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On the stable convection in a differentially spot-heated loop near the temperature of maximum density 最大密度温度附近的差动点热回路的稳定对流
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-13 DOI: 10.1016/j.euromechflu.2025.204366
Alexey E. Rastegin
Welander’s approach to study convective motions in a differentially spot-heated loop is reformulated for the case of fluid near the temperature of maximum density. The existence of this temperature is of great importance to understand dynamics of temperate lakes. The key character of the case of interest is that heat exchange takes place only within small spots at the bottom and the top of the loop. This study aims to reveal what happens with convective motions when fluid is near a state with the zero coefficient of thermal expansion. A somehow surprising conclusion is that steady regimes of convection, when they exist, turn out to be stable. This outcome differs from the case when heat exchange with the environment in line with Newton’s law of cooling takes place in a whole range of the loop. The findings of theoretical analysis are supported by the results of numerical studies. The reported outcomes allow us to estimate peculiarities of building more complex models of thermal convection. In particular, the role of spot-heated character of exchange with the environment is demonstrated. This feature should be kept in mind in attempts to simulate natural convection on the base of idealized models.
对于流体接近最大密度温度的情况,韦兰德研究差分点加热回路中对流运动的方法被重新表述。该温度的存在对了解温带湖泊的动态具有重要意义。本案例的关键特征是热交换只发生在循环底部和顶部的小点内。本研究旨在揭示当流体接近零热膨胀系数状态时对流运动的情况。一个多少有些令人惊讶的结论是,对流的稳定状态,当它们存在时,被证明是稳定的。这种结果不同于与环境的热交换符合牛顿冷却定律的情况发生在整个循环范围内。理论分析的结果得到了数值研究结果的支持。报告的结果使我们能够估计建立更复杂的热对流模型的特点。特别说明了与环境交换的点热特性的作用。在尝试以理想模型为基础模拟自然对流时,应牢记这一特征。
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引用次数: 0
Thermohydraulic performance of twisted circular tube (TCT) retrofitted with twisted strip (TS) insert 加螺纹条(TS)嵌件的扭转圆管(TCT)热工性能研究
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-12 DOI: 10.1016/j.euromechflu.2025.204367
Janhavi K. Devnikar, Jayraj M. Chapare, Om M. Butle, P.W. Deshmukh, Pravin R. Kubade, Lalit K. Toke
Augmentation of heat transfer plays a crucial role in energy-saving options in modern thermal systems. These enhancement methods are passive with no external power source, and another is an active method where an external energy source is essential. The passive methods are more popular and the best energy-saving option, making the system more effective and efficient. The recent advancement in passive methods is a compound method consisting of alterations in the fluid containers and obstructions in fluid passages. In the prevailing study, the round tube is formed in the profile of a twisted tube, within which a twisted strip is placed. The twisted tube causes a reduction in the temperature and velocity gradients near the tube surface due to the twisting motion of the fluid at that region, whereas the central core portion of the fluid interacts thoroughly with the heated surface due to the presence of the twisted strip at the central portion of the twisted tube. This modified flow system enhanced heat transfer using air as a fluid in turbulent flow circumstances for Reynolds numbers ranging from 2500 to 17000. The present study indicates that the average improvement ratio, Nue/Nup, and average friction factor ratio, fe/fp, are 1.25–3.9 and 2.0–12.0, respectively, compared with the plain tube at the same flow rate conditions.
