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An analytical model for whirlwinds of finite width rising with bounded velocity and decaying outflow: Application to dust devils 有限宽度有界上升速度和衰减出口漩涡的解析模型:在尘卷风中的应用
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-27 DOI: 10.1016/j.euromechflu.2025.204451
Sanjay Kumar Pandey, Kriti Yadav
This study presents an analytical model that extends previous formulations by incorporating axial dependence in all velocity components, thus offering a more realistic representation of dust devil dynamics. We address the limitations of the fundamental model of Vyas and Majdalani (2006), such as unbounded velocity and infinite vortex width, by modifying the stream function, which captures radial and axial variation of velocity. The velocity components are physically bounded and consistent with observed vortex structures. Additionally, the radial pressure distribution is derived, and the flow field is analysed using normalized radial, axial, and azimuthal velocities. The azimuthal velocity is computed from the radial and axial flows using the angular momentum equation. It increases from the centre, peaks near the periphery, and gradually decays to zero toward the axis. This model represents the compact features of dust devils by producing a smooth, confined structure with consistent vertical dependence, unlike alternative models that introduce abrupt transitions or unbounded behaviour. The profile maintains central stability in accordance with the Rayleigh criterion, while peripheral centrifugal instability reflects the transient and dissipative nature of dust devils. The model captures dust lifting and charge separation in dust devils, linking strong updrafts and confined flow to enhanced electrification and particle transport.
本研究提出了一个分析模型,通过在所有速度分量中纳入轴向依赖性,扩展了以前的公式,从而提供了一个更现实的尘暴动力学表示。我们通过修改流函数来解决Vyas和Majdalani(2006)的基本模型的局限性,例如无界速度和无限涡旋宽度,该流函数捕获了速度的径向和轴向变化。速度分量在物理上是有界的,与观测到的涡结构一致。此外,导出了径向压力分布,并使用归一化的径向、轴向和方位角速度分析了流场。用角动量方程从径向流和轴向流计算方位角速度。它从中心开始增加,在外围附近达到峰值,并逐渐向轴衰减到零。与引入突变或无界行为的其他模型不同,该模型通过产生具有一致垂直依赖性的光滑、受限结构来代表尘卷风的紧凑特征。剖面保持中心稳定符合瑞利准则,而外围离心不稳定反映了尘卷的瞬态和耗散性质。该模型捕获了尘卷中的粉尘提升和电荷分离,将强大的上升气流和受限流动与增强的电气化和粒子传输联系起来。
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引用次数: 0
Analysis of compliant tube properties and operating conditions in a Liebau pump 利宝泵柔性管特性及运行条件分析
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-26 DOI: 10.1016/j.euromechflu.2025.204450
Manuel Rubio , Francisco Castro-Ruiz , José Sierra-Pallares , César Barrios-Collado , Joaquín Anatol
This study examines asymmetric pumping in Liebau pumps, a type of valveless pump that generates unidirectional flow through the periodic compression of a flexible (compliant) tube. This pumping has applications in biomedical devices, microfluidics, and organ support. We investigate how the properties of the compliant tube and the operating conditions affect the pump performance, using dimensionless parameters. Experiments were performed with different configurations, varying the tube material (latex and rubber) and the fluid (water and water–glycerine mixture). The results indicate that the flow rate and resonant period depend on the stiffness of the tube and the viscous effects. It was observed that for small values of the Womersley number (Wo2), viscous effects significantly reduce the flow rate. In contrast, for large Womersley values, the semiempirical models previously proposed adequately predict the experimental behaviour. Effects such as the compliant tube depression, which were not accounted for in previous models, were also found to influence performance. This work extends the analysis of this type of pump to unexplored conditions, with the aim of expanding knowledge and enabling the use of Liebau pumps in real-world applications.
