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        <title>Frontiers in Mechanical Engineering | Fluid Mechanics section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/mechanical-engineering/sections/fluid-mechanics</link>
        <description>RSS Feed for Fluid Mechanics section in the Frontiers in Mechanical Engineering journal | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-05-13T11:29:17.626+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2026.1774150</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2026.1774150</link>
        <title><![CDATA[Wall shear stress in ibidi µ-slide VI0.4: an application note]]></title>
        <pubdate>2026-05-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Sophia Krakowski</author><author>Henri Wolff</author><author>Felix Hehnen</author><author>Michael Lommel</author><author>Ulrich Kertzscher</author><author>Paul Friedrich Geus</author>
        <description><![CDATA[BackgroundWall shear stress (WSS), defined as the product of the wall shear rate and dynamic viscosity, is a key regulator of vascular biology. In vivo, WSS ranges from <1 Pa in veins to >100 Pa in stenotic vessels. It influences hemostasis, thrombosis, atherosclerosis and endothelial cell behavior by modulating platelet deposition, ion channel activation and gene expression. To study these processes in vitro, flow chambers such as the ibidi µ-Slide VI0.4 are widely used, enabling cell culture under defined shear stress and live-cell imaging. While typically applied at WSS ≤1 Pa, usage with higher stresses have also been reported in literature. During our experiments, however, we observed inhomogeneous flow in the ibidi µ-Slide VI0.4.MethodsTo confirm these observations, a Computational Fluid Dynamic simulation of the flow chamber was conducted. The simulation was first validated by PIV experiments in the center layer of the channel at two different volume flows. The results were compared to the numerical simulation and the analytical results, which are based on the manufacturer’s application note with reference to literature.ResultsIn contrast to the analytical results and the manufacturer’s specifications, the numerical results show velocity variations in the center layer of the channel, which increase with higher volume flow. This phenomenon is confirmed by experimental data. Simulation of the WSS on the channel bottom shows that, at low volume flows, WSS is relatively homogeneous and matches expected values. However, inhomogeneities increase with higher flow above 23.66 mL/min, where the deviation from the expected WSS is 10%. The data also reveal relatively high WSS near the lateral walls of the channel as well as increased velocities near the channel bottom at the inlet area. This results in secondary flow and inhomogeneous velocities at the wall along the channel.ConclusionThis study highlights limitations of the ibidi µ-Slide VI0.4 at elevated WSS. The findings indicate that increasing volume flow leads to heterogeneous wall conditions, which may strongly influence cell experiments.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2026.1798368</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2026.1798368</link>
        <title><![CDATA[Physics-guided machine learning for predicting wind pressure on a vibrating square prism]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yingying He</author><author>Yu Zhang</author><author>Likai Zhang</author><author>Guoqing Li</author><author>Chunlun Jiang</author><author>Zhengquan Li</author><author>Wenwu Li</author>
        <description><![CDATA[Obtaining the pressure field in a flow field is essential for fluid dynamics analysis because pressure is associated with different flow phenomena. Existing machine learning algorithms in wind engineering are incapable of accurately predicting the pressure distribution on a vibrating square prism. To address the above issues, this study proposes a Physics-guided MLDMD-MSCNN framework to predict surface pressure of a vibrating structure using an instantaneous flow field. It integrates Machine Learning-enhanced Dynamic Mode Decomposition and Multi-scale Convolutional Neural Network. For the proposed MLDMD-MSCNN, the MLDMD component analyzes unsteady fluid flows around a vibrating square prism, identifying modes with physical information. Subsequently, the MSCNN component efficiently captures spatial features from physical modes and successfully predicts pressure on surfaces of a vibrating square prism. The experimental result indicates that the MLDMD-MSCNN framework predicts mean and fluctuating pressure on a vibrating square prism with a mean square error of 4.2 × 10−3 and 1 × 10−4, respectively, demonstrating the framework’s excellent accuracy and suitability to complex and nonlinear vibrations. Compared with mainstream models, the MLDMD-MSCNN framework outperforms seven benchmark machine learning algorithms by improving at least 200% in mean square error. Due to its data-driven approach, the MLDMD-MSCNN can be applied to experimental, numerical, and even field data, making it an appealing tool for wind engineering applications.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2026.1809868</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2026.1809868</link>
