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Assemblies of slender structures forming brushes are common in daily life from sweepers to pastry brushes and paintbrushes. These types of porous objects can easily trap liquid in their interstices when removed from a liquid bath. This property is exploited to transport liquids in many applications, ranging from painting, dip-coating and brush-coating to the capture of nectar by bees, bats and honeyeaters. Rationalising the viscous entrainment flow beyond simple scaling laws is complex due to the multiscale structure and the multidirectional flow. Here, we provide an analytical model, together with precision experiments with ideal rigid brushes, to fully characterise the flow through this anisotropic porous medium as it is withdrawn from a liquid bath. We show that the amount of liquid entrained by a brush varies non-monotonically during the withdrawal at low speed, is highly sensitive to the different parameters at play and is very well described by the model without any fitting parameter. Finally, an optimal brush geometry maximising the amount of liquid captured at a given retraction speed is derived from the model and experimentally validated. These optimal designs open routes towards efficient liquid-manipulating devices.
This paper proposes a new surface fitting method based on double model comparison to solve the aspherical surface parameters, allowing for the simultaneous extraction of the surface deviation and the optimal surface fitting parameters for the radio antenna’s main reflector. This method employs the laser tracker to obtain the 3D coordinates of the points on the antenna surface, which can be expressed in terms of Zernike polynomials. Then compare the Zernike polynomial description with the ideal aspherical equation description to establish a discrepancy model in the optical design software. Finally, by optimizing this model, the optimal surface parameters can be obtained. The simulation results show that the method is suitable for high-precision fitting of aspherical surfaces with cone coefficient K in the range of [−4, 0.3], with the maximum deviation percentage of the radius of curvature at 0.036% and the cone coefficient at 0.14%. Experimental research is conducted on the 3.2 m sector sub-aperture spliced radio antenna; the fitted radius of curvature is 2012.3204 mm, the conic coefficient is −1.0476, and the Root Mean Square (RMS) is 0.6232 mm, confirming the adaptability of this method.
In the present work, we experimentally investigate the transverse injection of elliptic liquid jets into a supersonic cross-flow ($M_\infty$ = 2.5). The primary focus is to understand the effect of injection orifice aspect ratio ($\textit{AR}$ = spanwise/streamwise dimension), on the liquid jet breakup mechanism, the flow field around the liquid jet and the resulting droplet sizes formed downstream, for three $\textit{AR}$ cases ($\textit{AR}$ = 0.3, 1, 3.3). We find that the $\textit{AR}$ = 0.3 case has large unsteadiness in the spray core due to relatively large wavelength Rayleigh–Taylor (RT) waves formed on the liquid jet surface. However, the primary jet breakup occurs through Kelvin–Helmholtz (KH) instabilities formed on the large lateral surfaces, as in coaxial liquid jet breakup. This leads to a higher Sauter mean diameter (SMD) of the droplets in the spray core with a wider range of droplet sizes compared with the circular case ($\textit{AR}$ = 1.0). However, in the case of $\textit{AR}$ = 3.3, the RT waves are more intense and of smaller wavelength due to the large drag on the liquid jet, which results in a direct catastrophic breakup of the liquid jet by the RT waves. This results in a relatively steady liquid jet and shock structure with the formation of a fine spray and smaller droplets in the spray core than for the $\textit{AR}=1.0$ case. The study shows the importance of the orifice $\textit{AR}$ on the flow around, and the spray downstream of, the liquid jet injection into supersonic cross-flow.
We present a new Eulerian framework for the computation of turbulent compressible multiphase channel flows, specifically to assess turbulence modulation by dispersed particulate matter in dilute concentrations but with significant mass loadings. By combining a modified low-dissipation numerical scheme for the carrier gas phase and a quadrature-based moment method for the solid particle phase, turbulent statistics of the fluid phase and fluctuations of the particle phase may be obtained as both are resolved as coupled fields. Using direct numerical simulations, we demonstrate how this method effectively resolves the turbulent statistics, kinetic energy, skin friction drag, particle mass flow rate and interphase drag for moderate-Reynolds-number channel flows for the first time. Validation of our approach to the turbulent particle-free flow and the turbulent particle-laden flow proves the applicability of the carrier flow low-dissipation scheme to simulate relatively low-Mach-number compressible flows and of the quadrature-based moment method to simulate the particle phase as an Eulerian field. This study also rationalises the computed interphase drag modulation and total Reynolds shear stress results using a simplified analytical approach, revealing how the particle migration towards the wall can affect the drag between the two phases at different Stokes numbers and particle loadings. Furthermore, we show the effect of near-wall particle accumulation on the particle mass flow rate. Using our Eulerian approach, we also explore the complex interplay between the particles and turbulent fluctuations by capturing the preferential clustering of particles in turbulence streaks. This interplay leads to turbulence modulations similar to recent observations reported in prior computational works using Lagrangian simulations. Our study extends the applicability of the Eulerian approach to accurately study particle–fluid interactions in compressible turbulent flows by explicitly calculating the energy equations for both the particle phase and the carrier fluid motion. Since the formulation is compressible and includes energy equations for both the particle and carrier flow fields, future studies for compressible flows involving heat and mass transfer may be simulated using this methodology.