本研究考察了Liebau泵中的不对称泵送,Liebau泵是一种无阀泵,通过对柔性(柔性)管的周期性压缩产生单向流动。这种泵送在生物医学设备、微流体和器官支持方面有应用。我们使用无量纲参数研究了弯曲管的特性和操作条件对泵性能的影响。实验以不同的结构进行,不同的管材料(乳胶和橡胶)和流体(水和水-甘油混合物)。结果表明,流量和共振周期取决于管道的刚度和粘性效应。观察到,当沃默斯利数(Wo2)较小时,粘性效应显著降低了流速。相比之下,对于较大的沃默斯利值,先前提出的半经验模型可以充分预测实验行为。在以前的模型中没有考虑到的弯曲管凹陷等影响也会影响性能。这项工作将这种类型的泵的分析扩展到未开发的条件,目的是扩大知识和在实际应用中使用Liebau泵。
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引用次数: 0
Electron acoustic solitary wave in quantum plasmas with Kappa electrons 具有Kappa电子的量子等离子体中的电子声孤波
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-23 DOI: 10.1016/j.euromechflu.2025.204449
Aakanksha Singh, Punit Kumar
Electron-acoustic solitary waves (EASWs) in quantum plasma comprising stationary ions, cold electrons, hot electrons, and kappa-distributed electrons have been investigated. The generalized Kappa-Fermi distribution has been modified to include electrostatic energy contribution and the number density of Kappa electrons has been obtained using this modified distribution. Utilizing the quantum hydrodynamic (QHD) model, a dispersion relation has been derived for linear EAWs. Employing the standard reductive perturbation technique, a Korteweg–de Vries (KdV) equation governing the dynamics of EAWs have been derived. The quantum mechanical effects of different parameters like kappa index, Mach number and equilibrium kappa electron density have been examined on the profiles of EASWs. It is found that the presence of kappa electrons in quantum plasma leads to new results, including steeper dispersion curves, sharper and more localized solitary waves with lower value of kappa index and stronger plasma interactions with increased kappa electrons density in dense astrophysical environment.
研究了由固定离子、冷电子、热电子和kappa分布电子组成的量子等离子体中的电子声孤波。对广义Kappa- fermi分布进行了修正,使其包含静电能量的贡献,并由此得到了Kappa电子的数密度。利用量子流体力学(QHD)模型,推导了线性ews的色散关系。采用标准的约化微扰技术,推导了一个控制电畴动力学的KdV方程。考察了kappa指数、马赫数和平衡kappa电子密度等参数对EASWs谱线的量子力学效应。研究发现,在致密的天体物理环境中,量子等离子体中kappa电子的存在导致了新的结果,包括色散曲线更陡,kappa指数更低,孤立波更尖锐,更局域化,kappa电子密度增加,等离子体相互作用更强。
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引用次数: 0
Deep learning prediction of unsteady turbulent transformation pattern inside and around the interactions between a sorting grid and a trawl system 分类网格与拖网系统相互作用内部及周围非定常湍流转换模式的深度学习预测
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-23 DOI: 10.1016/j.euromechflu.2025.204448
Bruno Thierry Nyatchouba Nsangue , Tang Hao , Mezoue Adiang Cyrille , Liuxiong Xu , Fuxiang Hu , Ruben Mouangue
The unsteady turbulent flow, the trawl codend, and the Bycatch reduction device (BRD) are characterized by a complex interaction. A thorough understanding of this interaction is crucial for minimizing bycatch, enhancing the escape probability of non-target species, and improving trawl selectivity. This study analyzes unsteady turbulent flow fields inside and around the bottom trawl codends equipped with BRDs, systematically exploring the reconstruction capabilities of three deep learning algorithms, involving Long Short-Term Memory (LSTM), Echo State Network (ESN), and Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM). Extensive assessment encompasses the predictive reliability of the instantaneous flow fields, velocity ratio profiles, turbulent intensity, turbulent kinetic energy, Reynold stress, time series streamwise flow velocities, and training efficiency. Results indicate a full development of unsteady turbulent flow inside and around the codend without BRD, characterized by instantaneous shear layer instabilities and vortex shedding. In contrast, the codend-BRD system and water flow interaction generates two distinct regions with very low flow velocity fields behind it, characterized by vortex-shedding structures on the unsteady turbulent wake. The flow velocity deficit was greater inside the codend compared to that observed inside the combined codend-BRD system due to free water flow passage through the combined codend-BRD system due to the presence of BRD windows. A higher turbulent kinetic energy, greater momentum flux, and stronger turbulence intensities are observed inside and around the codend without BRD compared to the codend-BRD system. Additionally, the results indicate that ESN and CNN-LSTM exhibit a significant advantage in reconstructing unsteady turbulent flow parameters. The prediction of unsteady turbulent flow parameters indicates that all the three models are substantially consistent with the experimental data. However, LSTM is a judicious choice when solely the time series variables require prediction. These insights significantly advance the development of smart trawl nets, offering a pathway to enhance gear selectivity through data-driven design.