        <title><![CDATA[Correction: Analysis of fluid flow across a 2D bluff body in a tandem arrangement with varying aspect ratios near a moving wall]]></title>
        <pubdate>2026-04-07T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Pawan Kumar Pant</author><author>Sunil Chamoli</author><author>Naval Pant</author><author>Hitesh Joshi</author><author>Saurav Rana</author><author>Manoj Kumar Pathak</author><author>Varesa Chuwattanakul</author><author>Smith Eiamsa-ard</author>
        <description></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2026.1780728</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2026.1780728</link>
        <title><![CDATA[Design of a micrometer-scale multilayer air filter]]></title>
        <pubdate>2026-03-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Fenglong Yin</author><author>Yuehao Li</author><author>Xinyi Zhang</author><author>Yanxia Li</author><author>Xiaodong Liang</author>
        <description><![CDATA[We constructed a micrometer-scale, multilayer air filter structure for use in dangerous gas pipelines based on the design requirements of low pressure drop, high sealing, compact filter components, and micrometer-scale air particles. The novelty of this study lies in the filter structure design that achieves reasonable pressure drop control. First, we designed the inner and outer diameter parameters of the filter and modeled the corresponding structure. Based on these parameters, we simulated and analyzed the influences of the filter layer number and air gap thickness on the filter efficiency and pressure drop using the finite element method; accordingly, we determined the multilayer filter design required to achieve high efficiency and low pressure drop. We found the filter performance to be optimal when the air gap thickness was 25 mm, and the number of filter stages was 7; these criteria were used to design and manufacture the filter. Finally, the effectiveness of the high-efficiency, low-pressure-drop micrometer-scale air filter design was verified through tests on the pressure drop of a gas pipeline; we noted that the pressure drop was maintained at 5.25 kPa during the experiments, which was in good agreement with the simulation results.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2026.1740843</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2026.1740843</link>
        <title><![CDATA[Considering surface roughness O-ring lubricating-oil static seal leakage prediction via optimized circular plate gap model]]></title>
        <pubdate>2026-03-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zhengquan Wu</author><author>Guo-hai Zhuo</author>
        <description><![CDATA[IntroductionO-ring seals are critical to ensuring the reliability of mechanical systems under harsh operating conditions. However, the classical parallel plate leakage model often neglects the effects of surface roughness and radial pressure distribution, leading to insufficient prediction accuracy. This study addresses this limitation by extending the classical parallel plate leakage theory to develop an optimized circular plate gap leakage model for O-rings.MethodsA leakage rate correction factor μ 1 is introduced to quantify the effect of surface roughness, establishing an equivalent relationship between the micro-scale rough interface and the ideal smooth surface. The leakage rates of rough surfaces with different roughness levels under various differential pressures are theoretically calculated. Experimental validation is carried out under differential pressures of 0.3 MPa and 0.6 MPa, as well as surface roughness Ra values of 0.8 μm, 1.6 μm, and 3.2 μm.ResultsAt a differential pressure of 0.4 MPa, the leakage rate reaches 0.67 × 10 −12 m 3 /s when Ra = 3.2μm , which is 1.8 times that of the case with Ra = 0.8μm. Experimental results show that: (1) At the same surface roughness, the cumulative leakage volume increases with the increase of differential pressure; when Ra = 1.6μm, the cumulative leakage volume at 0.6 MPa is approximately 1.5 times that at 0.3 MPa. (2) At the same differential pressure, a larger Ra results in a higher cumulative leakage volume; at 0.3 MPa, the cumulative leakage volume at Ra = 3.2μm is about 1.7 times that at Ra = 0.8μm. Overall, the leakage rate increases almost linearly with the increase of both differential pressure and surface roughness. The relative error between theoretical and experimental values is within 15%.DiscussionThe relative error within 15% confirms the reliability of the proposed model. However, uncertainties in the model primarily stem from unaccounted factors, including high temperature, long-term O-ring aging, extreme high pressure, and idealized model assumptions. Consequently, the model is only valid under conditions of room temperature, low pressure, and short-term service. Nevertheless, this work provides a robust analytical framework for O-ring leakage prediction and sealing performance optimization in engineering applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2026.1761460</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2026.1761460</link>
