We are greatly saddened by the sudden passing on April 14 of Keith Julien, Chair and Professor of Applied Mathematics at the University of Colorado, Boulder, Fellow of the American Physical Society, and a member of the Editorial Board of Physical Review Fluids.

On June 24 9-9.30am Saurabh Nath (MIT) will sit down with the Physical Review Journal Club to discuss recently published research, “Expediting viscous spreading with liquid-infused solids”. Phys. Rev. Fluids 9, 054001. To attend the presentation, simply join the Zoom meeting below:

Time: Jun 24, 2024 09:00 AM Eastern Time (US and Canada)

June 24 PRFluids journal club Zoom link
Meeting ID: 815 4329 4903
Passcode: 416516

When determining the authorship list for your next paper, be generous yet disciplined.

A numerical study on the inertial migration of particle suspension in a circular pipe with thermal effect is performed by means of the Lattice Boltzmann method coupled with the discrete element method (LBM-DEM). The particle position and heat transfer for single particle as well as particle suspensions are discussed. Then, we extend the work to varied temperature conditions. It is shown that the variation of the circumferential equilibrium position can be well regressed by the Richardson number. A nonmonotonic variation of the radial equilibrium position as well as the Nusselt number is discovered, which is attributed to the particle crowding effect.

Passive scalar turbulence in the viscous-convective range is investigated via a self-consistent closure theory. Without relying on any empirical parameter the theory successfully explained the scalar-variance spectrum proportional to the inverse wavenumber $k^{-1}$ from the scalar’s deformation timescale dominated by the Kolmogorov-scale eddy, which agrees with the physical viewpoint of Batchelor (1959). High Schmidt number (Sc) calculations up to Sc=100000 suggest that a clear Batchelor spectrum may appear in $k\eta \gtrsim 1$ for $Sc\gtrsim 10000$ where $\eta$ is the Kolmogorov length.

Hydrofoils with symmetric oscillations can generate asymmetric vortex wakes. This surprising asymmetry has been widely reproduced, but a simple metric to predict its onset has remained elusive. Here, using a combination of vortex modeling and water channel experiments, we show that vortex wake deflection is well-predicted by the “relative dipole angle”. In addition to offering a predictive physics-based metric, our results show that a hydrofoil’s wake can converge much more slowly than previously thought (200+ oscillation cycles), and that the wake’s asymmetry is more than a memory of the hydrofoil’s initial condition - it is an instability inherent to the vortex street.

With the goal of performing opposition control of large-scale drag-producing turbulence structures, we present a successful control strategy that attenuates large-scale velocity fluctuations in a turbulent boundary layer. Our control architecture consists of a wall-embedded sensor that feeds information to a real-time controller, which selectively operates a jet actuator. We quantify the performance of this single-input/single-output system with spectral statistics and direct skin-friction measurements. Additionally, we link the changes in skin-friction drag to changes in the statistical integral quantities to gauge the correlation between control output and skin-friction variation.

We study water transport in bi-disperse porous structures inspired by xylem tissue in vascular plants (arrays of microchannels interconnected by a nanoporous layer). With various experiments (high pressure-driven flow, spontaneous imbibition, transpiration-driven flow at negative pressure), we show that transport rates can be tuned by varying the shape of the microchannels. Even with a fixed shape, spontaneous imbibition behaves very differently depending on sample preparation (air-filled vs. evacuated), because of a dramatic change of transport mechanism in the microchannels. We provide analytical (effective medium) approaches and numerical simulations to rationalize these observations.

Our experimental research demonstrates that helicity in turbulent flows undergoes a direct spectral transfer from large to small scales. Tomographic particle image velocimetry provides insights into the spatial and spectral segregation of turbulent flows with different helicity signs. We show that helicity generation and decay along the jet dramatically depends on the inflow swirl. Notably, we provide direct experimental evidence of the helicity cascade, discovering that swirls of the same sign can impart turbulent helicity of the opposite sign, challenging conventional assumptions. These findings offer valuable benchmarks for numerical simulations using different turbulent closure methods.