非定常湍流、拖网尾流和副渔获物减少装置(BRD)具有复杂的相互作用。深入了解这种相互作用对于减少副渔获量、提高非目标物种的逃逸概率和提高拖网选择性至关重要。本研究对配备brd的底拖网代码内部和周围的非定常流场进行了分析,系统探索了长短期记忆(LSTM)、回声状态网络(ESN)和卷积神经网络-长短期记忆(CNN-LSTM)三种深度学习算法的重构能力。广泛的评估包括瞬时流场、速度比剖面、湍流强度、湍流动能、雷诺应力、时间序列流向流速和训练效率的预测可靠性。结果表明,在没有BRD的情况下,尾端内部和周围的非定常湍流充分发展,以瞬时剪切层不稳定和旋涡脱落为特征。相比之下,代码- brd系统和水流相互作用产生了两个截然不同的区域,其后面的流速场非常低,其特征是非定常湍流尾迹上的涡落结构。由于BRD窗口的存在,自由水流通过组合代码-BRD系统,因此与组合代码-BRD系统内部相比,代码端内部的流速赤字更大。与codend-BRD系统相比,没有BRD的codend系统内部和周围具有更高的湍流动能、更大的动量通量和更强的湍流强度。结果表明,回声状态网络和CNN-LSTM在重建非定常湍流参数方面具有显著优势。对非定常湍流参数的预测表明,三种模型与实验数据基本一致。然而,当只有时间序列变量需要预测时,LSTM是一个明智的选择。这些见解显著推动了智能拖网的发展,提供了通过数据驱动设计提高齿轮选择性的途径。
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引用次数: 0
Threshold of thermoconvective flows in a liquid metal battery with thermal coupling with its environment 液态金属电池与环境热耦合时的热对流阈值
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-22 DOI: 10.1016/j.euromechflu.2025.204446
Anupam M. Hiremath , Harunori N. Yoshikawa , Innocent Mutabazi
Liquid Metal Battery (LMB) is a recent technology proposed to store the energy produced by intermittent sources such as solar cells, wind turbines or tidal power plants. The liquid metal batteries operate with large current densities but with very low open circuit voltages (OCV). A LMB consists of superimposed three layers of immiscible liquids in a stable stratification: the top layer made of light liquid metal and the bottom one made of dense liquid metal alloy sandwich the electrolyte layer (often a molten salt). Each layer has its own specific fluid properties and due to large difference in thermal and electrical conductivities between the liquid metals and the electrolyte, the application of a large current density can generate thermoconvective instabilities. The present works presents, in the framework of the linear stability analysis, the effects of the physical properties and thicknesses of liquid layers on the critical parameters on thermoconvective flows induced by Joule heating in a LMB of rectangular cross-section. The thermal coupling of the LMB with its environment described by the mixed thermal boundary conditions through the Biot number modifies the temperature profiles of the conduction state and reduces the threshold of all thermoconvective flows.