        <title><![CDATA[Propagation characteristics of H2–air detonations in double-bend ducts]]></title>
        <pubdate>2026-02-10T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yuhan Wang</author><author>Chun Zheng</author><author>Huanhao Zhang</author><author>Zhihua Chen</author>
        <description><![CDATA[Detonation transmission through compact piping and transition cavities is frequently limited by diffraction-induced shock–flame decoupling, which can lead to either recovery or complete failure depending on the available confinement and reflection history. To clarify these competing outcomes, detonation diffraction, quenching, and re-initiation in a double-bend duct with a variable-width cavity are examined numerically. High-resolution simulations were conducted for gaseous detonations propagating through a double-bend duct containing cavities of different widths. The coupled evolution of the leading shock and the reaction zone was diagnosed using numerical schlieren fields together with pressure and temperature histories to resolve reflection processes and local ignition events. Three propagation regimes were identified, primarily controlled by cavity width. In narrow cavities, the diffraction interval remains short, so the partially decoupled structure is repeatedly reinforced by wall reflections; reflection-induced high-pressure spots can intersect the nearby flame front and maintain a fully coupled (often overdriven) detonation. For intermediate widths, the wave approaches near-failure, yet re-initiation occurs when a reflected shock catches the adjacent flame and a stable triple-wave configuration is established, restoring self-sustained propagation. In wide cavities, prolonged shock -flame separation and strong rarefaction prevent effective shock–flame interaction; the nascent ignition kernel is quenched and global failure follows. The results indicate that recovery hinges on the spatiotemporal alignment between reflection-generated high-pressure regions and the displaced flame front, while geometric expansion governs whether such alignment is achievable. These findings provide mechanistic guidance for designing transition sections in pre-detonators, flame-arresting elements, and detonation-based propulsion ducts by constraining expansion severity and promoting timely shock–flame intersection.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1727981</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1727981</link>
        <title><![CDATA[Analysis of fluid flow across a 2D bluff body in a tandem arrangement with varying aspect ratios near a moving wall]]></title>
        <pubdate>2026-02-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Pawan Kumar Pant</author><author>Sunil Chamoli</author><author>Naval Pant</author><author>Hitesh Joshi</author><author>Saurav Rana</author><author>Manoj Kumar Pathak</author><author>Varesa Chuwattanakul</author><author>Smith Eiamsa-ard</author>
        <description><![CDATA[This study numerically investigates the flow characteristics around single and tandem cylinders positioned in close proximity to a moving wall at a Reynolds number of Re = 100. Using the finite volume method, simulations were performed for aspect ratios (AR) ranging from 1 to 5, while maintaining a fixed gap ratio (G/A = 0.5) and spacing ratio (S/A = 0.5). The results demonstrate that the moving wall significantly influences flow dynamics and stabilizes the wake. For an aspect ratio of 1, the merging of shear layers leads to the formation of elongated, steady vortices. As the aspect ratio increases from 2 to 5, the wake becomes increasingly smooth and the magnitude of positive vortices decreases, resulting in steady wake formation without significant oscillations. Force analysis reveals that the upstream cylinder exhibits chaotic drag (Cd) and lift (CL) coefficients, whereas the downstream cylinder shows a consistent trend. Notably, the upstream cylinder maintains a higher drag coefficient than the downstream cylinder, with both being lower than that of a single isolated cylinder. The observed suppression of vortex shedding is primarily attributed to the interaction and coupling of shear layers between the moving wall and the cylinders, identifying shear alignment rather than viscous damping as the core mechanism of wake control.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1651334</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1651334</link>
        <title><![CDATA[Fluid flow and mass transport along a microchannel with physics-informed neural networks]]></title>
        <pubdate>2026-01-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Mehmet Melih Tatlisoz</author><author>Cetin Canpolat</author>