在现代热系统中,增强传热在节能选择中起着至关重要的作用。这些增强方法是无外部电源的被动方法,另一种是需要外部电源的主动方法。被动式方法是最受欢迎和最佳节能选择,使系统更有效和高效。被动方法的最新进展是一种由改变流体容器和阻塞流体通道组成的复合方法。在主流的研究中,圆管是在扭曲管的轮廓上形成的,在扭曲管内放置扭曲条。由于在该区域流体的扭转运动,扭曲管导致在该管表面附近的温度和速度梯度降低,而由于在扭曲管的中心部分存在扭曲条,流体的中心核心部分与加热表面完全相互作用。这种改进的流动系统在雷诺数从2500到17000的紊流环境中,利用空气作为流体增强了传热。本研究表明,在相同流量条件下,与普通管相比,平均改进比(ue/Nup)为1.25 ~ 3.9,平均摩擦因数比(fe/fp)为2.0 ~ 12.0。
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引用次数: 0
Unsteady aerodynamics of the control of three dimensional flow separation by morphing a wing surface 翼面变形控制三维流动分离的非定常空气动力学研究
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-10 DOI: 10.1016/j.euromechflu.2025.204348
Aritras Roy , Rinku Mukherjee
<div><div>The ability of a morphed wing to prevent 3D flow separation when operating at high angles of attack and when the flow past it is unsteady is investigated. The wing is morphed using an external skin attached to the leading edge of the wing, which takes the shape of the suction/top surface of the wing, when not in use. When required, the external skin is deployed but with a new shape, which is a morphed version of the top surface of the wing and has the ability to prevent flow separation. The shape of the external skin is predicted using a numerical algorithm developed for this purpose that couples an Unsteady Vortex Lattice Method with another in-house steady-state Vortex Lattice Method algorithm that uses a ‘decambering’ concept to ‘correct’ the local camberline to account for flow separation. Physical wing models are then fabricated along with the numerically predicted morphed surfaces to be attached externally at the leading edge and tested in the wind tunnel. Unsteady change in angle of attack is implemented using an in-house mechanism developed for this purpose, where the rate of change of angle of attack, <span><math><mrow><mfrac><mrow><mi>∂</mi><mi>α</mi></mrow><mrow><mi>∂</mi><mi>t</mi></mrow></mfrac><mo>=</mo><mover><mrow><mi>α</mi></mrow><mrow><mo>̇</mo></mrow></mover></mrow></math></span> is varied as <span><math><mrow><mn>0</mn><mo>.</mo><mn>1</mn><mo>°</mo><mo>/</mo><mi>s</mi><mo><</mo><mover><mrow><mi>α</mi></mrow><mrow><mo>̇</mo></mrow></mover><mo><</mo><mn>1</mn><mo>°</mo><mo>/</mo><mi>s</mi></mrow></math></span>. Unsteady aerodynamic characteristics like <span><math><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>L</mi></mrow></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mo>,</mo><msub><mrow><mi>C</mi></mrow><mrow><mi>D</mi></mrow></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mo>,</mo><msub><mrow><mi>C</mi></mrow><mrow><mi>M</mi></mrow></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></math></span> are measured for change in Reynolds number, <span><math><mrow><mn>0</mn><mo>.</mo><mn>045</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>6</mn></mrow></msup><mo><</mo><mi>R</mi><mi>e</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>1</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>6</mn></mrow></msup></mrow></math></span>. Flow visualization using smoke is conducted in the wind tunnel. CFD is also used to study such a morphing wing at high angles of attack including at post-stall. Spectral densities of the transient load data, <span><math><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>L</mi></mrow></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mo>,</mo><msub><mrow><mi>C</mi></mrow><mrow><mi>D</mi></mrow></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></math></span> and unsteady sectional lift coefficient, <span><math><mrow><msub><mrow><mi>C</mi></mrow><mrow><msub><mrow><mi>l</mi></mrow><mrow><mi>s</mi><mi>e</mi><mi>c</mi></mrow></msub></mrow></msub><mrow><mo>(</mo><mi>t
研究了变形翼在大迎角和非定常流经过变形翼时防止三维流动分离的能力。机翼在不使用时,使用附着在机翼前缘的外皮进行变形,外皮采用机翼吸力/顶部表面的形状。当需要时,外皮被展开,但具有新的形状,这是机翼顶部表面的变形版本,具有防止流动分离的能力。使用为此目的开发的数值算法来预测外表皮的形状,该算法将非定常涡点阵法与另一种内部稳态涡点阵法相结合,该算法使用“decamberding”概念来“纠正”局部凸轮轴,以解释流动分离。然后制作物理机翼模型,并将数值预测的变形表面附着在前缘外部,并在风洞中进行测试。迎角的非定常变化是使用为此目的开发的内部机制实现的,其中迎角的变化率∂α∂t=α ω为0.1°/s<α ω <1°/s。测量非定常气动特性CL(t)、CD(t)、CM(t)的雷诺数变化,0.045×106<Re<0.1×106。利用烟雾在风洞中进行了流动显示。CFD还用于研究大迎角(包括失速后)下的变形机翼。计算了瞬态载荷数据的谱密度CL(t)、CD(t)和非定常截面升力系数Clsec(t)。变形机翼的非定常分析也用于实现用户自定义设计2D Cl,以增强气动性能。