An experimental study is conducted on a thin symmetric airfoil at stall. Below a critical Reynolds number, the flow exhibits low-frequency oscillations (LFOs) characterized by a broadband peak in the aerodynamic force spectrum. Beyond this threshold, the LFOs are replaced by intermittent random switches between two states of either high or low lift (attached or detached flow). The states are explored randomly in time for a fixed angle of attack, contrary to the classical hysteresis often observed in airfoil flows at stall, where both states are absorbing. We model this using a continuous Markov chain and extreme value theory, a framework that can determine the system bifurcation points.

Have you ever tried spinning your water bottle to empty it more quickly? This experiment, familiar to the general public, has rarely been studied in the scientific literature, which focuses mainly on the non-rotational case. We show that this popular experiment is surprisingly complex. Our study reveals the presence of three flow regimes, which have a direct impact on the efficiency of the draining process.

We compare supervised super-resolution convolutional neural networks (CNNs) against generative adversarial networks (GANs)-based architectures in the ability to reconstruct turbulent flow fields. GANs demonstrated superior in-sample performance but faced challenges with out-of-sample flows. Incorporating a partially unsupervised adversarial training step with large eddy simulation inputs and dynamic upsampling selection improved GANs’ out-of-sample robustness, capturing small-scale features and turbulence statistics better than standard supervised CNNs. The study recommends integrating discriminator-based training to enhance super-resolution CNNs’ reconstruction capabilities.

Hypersonic boundary layers are susceptible to flow instabilities that cause laminar flow to transition to turbulence, significantly increasing aerodynamic drag and wall heating. We focus on how these instabilities are triggered by the environment by applying a control systems theory technique called “input-output analysis” that relies in part upon solving the Navier-Stokes equations in reverse, tracing instabilities back to their origins. In the complex interactions between atmospheric disturbances, shock waves created near the nose cone of a hypersonic vehicle, and boundary layer instabilities, we find two physical processes strongly connected to the bluntness of the nose cone tip.

We consider different boundary conditions for imposing flow of yield stress fluids in porous media. In contrast to Newtonian fluids in porous media, imposing pressure or a given flow profile at the boundary leads to significantly different flow fields. In particular, we show that imposing a flow profile leads to a merging tree structure whose properties are governed by the dynamics of a directed polymer in a random medium.

This study explores, for the first time, the impact of plasticity on inertialess viscoelastic instabilities in strong elongational flows. Through detailed numerical simulations, it reveals how elastoviscoplastic effects induce complex and dynamic flow behaviors, leading to new flow states. Crucially, our findings reveal that plasticity can laminarize and suppress these instabilities, offering new strategies for controlling the instability mechanism.

Fluid-fluid displacement is often irreversible—exhibiting hysteresis where reversal of the driving force (e.g. external pressure) does not reverse the fluids’ configuration. This irreversibility is linked to energy dissipation, a key to efficient design of engineering operations such as subsurface cleanup or energy storage. Here, we analyze (analytically, numerically, and experimentally) a novel model system that exposes a striking phenomenon: emergence of hysteresis and dissipation in a system made of individually “reversible” (non-hysteretic) entities, due to their spatial interactions mediated by interfacial tension.

Most of the literature on flow through nanoporous two-dimensional membranes has focused on static membranes, yet various studies have shown the relevance of fluid-structure interactions – particularly dynamic coupling – on flow through nanopores. Herein, we use Molecular Dynamics (MD) simulations to study the effects of rigid in-plane harmonic pore oscillations on water flow through nanoporous graphene. First, we repurpose a used technique as a framework to isolate the physical mechanisms caused by the dynamic pore from the injected heat. We show that dynamic opening/closing of flow routes inside the pore enhances flow by increasing axial velocity and decreasing water density inside the pore.