        <description><![CDATA[IntroductionIn the present study, fluid and mass transport along a microchannel are aimed to be solved using physics-informed neural networks (PINN), which is an emerging solution method for partial differential equations (PDEs). For verification purposes, the same cases under identical conditions are modeled with a solver for finite element analysis (FEA), COMSOL Multiphysics.Materials and methodsContinuity, Navier-Stokes, and Nernst-Planck Equations, which characterize momentum and mass conservation, are solved simultaneously by PINN as well as COMSOL Multiphysics. The problems are defined as steady or time-dependent with varying Reynolds numbers in the interval of 5 × 10−6 ≤ Re ≤ 5 × 10−2. The fluid is flowed by either pressure-driven or electrokinetically-driven. PDEs are nondimensionalized by scaling the quantities for PINN solving on the purpose of alleviating the computational burden. In contrast to usual approach, where the pressure scale is viscosity multiplied by the velocity scale divided by the length scale, pressure scale is determined as its maximum value.Results and discussionCalculation errors of PINN solver are observed as reasonably low, such as 3.04 × 10−5, 4.76 × 10−3, 3.60 × 10−4, 6.02 × 10−3 for steady pressure-driven flow, time-dependent pressure-driven flow, steady electroosmotic flow, and time-dependent electroosmotic flow, respectively. To reduce the error margin at these values, pressure scale must be defined as the maximum pressure value. Therefore, the results of the FEA solver exhibit excellent overlap with the data obtained from PINN. For PINN, species concentrations of 0.52–1.75–2.71–3.36 mol/m3 are accumulated at the outlet under pressure-driven flow for time points 50–100–150–200 seconds, respectively. Under electrokinetic flow, species concentrations are varied as 0.72–1.93–2.83–3.46 mol/m3 for the same time points, respectively. In consideration of FEA, species concentrations are calculated as 0.52–1.75–2.71–3.39 mol/m3 and 0.55–1.85–2.84–3.52 mol/m3 under similar conditions for pressure-driven and electroosmotic flows, respectively.ConclusionBoth Navier-Stokes and Nernst-Planck Equations can be solved with PINN in a single model, regardless of the flow generation method and the time dependency of the model. Because nearly identical calculations are carried out by the FEA solver. As a result, PINN is a notable alternative for simultaneous modeling of the flow and mass transport under pressure-driven and electrokinetic conditions for microfluidic applications.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1717775</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1717775</link>
        <title><![CDATA[Quantum Lattice Boltzmann Method based on linear equilibrium distribution functions]]></title>
        <pubdate>2026-01-16T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zhengliang Liu</author><author>Benzi John</author><author>David R. Emerson</author>
        <description><![CDATA[In this paper, we propose a complete formulation of the Lattice Boltzmann Method adapted for quantum computing. The classical collision, based on linear equilibrium distribution functions and streaming steps, are reformulated as linear algebraic operations. The inherently non-unitary collision operator is decomposed using Singular Value Decomposition and the Linear Combination of Unitaries technique. Bounce-back boundary conditions are incorporated directly into the collision matrix, while the streaming step is realized through conditional unitary shift operations on spatial registers, controlled by lattice velocity indices encoded in the distribution function register. This formulation ensures that the streaming step remains purely unitary. The resulting quantum circuit is implemented using Qiskit and validated against Couette flow and Poiseuille flow benchmarks. The simulation accurately reproduces the expected velocity profile, with relative errors below 10−4. This work establishes a foundational framework for quantum fluid solvers and provides a pathway toward quantum computational fluid dynamics.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1710934</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1710934</link>
        <title><![CDATA[Application of Transformer neural networks for the classification of two-phase oil–water flow patterns in horizontal pipelines]]></title>
        <pubdate>2026-01-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Leider Quintero-Arias</author><author>Carlos Mauricio Ruiz-Diaz</author><author>July A. Gómez-Camperos</author><author>Oscar M. H. Rodriguez</author><author>Aldo Pardo-Garcia</author>