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The shape of the external skin is predicted using a numerical algorithm developed for this purpose that couples an Unsteady Vortex Lattice Method with another in-house steady-state Vortex Lattice Method algorithm that uses a ‘decambering’ concept to ‘correct’ the local camberline to account for flow separation. Physical wing models are then fabricated along with the numerically predicted morphed surfaces to be attached externally at the leading edge and tested in the wind tunnel. Unsteady change in angle of attack is implemented using an in-house mechanism developed for this purpose, where the rate of change of angle of attack, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;∂&lt;/mi&gt;&lt;mi&gt;α&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;∂&lt;/mi&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfrac&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mover&gt;&lt;mrow&gt;&lt;mi&gt;α&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;̇&lt;/mo&gt;&lt;/mrow&gt;&lt;/mover&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; is varied as &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;°&lt;/mo&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;&lt;&lt;/mo&gt;&lt;mover&gt;&lt;mrow&gt;&lt;mi&gt;α&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;̇&lt;/mo&gt;&lt;/mrow&gt;&lt;/mover&gt;&lt;mo&gt;&lt;&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;°&lt;/mo&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;. Unsteady aerodynamic characteristics like &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;L&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; are measured for change in Reynolds number, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;045&lt;/mn&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;mo&gt;&lt;&lt;/mo&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;&lt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;×&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;. Flow visualization using smoke is conducted in the wind tunnel. CFD is also used to study such a morphing wing at high angles of attack including at post-stall. Spectral densities of the transient load data, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;L&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and unsteady sectional lift coefficient, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;t","PeriodicalId":11985,"journal":{"name":"European Journal of Mechanics B-fluids","volume":"115 ","pages":"Article 204348"},"PeriodicalIF":2.5,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven correlations for thermohydraulic roughness properties 热液粗糙度特性的数据驱动相关性
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-08 DOI: 10.1016/j.euromechflu.2025.204355
Simon Dalpke , Jiasheng Yang , Pourya Forooghi , Bettina Frohnapfel , Alexander Stroh
The influence of rough surfaces on fluid flow is characterized by the downward shift in the logarithmic layer of velocity and temperature profiles, namely the velocity roughness function ΔU+ and the corresponding temperature roughness function ΔΘ+. Their computation relies on computational simulations, and hence a simple prediction without such simulation is envisioned. We present a framework where a data-driven model is developed using the dataset of Yang et al. 2023 [1] with 93 high-fidelity direct numerical simulations of a fully-developed turbulent channel flow at Reτ800 and Pr=0.71. The model provides robust predictive capabilities (mean squared error MSEk=0.09 and MSEθ=0.096), but lacks interpretability. Simplistic statistical roughness parameters provide a more understandable route, so the framework is extended with a symbolic regression approach to distill an empirical correlation from the data-driven model. The derived expression leads to a predictive correlation for the equivalent sand-grain roughness ks=k99(ESx(ESx+Sk+2.37)+0.772) with reasonable predictive powers. The predictive capability of the temperature roughness function is subject to limitations due to the missing Prandtl number variation in the dataset. Nevertheless, the interpretable correlation and the neural network as well as the original dataset can be used to explore the roughness functions. The functional form of the derived correlations, along with visual analysis of these surfaces, suggests a strong relationship with roughness wavelengths, further linking them to explanations based on sheltered and windward regions.
