阐明了 IP、温度和相变材料热特性之间的复杂关系。这些知识具有重要意义,因为它可以指导制定新的方法,以提高这些材料在实际应用中的热效率。
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引用次数: 0
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International Journal of Thermofluids
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