        <description><![CDATA[The identification of flow patterns in multiphase systems is crucial in hydrocarbon production engineering, as they determine the behavior of crude oil transport through pipelines and flowlines in oil fields. Proper classification of these patterns contributes to improved hydraulic design, optimal selection of separation equipment, and effective field operation strategies. This study proposes a model based on a Transformer neural network for identifying flow patterns in two-phase liquid–liquid (water–oil) systems in horizontal pipelines. A database containing 2,146 data points was used, including variables such as pipe diameter, mixture velocity, superficial velocities of each phase, and oil viscosity. The results show excellent model performance, with accuracies of 95.55% during training, 91.28% in validation, and 90% in the final test. These findings demonstrate the model’s ability to capture complex relationships between hydrodynamic variables and flow topologies, making it a promising alternative tool for the analysis, monitoring, and optimization of multiphase transport in the oil industry.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1683660</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1683660</link>
        <title><![CDATA[Reflections on some aspects of interfacial transport phenomena, surfactants, and related flows]]></title>
        <pubdate>2025-12-02T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Hanene Zahaf</author><author>Hocine Alla</author><author>Manuel G. Velarde</author>
        <description><![CDATA[We reflect here on some aspects of interfacial transport phenomena, surfactants, and related flows. First, we recall concepts basic to the rest of the content. Then we highlight the extraordinary success of the concept of active, self-propelling drops thanks to the availability of microelectronic technologies and microelectromechanical systems that were not readily available in 1994 when the pioneering theoretical predictions by Rednikov, Ryazantsev, and Velarde were published. A digression about the ascent of sap in trees is presented, illustrating conflicting views in the botanical community. Surfactant spreading transport is also discussed, illustrating the conflicting views that exist about the superspreading phenomenon in the scientific community. In all cases, we provide suggestions for further research.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1696957</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1696957</link>
        <title><![CDATA[A systematic review of thermodynamic modeling and machine learning integration for optimizing plate heat exchanger performance in Uganda’s brewing industry]]></title>
        <pubdate>2025-12-02T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Byamanywoha Edgar</author><author>Val Hyginus Udoka Eze</author><author>Saadelnour Abdueljabbar Adam Saadelnour</author><author>Sanusi Yinka</author><author>Pius Erheyovwe Bubu</author>
        <description><![CDATA[IntroductionPlate Heat Exchangers (PHEs) play a crucial role in industrial thermal processes, particularly in the brewing industry, where precise temperature regulation influences fermentation efficiency and product quality. In Uganda, PHE performance is constrained by fouling, variable thermal loads, and resource limitations. These challenges highlight the need for advanced optimization approaches tailored to tropical climates and resource-limited settings.MethodsA systematic review was conducted to evaluate the use of thermodynamic modeling and machine learning (ML) for optimizing PHE operation in industrial applications. A total of 199 studies were screened, of which 112 met predefined methodological and quality criteria. Extracted data were synthesized to compare traditional approaches with hybrid physical-ML models, including Artificial Neural Networks (ANN), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA). Performance indicators assessed included predictive accuracy, energy efficiency, fouling behavior, and operational responsiveness.ResultsHybrid models integrating thermodynamic principles with ML techniques consistently outperformed conventional modeling approaches. Significant gains were observed in predictive accuracy across included studies, although effect sizes varied due to dataset diversity and differing evaluation metrics. Real-time fouling prediction using ML contributed to a 22% reduction in maintenance costs and a 15% decrease in operational downtime. Implementations of digital twin architectures and adaptive control algorithms achieved an 18% improvement in energy efficiency and enhanced system responsiveness by up to 30% under dynamic thermal load conditions.DiscussionFindings demonstrate the strong potential of combining thermodynamic modeling with AI-driven methodologies to enhance PHE performance in the brewing sector and related industries. While substantial technological improvements have been reported, context-specific barriers persist, particularly the adaptation of advanced models to tropical environmental conditions and the cost-effective integration of renewable energy sources. Addressing these challenges will be essential for unlocking the full potential of self-optimizing PHE systems that promote energy efficiency, product quality, and sustainable industrial growth in regions such as Uganda.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1706474</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1706474</link>
        <title><![CDATA[A unified perspective on vortical and interfacial instabilities in fluid layers]]></title>