粗糙表面对流体流动的影响表现为速度和温度剖面的对数层向下移动,即速度粗糙度函数ΔU+和相应的温度粗糙度函数ΔΘ+。他们的计算依赖于计算模拟,因此没有这种模拟的简单预测被设想。我们提出了一个框架,其中使用Yang等人的数据集开发了一个数据驱动模型,该数据集使用了93个高保真直接数值模拟,模拟了Reτ≈800和Pr=0.71时完全发育的湍流通道流动。该模型具有较强的预测能力(均方误差MSEk=0.09, MSEθ=0.096),但缺乏可解释性。简单的统计粗糙度参数提供了一个更容易理解的途径,因此该框架扩展了一个符号回归方法,从数据驱动的模型中提取经验相关性。导出的表达式使等效沙粒粗糙度ks=k99(ESx(−ESx+Sk+2.37)+0.772)具有合理的预测能力。由于数据集中缺少普朗特数变化,温度粗糙度函数的预测能力受到限制。然而,可以使用可解释相关性和神经网络以及原始数据集来探索粗糙度函数。推导出的相关性的功能形式,以及对这些表面的视觉分析,表明了粗糙度波长的强烈关系,进一步将它们与基于遮蔽和迎风区域的解释联系起来。
{"title":"Data-driven correlations for thermohydraulic roughness properties","authors":"Simon Dalpke ,&nbsp;Jiasheng Yang ,&nbsp;Pourya Forooghi ,&nbsp;Bettina Frohnapfel ,&nbsp;Alexander Stroh","doi":"10.1016/j.euromechflu.2025.204355","DOIUrl":"10.1016/j.euromechflu.2025.204355","url":null,"abstract":"<div><div>The influence of rough surfaces on fluid flow is characterized by the downward shift in the logarithmic layer of velocity and temperature profiles, namely the velocity roughness function <span><math><mrow><mi>Δ</mi><msup><mrow><mi>U</mi></mrow><mrow><mo>+</mo></mrow></msup></mrow></math></span> and the corresponding temperature roughness function <span><math><mrow><mi>Δ</mi><msup><mrow><mi>Θ</mi></mrow><mrow><mo>+</mo></mrow></msup></mrow></math></span>. Their computation relies on computational simulations, and hence a simple prediction without such simulation is envisioned. We present a framework where a data-driven model is developed using the dataset of Yang et al. 2023 <span><span>[1]</span></span> with 93 high-fidelity direct numerical simulations of a fully-developed turbulent channel flow at <span><math><mrow><mi>R</mi><msub><mrow><mi>e</mi></mrow><mrow><mi>τ</mi></mrow></msub><mo>≈</mo><mn>800</mn></mrow></math></span> and <span><math><mrow><mi>P</mi><mi>r</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>71</mn></mrow></math></span>. The model provides robust predictive capabilities (mean squared error <span><math><mrow><msub><mrow><mtext>MSE</mtext></mrow><mrow><mi>k</mi></mrow></msub><mo>=</mo><mn>0</mn><mo>.</mo><mn>09</mn></mrow></math></span> and <span><math><mrow><msub><mrow><mtext>MSE</mtext></mrow><mrow><mi>θ</mi></mrow></msub><mo>=</mo><mn>0</mn><mo>.</mo><mn>096</mn></mrow></math></span>), but lacks interpretability. Simplistic statistical roughness parameters provide a more understandable route, so the framework is extended with a symbolic regression approach to distill an empirical correlation from the data-driven model. The derived expression leads to a predictive correlation for the equivalent sand-grain roughness <span><math><mrow><msub><mrow><mi>k</mi></mrow><mrow><mtext>s</mtext></mrow></msub><mo>=</mo><msub><mrow><mi>k</mi></mrow><mrow><mtext>99</mtext></mrow></msub><mrow><mo>(</mo><mi>E</mi><msub><mrow><mi>S</mi></mrow><mrow><mi>x</mi></mrow></msub><mrow><mo>(</mo><mo>−</mo><mi>E</mi><msub><mrow><mi>S</mi></mrow><mrow><mi>x</mi></mrow></msub><mo>+</mo><mi>S</mi><mi>k</mi><mo>+</mo><mn>2</mn><mo>.</mo><mn>37</mn><mo>)</mo></mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>772</mn><mo>)</mo></mrow></mrow></math></span> with reasonable predictive powers. The predictive capability of the temperature roughness function is subject to limitations due to the missing Prandtl number variation in the dataset. Nevertheless, the interpretable correlation and the neural network as well as the original dataset can be used to explore the roughness functions. The functional form of the derived correlations, along with visual analysis of these surfaces, suggests a strong relationship with roughness wavelengths, further linking them to explanations based on sheltered and windward regions.</div></div>","PeriodicalId":11985,"journal":{"name":"European Journal of Mechanics B-fluids","volume":"115 ","pages":"Article 204355"},"PeriodicalIF":2.5,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Role of insoluble surfactant on electrohydrodynamic stability of a two-layer plane Poiseuille flow: An asymptotic analysis 不溶性表面活性剂对两层平面泊泽维尔流电流体动力稳定性的作用:渐近分析
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-08 DOI: 10.1016/j.euromechflu.2025.204356
Sarita Yadav, Geetanjali Chattopadhyay