We explore the drawing of an axisymmetric viscoelastic tube subject to inertial and surface tension effects. We adopt the Giesekus constitutive model and derive asymptotic long-wave equations for weakly viscoelastic effects. Intuitively, one might imagine that the elastic stresses should act to prevent hole closure during the drawing process. Surprisingly, our results show that the hole closure at the take-up point is enhanced by elastic effects for most parameter values. However, the opposite is true if the tube has a sufficiently large hole size at the inlet nozzle of the device or if the axial stretching is sufficiently weak. We explain the physical mechanism underlying this phenomenon by examining how the second normal stress difference induced by elastic effects modifies the hole evolution process. We also determine how viscoelasticity affects the stability of the drawing process and show that elastic effects are always destabilising for negligible inertia. On the other hand, our results show that if the inertia is non-zero, elastic effects can be either stabilising or destabilising depending on the parameters.
Accurate absorption analysis of metasurface absorbers, considering all reflected modes, is critical. This corrigendum addresses a significant error in recent papers [19 and 20] as two selected samples, which misinterpret absorption mechanisms by neglecting the main contribution of cross-polarized reflections. According to the review of highly authoritative and highly referenced research, metasurface absorbers with losses can achieve wideband absorption, while low-loss structures typically exhibit resonant narrowband absorption or convert incident power to cross-polarized reflections – an aspect overlooked in [19 and 20]. We present key principles for accurate simulation in HFSS software, emphasizing correct handling of symmetrical and asymmetrical meta-cells and determining all reflected components. Re-analysis of the designs in [19 and 20] using these simulation principles reveals a significant overestimation of reported absorption; they are, in fact, polarization converters rather than perfect absorbers. Finally, we propose potential recommendations for these designs without using a loss mechanism.
This article draws from a database of asset-level emissions to identify key methane-emitting coal, oil and gas facilities in Southeast Asia while taking stock of the methane commitments of their owners. Coal mines account for around a third of fossil fuel methane emissions globally, but in Southeast Asia they make up more than half of tracked fossil fuel methane emissions. Over half of emissions from the coal mining subsector is traced to its top ten emitters, mostly in East Kalimantan, Indonesia; while some coal mines in North Vietnam have high emissions intensities. Though the global discourse on fossil methane focuses on oil and gas, coal mine methane remains crucial for Southeast Asia due to the region's lack of decisive coal phaseout plans. As countries begin to tackle coal emissions at the power generation stage, a gap still remains when it comes to coal mining emissions. Methane monitoring and abatement actions are urgently needed for coal mines that will continue to operate, as well as those slated for closure. More clarity is needed on how private sector commitments in the oil and gas sector will translate to action under complex and changing ownership arrangements. These gaps and uncertainties in methane abatement are ripe opportunities for closer partnership in the region, including within the private sector.
Malaysia has traditionally adopted an intensive automotive industrialization model and created its own vehicles under national brands. The national car project started with Proton in 1983, and the national motorcycle project with Modenas in 1995. While policies and scholarship have focused on national car projects, the two-wheeler sector has stood in their shadow. Modenas witnessed early growth and remains a popular brand after Yamaha and Honda; it has however failed to hit export targets, owing to limited technology transfer and the inability to scale. Recently, there has been renewed interest in the two-wheeler sector, focusing on phasing out combustion motorcycles in favour of electric two-wheelers (E2Ws). Still nascent, Malaysia's electric two-wheeler (E2W) sector appears to prioritize an extensive model of assembly and distribution rather than the protection of home-grown brands. Still in its infancy, E2W adoption rates remain low at under 1 per cent, albeit there has been high year-over-year growth since 2022. Interviews with E2W manufacturers, regulators, dealers, and consumers reveal challenges beyond common issues like price, range, charging time, maximum speed, absence of servicing infrastructure and a second-hand market. Notably, Malaysia lacks a suitable product for Malaysian roads and lifestyle due to insufficient institutional support for Research and Development (R&D) and talent matching. With aspirations to be an E2Ws regional manufacturing hub, the government and businesses should step up on public education to bridge the information gap, rethink the R&D support model for the electric vehicle industry, and develop clarity surrounding what a 'Made in Malaysia' motorcycle entails.