液态金属电池(LMB)是最近提出的一项技术,用于存储太阳能电池、风力涡轮机或潮汐发电厂等间歇性能源产生的能量。液态金属电池工作时电流密度大,但开路电压(OCV)很低。LMB由三层不混溶液体以稳定的分层叠加而成:顶层由轻液态金属制成,底层由高密度液态金属合金制成,夹在电解质层(通常是熔盐)中。每一层都有其特定的流体性质,由于液态金属和电解质之间的热导率和导电性差异很大,因此大电流密度的应用会产生热对流不稳定性。本文在线性稳定性分析的框架下,研究了矩形截面LMB中焦耳加热引起的热对流流动中,液体层的物理性质和厚度对临界参数的影响。混合热边界条件通过Biot数描述的LMB与环境的热耦合改变了传导态的温度分布,降低了所有热对流流的阈值。
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引用次数: 0
Insight into the numerical efficiency and stability of a residual-coupled segregated solver for gas-condensate two-phase flow in pipelines: An algorithmic study 管道中凝析气两相流残余耦合分离求解器的数值效率和稳定性:一种算法研究
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-18 DOI: 10.1016/j.euromechflu.2025.204447
Yupeng Liao , Changjun Li , Wenlong Jia , Juncheng Mu , Jie He , Fan Yang , Qiaojing Huang
This paper proposes a new segregated algorithm named SIMPLE-Revised with Residual Coupling (SIMPLER*) for simulating the two-phase flow of gas-condensate in pipelines. The full coupling of velocity and pressure is ensured by introducing the momentum equation residual and the double inner iteration, which improves the computational efficiency while solving the issues of velocity-pressure decoupling and pressure overcorrection in the traditional Semi-Implicit Method for Pressure-Linked Equations (SIMPLE) algorithm. The adaptive time-stepping method is employed to reduce computational costs in transient simulations. The performance of SIMPLE, SIMPLE-Revised-Revised (SIMPLERR), and SIMPLER* algorithms is comprehensively compared. Validation across four classical benchmark tests confirms the superior robustness and numerical stability of SIMPLER*, which exhibits lower numerical diffusion and remains oscillation-free under strong pressure discontinuities. Subsequent steady-state and transient engineering cases demonstrate that the computational efficiency of the SIMPLER* algorithm is significantly better than that of the SIMPLE and SIMPLERR algorithms, both in coarse and fine grids. The proposed "adaptive time-stepping + SIMPLER* algorithm" combination method greatly reduces the computational overhead while ensuring the accuracy of the solution, providing an efficient and reliable solution for the transient simulation of complex two-phase flow with phase change.
本文提出了一种新的分离算法SIMPLE-Revised with Residual Coupling (simple *),用于模拟管道中凝析气的两相流动。通过引入动量方程残差和双内迭代,保证了速度和压力的完全耦合,提高了计算效率,同时解决了传统的半隐式压力链接方程法(SIMPLE)算法的速度-压力解耦和压力过校正问题。在瞬态仿真中,采用自适应时间步进方法来减少计算量。对SIMPLE、SIMPLE- revision - revised (SIMPLERR)和SIMPLE *算法的性能进行了全面比较。通过四个经典基准测试的验证证实了simple *具有出色的鲁棒性和数值稳定性,它表现出较低的数值扩散,并且在强压力不连续下保持无振荡。随后的稳态和瞬态工程实例表明,无论在粗网格还是细网格中,SIMPLE *算法的计算效率都明显优于SIMPLE和SIMPLERR算法。提出的“自适应时间步进+ simple *算法”组合方法在保证求解精度的同时,大大降低了计算开销,为复杂相变两相流瞬态仿真提供了高效可靠的解决方案。
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引用次数: 0
Direct numerical simulation and linear stability analysis of circular waves in the stator boundary layer of rotor–stator cavity 动静腔定子边界层内圆波的直接数值模拟及线性稳定性分析
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-16 DOI: 10.1016/j.euromechflu.2025.204440
Siyi Li , Zihao Zhu , Lei Xie , Yaguang Xie , Ruonan Wang , Qiang Du , Junqiang Zhu
Instabilities in rotor–stator cavities significantly influence flow dynamics and heat transfer processes within aerospace propulsion systems. Among these instabilities, the circular waves manifests within the stator boundary layer and exhibits transient behavior highly sensitive to disturbances in the basic state. To elucidate the underlying mechanisms driving this transient phenomenon, through direct numerical simulation (DNS), we systematically imposed impulsive changes and harmonic modulations on the rotation speed of the rotor, thereby inducing various types of disturbances. Our findings reveal