The electrohydrodynamic stability of a two-layer plane Poiseuille flow has been considered under the influence of an electric field acting normally to the interface of the two viscous immiscible fluids. The two fluids considered here for the asymptotic stability analysis are leaky dielectrics. The study on the influence of a monolayer of insoluble surfactant at the fluid-fluid interface reveals that the interfacial surfactant further enhances or suppresses the electric field-induced instability. The long-wave linear stability analysis is carried out in the framework of Orr–Sommerfeld analysis for leaky dielectrics. In the context of long-wave linear stability study, the phase speed is expressed as a function of the ratio of viscosities (m), layer thicknesses (d), densities (r), permittivities (ɛ) and conductivities (l) of the two fluids. The electric field is observed to have either a destabilizing or a stabilizing effect, primarily non-monotonic, depending upon the ratios of permittivities and conductivities of the two fluids. It is found that when m>d2, the region of instability in the ɛl plane increases with increasing Marangoni number (Ma); however, when m<d2, the scenario reverses. The electrohydrodynamic interface instability among two viscous fluids with varying electrical properties in plane Poiseuille flow has applications in microfluidic devices for mixing and droplet formation. Therefore, the present study aims to propose a control mechanism for the instability occurring at the interface through the modified interface tension.
考虑了电场作用于两种粘性非混相流体界面作用时两层平面泊泽维尔流的电流体动力稳定性。这里用于渐近稳定性分析的两种流体是漏电介质。研究了单层不溶性表面活性剂对液-液界面的影响,发现界面表面活性剂进一步增强或抑制了电场诱导的不稳定性。在Orr-Sommerfeld分析的框架下,对漏电介质进行了长波线性稳定性分析。在长波线性稳定性研究的背景下,相速度表示为两种流体的粘度(m)、层厚度(d)、密度(r)、介电常数(r)和电导率(l)之比的函数。观察到电场具有不稳定或稳定的作用,主要是非单调的,取决于两种流体的介电常数和电导率的比值。结果表明,当m>;d2时,随着Marangoni数(Ma)的增加,平面内的不稳定区域增大;然而,当m<;d2时,情况正好相反。平面泊泽维尔流动中两种不同电学性质的粘性流体之间的电流体动力学界面不稳定性在混合和液滴形成的微流体装置中具有应用价值。因此,本研究旨在提出一种通过改变界面张力来控制界面失稳的机制。
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引用次数: 0
Flow over airfoil model covered by bio-inspired herringbone riblets 流动超过翼型模型覆盖的仿生人字形纹
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-07 DOI: 10.1016/j.euromechflu.2025.204365
Haoxiang He, Honglei Bai, Shixiong Zhang, Zan Zhang
Flight feathers of birds are featured by the typical herringbone pattern, which is consisted of a central shaft and divergent barbs on both sides. In this work, bio-inspired herringbone riblets are embedded into the suction side of a NACA0012 airfoil model, with an attempt to explore their roles on the flow and fluid force. Experiments are conducted in a water tunnel at a Reynolds number of Re = 2 × 105, based on incoming freestream velocity and airfoil cord length c. While the lift and drag forces of the airfoil model are measured by a load cell, flow fields over the suction side of the airfoil model are captured by the particle image velocimetry (PIV) technique. The herringbone-ribbed suction side of the airfoil model is defined by the divergent angle β (= 60°) of the riblets, the spanwise wavelength λ (= 0.2c and 0.4c) of the repeating herringbone pattern, as well as the riblet height h (= 0.6 %c and 1.2 %c). Results from the force measurements reveal that the airfoil models with the herringbone-ribbed suction side outperform their smooth counterparts and the baseline NACA0012 model, with the stall being significantly postponed from 10° to over 16° while the maximum time-mean lift coefficient being remained nearly unaffected. This is attributed to the transition from laminar to turbulent boundary layers, thus associated with substantially suppressed flow separation, over the airfoil models with the bio-inspired riblets being covered on the suction side. On the other hand, it is observed that the time-mean lift coefficient is considerably reduced whilst the drag coefficient is marginally increased at the angle of attack α < 12° for the airfoil models with the bio-inspired riblets being covered on the suction side, compared with those of their smooth counterparts and the baseline NACA0012 model.