        <pubdate>2025-11-06T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Sandeep Saha</author><author>Symphony Chakraborty</author>
        <description><![CDATA[This work presents a comprehensive and unprecedented synthesis that unifies two fundamental, yet separately studied, paradigms of fluid instability: vortical disturbances in high-speed boundary layers and free-surface instabilities in ultra-thin liquid films. We critically examine the boundary layer instability mechanisms using the Orr-Sommerfeld/Squire (O-S/S) formalism, alongside its necessary extensions for hypersonic and multi-phase flows, with focus on the evolution of Tollmien-Schlichting (TS) waves, Görtler vortices, and streak-breakdown phenomena. In parallel, we explore thin-film dynamics via nonlinear long-wave models incorporating the interplay of gravity, surface tension, and complex rheological effects, capturing the physics of pattern formation, wave amplification, and film rupture. The core of this review is a first-of-its-kind comparative analysis that establishes a structural and mathematical equivalence between the two systems across the classic stages of receptivity, linear growth, and nonlinear saturation, despite their contrasting ultimate fates (transition to turbulence vs. catastrophic film rupture). We emphasize the multiphysics couplings and “shared governing principles, defining a new scope for theoretical modeling, particularly for hybrid instability scenarios” found in modern applications. The review concludes by identifying key open challenges in nonlinear predictive capabilities and advanced diagnostics, positioning this unified perspective as crucial for advancing technologies in aerospace drag reduction, microfluidics, and protective coating stability.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1643974</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1643974</link>
        <title><![CDATA[Numerical simulation and experimental study on hydraulic characteristics of L-shaped baffle fishway]]></title>
        <pubdate>2025-09-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yongsheng Liu</author><author>Jianping Tang</author><author>Benqin Liu</author><author>Neng Wang</author><author>Yasi Ye</author><author>Jiankang Miao</author>
        <description><![CDATA[The rapid expansion of hydraulic infrastructure has profoundly disrupted fish migration pathways in riverine ecosystems. To address this challenge, this study investigated the fishway at China’s Zhuzhou Hub, comparing conventional L-type and H-type baffle designs. A mathematical framework based on the k-ε turbulence model was employed to characterize the hydraulic behavior of these structures, with numerical solutions derived via the finite volume method. A comprehensive 1:6 scale physical model was then used to validate hydraulic performance, analyzing flow field structure in pool chambers, velocity distribution at vertical slots, and water surface profile variations under varying water levels. Results demonstrate that the L-type baffle configuration yields slot velocities of 0.28–0.87 m/s (mean: 0.50–0.77 m/s), meeting the critical swimming requirements of the “Four Major Chinese Carps” (black carp, grass carp, silver carp, and bighead carp) (response velocity: 0.2 m/s; critical velocity: 1.3 m/s). The main flow exhibited a smooth S-shaped curvature with lower flow distortion than the H-type baffle, while low-velocity zones (<0.3 m/s) occupied over 50% of the chamber area, ensuring both fish passage efficiency and resting opportunities. Experimental observations showed strong agreement with simulation data, confirming the accuracy of the mathematical framework and numerical methodology. These findings provide robust theoretical and practical guidance for optimizing fishway designs to enhance migratory success and ecological sustainability in regulated rivers.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1616607</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1616607</link>
        <title><![CDATA[Aerodynamics: a different perspective with profound implications]]></title>
        <pubdate>2025-07-28T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Adam B. Suppes</author><author>Galen J. Suppes</author>
        <description><![CDATA[An increased rigor in the fundamental mechanisms of how air flow generates lift teaches toward a new type of ground effect aircraft referred to as ground effect flight transit (GEFT). While GEFT have lower underbody cavities similar to hovercraft, the pressure field is generated by oncoming air flow with the result of improved energy efficiency in both lift generation and drag reduction as based on computational fluid dynamics studies. The result is a new intermodal transportation with the prospect of higher speeds and efficiency than trucks and trains. The technology will utilize existing railway and highway infrastructure. The prospect includes a significant expansion of capabilities for electric vehicles with advantageous environmental impact and reduced reliance on petroleum-based fuels.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1522120</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1522120</link>