that the emergence of circular waves is triggered by these disturbances, with the waves’ characteristics displaying marked sensitivity to the nature of the disturbances. Specifically, increasing the disturbance frequency leads to an upward migration of the circular waves’ radial position. The energy and radial extent of the circular waves exhibit a trend of first increasing and then decreasing as the disturbance frequency increases. Moreover, as the disturbance amplitude increases, the radial extent occupied by the circular waves expands, while the midpoint of their radial position remains unaltered. We further identified that when a hub rotating with the rotor, circular waves can become self-sustaining under certain conditions. Specifically, when the gap ratio (γ=(ba)/H, where a is the radius of the hub, b is the radius of the shroud, H is the half of the gap between the rotor and stator) and rotational Reynolds number (Re=Ωb2/ν, where Ω refers to the rotational speed of the rotor, and ν refers to the kinematic viscosity) are sufficiently large, disturbances on the stator side can migrate through the hub, amplify, and form disturbances on the rotor side, subsequently re-exciting circular waves on the stator. Through linear stability analysis, we determined the boundary in the (Re,γ) parameter domain that delineates conditions for self-sustaining circular waves. This study provides a comprehensive investigation into the behavior of circular waves, shedding new light on their complex dynamics within rotor–stator cavities.
动静腔的不稳定性对航空航天推进系统的流动动力学和传热过程有重要影响。在这些不稳定性中,圆波表现在定子边界层内,并且在基本状态下表现出对扰动高度敏感的瞬态行为。为了阐明驱动这种瞬态现象的潜在机制,我们通过直接数值模拟(DNS)系统地对转子转速施加脉冲变化和谐波调制,从而诱导各种类型的扰动。我们的研究结果表明,圆波的出现是由这些扰动触发的,波的特征对扰动的性质表现出明显的敏感性。具体来说,扰动频率的增加导致了圆波径向位置的向上偏移。随着扰动频率的增加,圆波的能量和径向范围呈现先增大后减小的趋势。此外,随着扰动幅度的增大,圆形波占据的径向范围扩大,而其径向位置的中点保持不变。我们进一步发现,当轮毂与转子一起旋转时,在一定条件下,圆波可以自我维持。具体来说,当比例的差距(γ= (b−)/ H,在中心的半径,b是裹尸布的半径,H是在转子和定子之间的一半的差距)和旋转雷诺数(Re =Ωb2 /ν,Ω指的是转子的转速,和ν是指运动粘度)足够大,干扰在定子端可以通过中心迁移,放大,并形成干扰在转子端,随后re-exciting圆形波在定子上。通过线性稳定性分析,我们确定了(Re,γ)参数域的边界,该边界描述了自维持圆波的条件。该研究对圆波的行为进行了全面的研究,为其在转子-定子腔内的复杂动力学提供了新的视角。
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引用次数: 0
Impact of blood rheology on left heart haemodynamics: Newtonian vs. non-Newtonian modelling 血液流变学对左心血流动力学的影响:牛顿模型与非牛顿模型
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-15 DOI: 10.1016/j.euromechflu.2025.204445
Valerio Lupi , Filippo Caruso Lombardi , Martino Andrea Scarpolini , Roberto Verzicco , Francesco Viola
Although blood exhibits non-Newtonian properties, it is often modelled as a Newtonian fluid in numerical studies. However, the impact of this assumption on the accuracy of the predictions of computational models is not thoroughly assessed. For this reason, in this work, we compare the effect of Newtonian and shear-thinning blood rheological models on computational haemodynamics in the left heart. The analysis is based on the fluid–structure-electrophysiology interaction (FSEI) within a patient-specific anatomy of an individual with low ejection fraction to better highlight viscosity changes at low strain rates. Owing to the pulsatile nature of the flow, considerable spatio-temporal variations of the kinematic viscosity are observed for the non-Newtonian case. Integral quantities as well as blood pressure within the cardiac chambers are found to be weakly affected by the rheological model. Substantial differences are reported, instead, between the Newtonian and non-Newtonian cases, for the wall shear stress and local haemolysis index since they are sensitive to the local kinematic viscosity, which decreases within the shear layers of the systolic and diastolic jets, as well as in the near-wall regions.