鸟类的飞行羽毛具有典型的人字形图案,由一个中心轴和两侧发散的倒刺组成。在这项工作中,仿生人字纹嵌入到NACA0012翼型模型的吸力侧,试图探索它们在流动和流体力方面的作用。实验是在一个水隧道在雷诺数Re = 2 × 105,基于进入的自由流速度和翼型帘线长度c。而升力和阻力的翼型模型是由称重传感器测量,流场在吸力侧的翼型模型是由粒子图像测速(PIV)技术捕获。翼型模型的人字肋吸力侧由细纹的发散角β(= 60°)、重复人字纹的展向波长λ (= 0.2c和0.4c)以及细纹高度h(= 0.6 %c和1.2 %c)定义。从力测量的结果显示,翼型模型与人字肋吸力侧优于光滑的同行和基线NACA0012模型,与失速被显著推迟从10°超过16°,而最大时间平均升力系数保持几乎不受影响。这归因于从层流到湍流边界层的过渡,因此与实质上抑制的流动分离有关,在翼型模型上,仿生纹被覆盖在吸力侧。另一方面,它是观察到,时间平均升力系数大大减少,而阻力系数边际增加在迎角α <; 12°的翼型模型与生物启发的条纹被覆盖在吸力侧,与那些光滑的同行和基线NACA0012模型相比。
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引用次数: 0
How safe are magnetic fields in enhancing drug delivery in ocular treatment? Hydrodynamic aspects 磁场在眼部治疗中增强药物传递的安全性如何?水动力方面
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-09-02 DOI: 10.1016/j.euromechflu.2025.204345
Deepak Kumar, Subramaniam Pushpavanam
Aqueous humor dynamics is responsible for maintaining intraocular pressure, ocular health and targeted drug delivery within the eye. This study investigates the flow of AH within the anterior chamber under the combined influence of a uniform magnetic field and natural convection. Different orientations of the magnetic field and temperature gradient are considered. A lubrication approximation is employed and the resulting equations are solved using regular perturbation method. The analytical solutions are validated using numerical simulations performed in COMSOL Multiphysics 6.2protect relax special {t4ht=®}. In the standing position, AH flow field is characterized by a single vortex, while in the supine position, it forms two counter-rotating vortices. The velocity is found to be higher in standing position. The effect of a uniform magnetic field on the velocity is more significant in the supine position. The magnetic field does not change the flow field qualitatively as buoyancy is the primary driving force. In the standing position a magnetic field oriented perpendicular to the eye resulted in a greatest reduction of AH velocity, as compared to a magnetic field along the eye. The use of magnetic fields is being considered as a disruptive technology in ocular treatment. This study establishes that magnetic fields provide a holistic approach for targeted drug delivery in ocular treatment. They can be used without fear of any risks as the flow patterns in AH are not qualitatively modified.