We use immersed boundary methods to simulate finite-size spheres and fibers in turbulent flows across a range of Taylor Reynolds numbers ($12.8<R{e}_{\lambda }<442$) and solid mass fractions ($0\le M\le 1$). Both particle shapes act as a “spectral shortcut” to the flow, with fibers extending this effect further into the dissipative range. Spheres enhance dissipation in two-dimensional sheets, while fibers enhance dissipation in structures with dimension between one and two. However, the particles’ effect on the anomalous dissipation tends to vanish as $R{e}_{\lambda }\to \mathrm{\infty }$. These findings have implications for microplastics in oceans, volcanic ash clouds, and sandstorms.

The “anomalous” peaks in experimentally obtained power spectral density plots in the wake of wind turbines are investigated with time-resolved volumetric measurements. To promote early tip vortex interaction, blades with different angles-of-attack are used on the same rotor. Using an advanced volumetric technique to obtain the velocity field in the wake, the tip vortex interaction is visualized and quantified. The captured tip vortices corroborate the findings from power spectral density plots at different downstream locations that only one vortex is dominant, demonstrating that a difference in initial vortex strength can result in vortical energy being distributed at unexpected frequencies.

In this Letter, we explore the influence of colloids at liquid-liquid interfaces on droplet pinch-off dynamics in microfluidic devices. We uncover a significant deviation in droplet formation time compared to pure systems, similarly to surfactant-laden systems. Yet notably, colloids exert minimal impact on droplet size, indicating potential nonlinear effects. The dynamics of neck thinning without colloids agree with the classic pendant drop scaling laws, while particle presence replaces traditional viscous and inertial-viscous regimes with a single power law, suggesting an elastic behavior driven by soft particle interactions.

Often considered a childhood pastime, soap bubbles emerged as a captivating domain for rigorous scientific inquiry for generations. While blowing soap bubbles is familiar to everyone, the underlying physics of inflating them remains unanswered. In our investigation, we visualize the previously unexplored internal airflow experimentally, revealing a toroidal vortical flow that resembles a bound vortex ring. The air enters the bubble as a round jet, emerging from the nozzle opening and impinges on the expanding concave interior to form this toroidal vortex. We also predict several scaling laws for the inflation rate and dynamics of this confined vortical flow by varying the source pressure.

APS has selected 156 Outstanding Referees for 2024 who have demonstrated exceptional work in the assessment of manuscripts published in the Physical Review journals. A full list of the Outstanding Referees is available online.

The recipients of the 40th François Naftali Frenkiel Award for Fluid Mechanics are Aliénor Rivière, Daniel J. Ruth, Wouter Mostert, Luc Deike, and Stéphane Perrard for their paper “Capillary driven fragmentation of large gas bubbles in turbulence” which was published in Physical Review Fluids 7, 083602 (2022).

Physical Review Fluids publishes a collection of papers associated with the 2022 Gallery of Fluid Motion. These award winning works were presented at the annual meeting of the APS Division of Fluid Dynamics.

See the 2022 Gallery for the original entries.

The 75th Annual Meeting of the American Physical Society (APS) − Division of Fluid Mechanics was held in Indianapolis, IN from November 20–22, 2022.

The Collection is based on presentations at the 2022 meeting of the APS Division of Fluid Dynamics in Indianapolis, Indiana. Each year the editors of Physical Review Fluids invite the authors of selected presentations made at the Annual meeting of the APS Division of Fluid Dynamics to submit a paper based on their talk to the journal. The selections are made based on the importance and interest of the talk and the submitted papers are peer reviewed. The current set of invited papers is based on presentations made at the 75th Annual meeting of the APS Division of Fluid Dynamics in November 2022. The papers may contain both original research as well as a perspective on the field they cover.

The Editors of Physical Review Fluids highlight the journal’s achievements, its editorial standards, and its special relationship with the APS Division of Fluid Dynamics (DFD).

Beverley McKeon and Eric Lauga describe their vision as new Co-Lead Editors for Physical Review Fluids, which celebrates its fifth anniversary this year.