        <title><![CDATA[Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines]]></title>
        <pubdate>2025-07-09T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Daniel Yesid Uribe-Tarazona</author><author>Carlos Mauricio Ruiz-Diaz</author><author>Octavio Andrés González-Estrada</author>
        <description><![CDATA[This study develops a robust machine learning model based on artificial neural networks to classify six flow patterns in oil-water two-phase flow within horizontal pipelines, a key aspect for ensuring operational efficiency, integrity, and cost-effective design in the oil and gas industry. A database comprising 1,846 experimental data points was assembled from the literature, encompassing various operating conditions, including fluid properties, superficial velocities, and pipe diameters. After evaluating 104 network configurations, the optimal model was selected, achieving an overall accuracy of 95.4%, with training, validation, and testing accuracies of 97.1%, 92.8%, and 90.3%, respectively, and a cross-entropy error of 0.024. The model demonstrated rapid convergence with a training time of only 2 s, making it a reliable and computationally efficient tool for flow pattern recognition. The outcomes of this study provide significant value for improving pipeline design, optimizing flow assurance strategies, enhancing corrosion control, and supporting real-time operational decision-making in multiphase transport systems in the oil and gas industry.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1550464</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1550464</link>
        <title><![CDATA[Role of curvature in controlling SWBLI behavior in a hypersonic double ramp flow]]></title>
        <pubdate>2025-07-09T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Abhinav Aggarwal</author><author>Rajesh Ranjan</author>
        <description><![CDATA[Hypersonic flows generate intense unsteady pressure and thermal loads, posing significant challenges for high-speed aerospace applications such as re-entry vehicles and hypersonic cruise systems. These extreme conditions necessitate effective flow control strategies to enhance aerodynamic performance and structural integrity. This study examines the influence of surface curvature on these loads in a double-wedge geometry, aiming to optimize flow control approaches. Unsteady Mach 7 flow simulations are conducted using a high-fidelity, time-accurate solver with third-order MUSCL as well as seventh-order WENO schemes, ensuring precise resolution of shock interactions and flow structures. A standard double-ramp configuration is analyzed alongside two smooth ramp configurations, where the faceted intersection of the front and aft wedges is replaced with different curvature levels. The computational results are validated against experimental heat-flux data to confirm the accuracy of the numerical approach. The findings reveal that the high-curvature geometry (curvature, κ=1.01) introduces only marginal variations in mean pressure and thermal loads. However, transient flow characteristics are notably altered. In contrast, the low-curvature configuration (κ=0.49) significantly reduces both pressure and thermal loads by 43% and 58%, respectively, while also minimizing the separation region. The reduced separation leads to a smoother and more stable flowfield, contributing to improved aerodynamic efficiency. Long-term analysis further indicates that the low-curvature configuration accelerates the decay of large-amplitude unsteady signals, suggesting enhanced flow stability over extended durations. These results underscore the potential benefits of surface curvature in mitigating aerodynamic heating and structural stresses in hypersonic flows, and therefore provide insights for the development of more efficient hypersonic vehicles with improved thermal management, enhanced vehicle survivability, and better overall performance in extreme flight conditions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1600083</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1600083</link>
        <title><![CDATA[Experimental determination of the ventilation pressure thermal drop effect on the air flows in the inclined mine workings]]></title>
        <pubdate>2025-06-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Lev Levin</author><author>Evgeniy Kuzminykh</author><author>Sergei Zhikharev</author>