房水动力学负责维持眼压、眼健康和眼内靶向药物输送。本研究考察了均匀磁场和自然对流共同作用下前房AH的流动情况。考虑了不同方向的磁场和温度梯度。采用润滑近似,用正则摄动法求解得到的方程。利用COMSOL Multiphysics 6.2protect relax special {t4ht=®}进行的数值模拟验证了解析解的有效性。在站立位置时,AH流场的特征为单个涡,而在仰卧位置时,它形成两个反向旋转的涡。发现站姿时速度更高。平卧位时,均匀磁场对速度的影响更为显著。由于浮力是主要的驱动力,磁场不会对流场产生质的改变。与沿眼睛方向的磁场相比,在站立位置垂直于眼睛方向的磁场导致AH速度的最大降低。磁场的使用被认为是眼部治疗中的一项颠覆性技术。本研究确定磁场为眼部治疗的靶向药物递送提供了一种整体方法。它们可以使用而不必担心任何风险,因为AH中的流模式没有进行定性修改。
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引用次数: 0
Simulation of mixed convection in a nanofluid-filled cavity with inner hot permeable block: A two-phase MRT-LBM approach 具有内热渗透块的纳米流体填充腔的混合对流模拟:两相MRT-LBM方法
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-08-30 DOI: 10.1016/j.euromechflu.2025.204354
Dhrubajyoti Kashyap
This study explores the intricate dynamics of a mixed convection phenomenon in a cavity filled with nanofluid while employing a novel approach based on the two-phase lattice Boltzmann method (LBM) with multiple-relaxation-time (MRT). The introduction of a permeable hot square block with blockage ratios (BR) of 0.25 and 0.5 further augmenting the complexity of the phenomena. The current research aims to evaluate the effectiveness of the two-phase MRT-LBM approach in analyzing the slip mechanisms of nanofluids and drag forces within porous media, while making rigorous validation against established experimental and numerical benchmarks. A comprehensive parametric study is conducted by varying the nanoparticle concentration of Al2O3/water nanofluid (φ0.03), Richardson numbers (0.1Ri10), and permeability of the inner block (10−2 Da 10−6) to assess their impact on flow structure, thermal field, and entropy distribution. The results demonstrate that increasing φ enhances thermal conductivity and improves heat transfer, while simultaneously increasing viscous dissipation and entropy generation. Permeability plays a crucial role in governing flow penetration and heat transfer performance, transitioning the system from conduction- to convection-dominated regimes. The blockage ratio critically impacts performance: at low Ri, BR = 0.5 boosts heat transfer through enhanced shear and localized thermal gradients, whereas at high Ri, BR = 0.25 improves efficiency by minimising flow resistance and promoting smoother circulation. The outcome of this research sheds light on the interactions between the permeable block, nanofluid, and mixed convection effects and reveals that nanofluid usage can be thermodynamically advantageous under optimised flow conditions.
本研究采用了一种基于多松弛时间(MRT)两相晶格玻尔兹曼方法(LBM)的新方法,探讨了纳米流体填充腔中混合对流现象的复杂动力学。引入堵塞比(BR)为0.25和0.5的可渗透热方块进一步增加了现象的复杂性。目前的研究旨在评估两相MRT-LBM方法在分析纳米流体滑移机制和多孔介质内阻力方面的有效性,同时根据已建立的实验和数值基准进行严格验证。通过改变Al2O3/水纳米流体的纳米颗粒浓度(φ≤0.03)、理查德森数(0.1≤Ri≤10)和内块体渗透率(10−2≤Da≤10−6)进行综合参数研究,评估其对流动结构、热场和熵分布的影响。结果表明,φ的增大提高了导热系数,改善了换热,同时增加了粘性耗散和熵的产生。渗透率在控制流动渗透和传热性能方面起着至关重要的作用,将系统从传导主导转变为对流主导。堵塞比对性能有关键影响:在低Ri时,BR = 0.5通过增强剪切和局部热梯度来促进传热,而在高Ri时,BR = 0.25通过最小化流动阻力和促进更顺畅的循环来提高效率。这项研究的结果揭示了可渗透块体、纳米流体和混合对流效应之间的相互作用,并揭示了在优化的流动条件下,纳米流体的使用在热力学上是有利的。
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引用次数: 0
Interaction of water waves with an array of permeable horizontal submerged cylinders 水波与一系列可渗透的水平水下圆柱体的相互作用
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-08-27 DOI: 10.1016/j.euromechflu.2025.204353
Ataollah Gharechae, Mohammad Reza Negahdari, Mehdi Rezapour
This study explores the hydrodynamic interaction of water waves with arrays of submerged horizontal permeable cylinders using Darcy's law and linear wave theory. A semi-analytical model, based on the eigenfunction expansion method, is developed to investigate wave attenuation, added mass, and damping coefficients. The developed model is validated against results from the existing literature. The analysis investigates the effects of permeability, submergence depth, and wave characteristics — including the dimensionless wavenumber (Ka, where K is the wavenumber, and a denotes the cylinder radius) and porosity parameter (G0). The findings demonstrate that wave attenuation is most effective at moderate permeability (G0=0.5) and wavenumbers in the range Ka=0.3 to 0.5, achieving energy dissipation levels of approximately 20 %. At higher permeability (G05), wave attenuation and damping coefficients approach zero, as the cylinders behave almost as if they were absent. The added mass decreases with increasing permeability and becomes nearly constant for Ka>1. Notably, damping coefficients for intact cylinders are generally higher than those of permeable cylinders near the free surface, except at Ka=0.5, where minimum damping occurs. These findings offer valuable guidance for optimizing the design of permeable marine structures, including wave dissipators, aquaculture systems, and offshore infrastructure, by tailoring permeability and geometry for enhanced performance and durability.