虽然血液表现出非牛顿流体的特性,但在数值研究中它通常被建模为牛顿流体。然而,这一假设对计算模型预测准确性的影响并没有得到彻底的评估。因此,在这项工作中,我们比较了牛顿和剪切稀释血液流变学模型对左心计算血流动力学的影响。该分析基于低射血分数个体的特定解剖结构中的流体结构-电生理相互作用(FSEI),以更好地突出低应变速率下的粘度变化。由于流动的脉动性质,在非牛顿情况下观察到相当大的运动粘度的时空变化。研究发现,流变模型对心脏腔内的积分量和血压影响不大。相反,在牛顿和非牛顿的情况下,壁面剪切应力和局部溶血指数有实质性的差异,因为它们对局部运动粘度很敏感,在收缩和舒张射流的剪切层内,以及在近壁区域,运动粘度降低。
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引用次数: 0
A unidirectional phase-resolved wave prediction model based on deep Koopman embeddings 基于深库普曼嵌入的单向相位分辨波预测模型
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-12 DOI: 10.1016/j.euromechflu.2025.204429
Zhongying Feng , Ye Wang , Chenghao Fu , Ruipeng Li , Kun Zheng , Zhan Wang
The phase-resolved wave prediction is of vital importance for improving the safety and operations of structures in ocean engineering, such as floating wind turbines and wave energy converters. However, it is challenging for traditional physical methods to predict wave elevation accurately and efficiently in high sea states where the nonlinearity plays an important role. Inspired by the capability of the Koopman theory in solving nonlinear problems, a phase-resolved wave prediction model by combining deep learning with Koopman operator, referred to as DKWP, is designed. The high-order spectral method is employed for providing training and test data. To illustrate the effectiveness of the proposed method, we compare it with another four phase-resolved wave prediction models, including the models based on artificial neural network, long short-term memory, U-Net and linear wave theory. The models are trained under the sea states 3–5 with wide ranges of significant height, peak period and peak factor. Comparisons between the predicted wave elevation and true wave elevation indicate that DKWP outperforms the other models in terms of accuracy. The generalization of the DKWP is validated when it predicts the wave elevation under the sea states 6–7. In addition, to improve the interpretability of the DKWP, the eigenvalues of the Koopman operator in the proposed model are further analyzed.