        <description><![CDATA[The increasing use of mechanized facilities in underground mining operations, including conveyor systems, diesel and electric equipment, and rail transport, is driving the expansion into new mineral reserves, often accessed through inclined mine workings. Many of these workings are located in moderately pitched deposits, where mining conditions present particular safety challenges. Among the most critical risks is fire, which can significantly alter airflow patterns and disrupt mine ventilation systems. While fire-induced airflow and temperature distribution have been studied extensively in buildings and road tunnels, similar investigations for underground mine workings remain scarce and are typically limited to simplified one-dimensional models. However, the results from studies on buildings and tunnels cannot be directly applied to mine environments due to significant differences in geometry and ventilation systems. This study investigates the effects of ventilation pressure drops on air velocity and temperature field heterogeneity in inclined mine workings with positive and negative inclination angles. We experimentally determine the relationship between mass airflow rate changes in mine workings with inclination angles ranging from 12° to −15° and a fixed heat source power. For the first time, we examined asymmetrical changes in airflow in inclined mine workings for positive and negative inclination angles. A theoretical justification for the observed experimental phenomenon is provided. Additionally, we identify the critical power range of the heat source at which airflow choking and direction reversal occur in workings with descending ventilation, providing valuable insights for improving mine ventilation safety during fire scenarios.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1595832</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1595832</link>
        <title><![CDATA[Passive flow control in the wake of bed-mounted cylinders: a review and new experimental insights]]></title>
        <pubdate>2025-05-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zia Ud Din Taj</author><author>Sabal Bista</author><author>Ram Balachandar</author>
        <description><![CDATA[Controlling wake flow behind bed-mounted circular cylinders is required in many engineering applications. This study investigates several passive flow control mechanisms, including the use of helical strakes, meshes, foam coverings, slots, and holes. A detailed review of existing experimental and numerical studies is conducted to examine the principles, applications, and effects of each method. While extensive research exists on individual flow control techniques, comparative studies between different methods are notably lacking. Additionally, variations in approach flow conditions across studies highlight the need for a systematic evaluation under identical or near-identical inflow conditions. To address these gaps, particle image velocimetry measurements were employed to capture and compare unsteady flow dynamics in the wake of various types of bed-mounted circular cylinders. Experiments were conducted at Reynolds number of 1.45×104, based on the cylinder diameter. The results show that the plain cylinder’s wake flow is dominated by a large recirculation region and downstream bifurcation, while the meshed cylinder shows minimal deviation from these characteristics. The cylinders with holes generate localized turbulence and spiraling flow patterns, with diminishing effects downstream. The helical strakes induce unique channelized flow and sustained turbulence downstream, whereas the single and cross-slotted cylinders enhance near-wake turbulence and velocity via high-velocity jets, particularly in the cross-slotted configuration, making it ideal for heat transfer applications. In contrast, foam-covered cylinders effectively reduce turbulence and flow fluctuations, offering potential for applications requiring flow stability and drag reduction.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmech.2025.1405148</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmech.2025.1405148</link>
        <title><![CDATA[Numerical investigation of Dean vortex evolution in turbulent flow through 90° pipe bends]]></title>
        <pubdate>2025-03-04T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Prasun Dutta</author><author>Naveen Kumar Rajendran</author><author>Robert Cep</author><author>Rakesh Kumar</author><author>Himanshu Kumar</author><author>Yadaiah Nirsanametla</author>
        <description><![CDATA[The current study focuses on numerically simulating turbulent flow in a 90° pipe bend using the k-ε turbulence model. Following validation of present numerical approach against prior experimental findings, extensive research was conducted to elucidate the development of Dean vortices and the secondary flow within the pipe bend. This study illustrated the distribution of mean axial velocity, secondary flow phenomena, and the occurrence of Dean vortices in various sections. Velocity vector distributions vividly depict the secondary motion induced by fluid transitioning from the inner to the outer wall of the bend, leading to flow separation. The interplay between the centrifugal force from the bend and adverse pressure gradient results in the formation of two counter-rotating vortices in the streamwise direction. This study presents numerical results aimed at providing insights into the behaviour of Dean vortices and the formation of secondary flow in a 90° pipe bend.]]></description>
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