本研究利用达西定律和线性波理论探讨了水波与水下水平可渗透圆柱体阵列的水动力相互作用。建立了基于特征函数展开法的半解析模型,研究了波衰减、附加质量和阻尼系数。根据现有文献的结果验证了所开发的模型。该分析考察了渗透率、淹没深度和波特性的影响,包括无量纲波数(Ka,其中K为波数,a表示圆柱体半径)和孔隙度参数(G0)。研究结果表明,在中等渗透率(G0=0.5)和波数Ka=0.3 ~ 0.5范围内,波衰减最有效,能量耗散水平约为20%。在高渗透率(G0≥5)下,波衰减和阻尼系数接近于零,因为圆柱体的行为几乎就像不存在一样。增加的质量随着渗透率的增加而减小,在Ka>;1中趋于恒定。值得注意的是,除了Ka=0.5时阻尼最小外,完整圆柱体的阻尼系数一般高于靠近自由表面的透水圆柱体。这些发现为优化透水性海洋结构的设计提供了有价值的指导,包括消波器、水产养殖系统和海上基础设施,通过调整透水性和几何形状来提高性能和耐久性。
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引用次数: 0
Application of the Db-PINN model in predicting hydraulic jump flow fields under different Froude numbers Db-PINN模型在不同弗劳德数下水跃流场预测中的应用
IF 2.5 3区 工程技术 Q2 MECHANICS Pub Date : 2025-08-27 DOI: 10.1016/j.euromechflu.2025.204352
Ziyuan Xu , Shenglong Gu , Hang Wang
We propose a hybrid model driven by both data and physics, termed Double-branched Physics-Informed Neural Network (Db-PINN), which enhances the synergy between data-driven and physical mechanisms methods, effectively improving the accuracy of predicting the hydraulic jump flow field and energy dissipation rate. The core architecture of the model is based on Convolutional Neural Networks (CNNs), which extract detailed features of the hydraulic jump flow field. In combination with a branch network, Deep Neural Networks (DNNs) are used to compute the residuals of partial differential equations, ensuring adherence to physical laws. Additionally, considering hardware resource constraints, the Db-PINN model incorporates a mini-batch algorithm to reduce dependence on GPU memory size, thus meeting the model’s need to process large-scale datasets. When compared to numerical simulation results, the model demonstrates high accuracy and generalization capability in predicting the velocity distribution and turbulence characteristics of the hydraulic jump flow field.
本文提出了一种数据和物理驱动的混合模型,即双分支物理信息神经网络(Db-PINN),该模型增强了数据驱动和物理机制方法之间的协同作用,有效地提高了水跃流场和能量耗散率的预测精度。该模型的核心架构是基于卷积神经网络(Convolutional Neural Networks, cnn),它提取了水跃流场的详细特征。与分支网络相结合,深度神经网络(dnn)用于计算偏微分方程的残差,确保遵守物理定律。此外,考虑到硬件资源的限制,Db-PINN模型结合了一个mini-batch算法,以减少对GPU内存大小的依赖,从而满足模型处理大规模数据集的需要。与数值模拟结果相比,该模型对水跃流场速度分布和湍流特性的预测具有较高的准确性和通用性。
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引用次数: 0
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European Journal of Mechanics B-fluids
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