相分辨波浪预报对于提高海上工程结构的安全性和运行性能具有重要意义,如浮式风力发电机组和波浪能变流器。然而,在非线性起重要作用的高海况下,传统的物理方法难以准确有效地预测海浪高程。受Koopman理论解决非线性问题能力的启发,设计了一种结合深度学习和Koopman算子的相位分辨波预测模型,简称DKWP。采用高阶谱法提供训练和测试数据。为了说明该方法的有效性,我们将其与另外四种相位分辨波预测模型进行了比较,包括基于人工神经网络、长短期记忆、U-Net和线性波理论的模型。模型在3-5海况下进行训练,显著高度、峰值时段和峰值因子范围较大。预测波高与真实波高的比较表明,DKWP模型在精度上优于其他模型。通过对6 ~ 7海况下波浪高程的预测,验证了DKWP的泛化效果。此外,为了提高DKWP的可解释性,进一步分析了该模型中Koopman算子的特征值。
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引用次数: 0
PCM energy storage considering nanofluid volumetric radiation and natural convection in an inclined non-uniformly heated enclosure: LBM simulation 考虑纳米流体体积辐射和自然对流在倾斜非均匀加热封闭环境中的PCM储能:LBM模拟
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-12-10 DOI: 10.1016/j.euromechflu.2025.204444
Masoud Sobhani , Javad Abolfazli Esfahani , Hashem Ahmadi Tighchi
This study presents a comprehensive numerical investigation of the melting behavior of a phase change material during heat transfer and storage. This material is located in an inclined enclosure filled with nanofluid, under non-uniform wall heating conditions. For the nanofluid medium, the influence of natural convection and volumetric thermal radiation is considered using real radiative properties of nanoparticles. The Lattice Boltzmann Method is utilized to simulate the coupled heat transfer and phase change processes. The effects of Planck numbers (Pl = 0.01–1), Rayleigh numbers (Ra = 104 and 105), and inclination angles (γ = 0°–90°) are examined at different times to assess temperature distribution, melting front propagation, velocity profile, liquid fraction, and total heat transfer performance. The results show that at the highest Planck number (Pl = 1), natural convection dominates, with melting starting from boundaries aligned with the heated nanofluid flow. However, at Planck numbers less than 0.1, radiation significantly enhances the temperature distribution and melting rate, resulting in up to 8.3 and 7.5 times increases in the liquid fraction and total Nusselt number, respectively. At Pl = 1, the inclination angle of 0° yielded the highest melting performance with a liquid fraction of 31 % and 22 % for Ra= 104 and 105, respectively. While at Pl = 0.01, the inclination angle of 45° achieved the maximum melting with values exceeding 60 % due to the intensified radiative heat transfer and enhancement of the total Nusselt number by about 8 times. The interplay between radiation intensity and enclosure angle offers an influential mechanism for enhancing thermal performance. These findings provide valuable insights into the optimized design of advanced latent heat storage systems under multi-mode heat transfers.
本文对相变材料在传热和储存过程中的熔化行为进行了全面的数值研究。这种材料位于一个充满纳米流体的倾斜外壳中,在不均匀的壁加热条件下。对于纳米流体介质,利用纳米粒子的真实辐射特性,考虑了自然对流和体积热辐射的影响。利用晶格玻尔兹曼方法模拟了传热与相变的耦合过程。在不同时间考察了普朗克数(Pl = 0.01-1)、瑞利数(Ra = 104和105)和倾角(γ = 0°-90°)的影响,以评估温度分布、熔化锋传播、速度分布、液体分数和总传热性能。结果表明,在最高普朗克数(Pl = 1)时,自然对流占主导地位,熔化从与加热纳米流体流动对齐的边界开始。然而,在普朗克数小于0.1时,辐射显著增强了温度分布和熔化速率,导致液体分数和总努塞尔数分别增加了8.3倍和7.5倍。在Pl = 1时,当倾角为0°时,Ra= 104和Ra= 105的熔液分数分别为31%和22%,熔融效果最好。而在Pl = 0.01时,45°倾角下,由于辐射传热加剧,总努塞尔数增加了约8倍,最大熔化值超过60%。辐射强度和围护角之间的相互作用为提高热工性能提供了一个有影响的机制。这些发现为多模式传热下先进潜热存储系统的优化设计提供了有价值的见解。
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European Journal of Mechanics B-fluids
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