We investigate the motion of weakly negatively buoyant spheres settling in surface gravity waves using laboratory experiments. The trajectories of the settling spheres are tracked over most of the water depth with simultaneous measurements of the background fluid flow. These experiments are conducted in the regime relevant for environmental and geophysical applications where both particle inertia and fluid inertia are important. Using these data, we show that the sphere motion is well described by the kinematic sum of the undisturbed fluid velocity and the particle terminal settling velocity as long as the fluid inertia is not too large. We show how this result can be understood in the context of an ad hoc Maxey–Riley–Gatignol-type equation where the drag on the particle is given by the Schiller–Naumann drag correlation. We also evaluate whether inertial particles experience enhanced settling in waves, finding that measurement uncertainties in the particle terminal settling velocity and the presence of Eulerian-mean flows do not allow the small percentage increase in the settling velocity to be measured. When the fluid inertia becomes large enough, we observe path instabilities caused by particle wake effects in both quiescent and wavy conditions. However, the particle velocity fluctuations associated with the path instabilities are unaffected by the background flow. The minimal influence of the wavy flow on the particle path instabilities is thought to be due to the large-scale separation between the waves and the particle.
This study investigates the strong influence of a splitter plate on two- and three-dimensional wake transitions of a circular cylinder. Direct numerical simulations and Floquet analyses are conducted over a parameter space including Reynolds numbers (Re) of 10–480 and non-dimensional plate lengths (L/D) of 0–6. With the increase in L/D, the critical Re for the onset of vortex shedding (Recr2D) increases monotonically. The delayed onset of vortex shedding with elongation of the body is physically explained. The critical Re for the onset of three-dimensionality (Recr3D) and the three-dimensional wake instability modes and structures are also significantly altered by the splitter plate. Compared with an isolated cylinder, the Recr3D for L/D = 1 is significantly reduced via a long wavelength mode, whereas the Recr3D for L/D = 2–6 is significantly increased via other modes. For each L/D, with increasing Re over the wake transition process, the spanwise wavelength of the wake structure gradually decreases, and the wake structure becomes increasingly chaotic. The strong influence of the splitter plate on the formation of the primary vortices and three-dimensional wake structures alter the hydrodynamic characteristics strongly. In particular, optimal lift reduction is achieved at L/D ∼ 1. In addition, the existence/absence of a hysteresis effect at the onset of three-dimensionality is identified by three methods. Among which, the method involving the Landau equation may be contaminated by initial transients induced by stable Floquet modes and may thus lead to a false conclusion on the existence/absence of hysteresis.
Flight Data Monitoring (FDM) programmes have become a key part of every major airline’s safety management system. They are primarily based on learning from unwanted deviations in flight parameters encountered during normal flight operations. Owing to its unique nature, anomaly detection of FDM presents distinct problem complexities from the majority of analytical and learning tasks. This methodology, while useful, concentrates only on a small part of the operation, leaving most of the data unprocessed, and does not allow for analysing events that had the potential to go wrong but were recovered in time by the crews. This research focused on analysing an FDM dataset of 1332 approaches between January 2018 and July 2022 at Tenerife South Airport (Spain), where there is a known phenomenon of increasing headwinds during the final approach. The flights were clustered using self-organising maps (SOM) by patterns of increasing headwinds, and the clusters were assessed in terms of clustering performance. The clusters were well differentiated. A further comparison between the results from the airline showed that 88 flights were affected by wind shifts, while 27 flights were picked up by the airline. The results demonstrate that SOMs are a meaningful tool for clustering flight data and can complement the current FDM analysis methodology. Combining both methodologies could shift FDM data analysis to look beyond exceedances into what went well, thus shifting the FDM paradigm towards a more safety-II-based method.
Technological developments and affordable price structures have increased the usage of unmanned aerial vehicles (UAVs) across almost all sectors, hence increasing demand. Since UAVs can fly and perform various tasks without requiring a human operator, the most dangerous and time-consuming tasks previously performed by humans in many sectors are now accomplished by using UAVs. The increased use of UAVs has also introduced critical safety and security risks, including airspace congestion, collisions and malicious use, and therefore, identifying and assessing the risks associated with UAVs and finding ways to mitigate them is of great importance. This qualitative study investigates the safety and security risks posed by the increased use of UAVs and discusses ways to mitigate these risks. Semi-structured interviews with aviation professionals, including pilots, air traffic controllers and academicians, were conducted, and the collected data were analysed by using MAXQDA 24 qualitative analysis software. The results indicate that 86% of participants emphasised air traffic density as a major safety concern, while 71% underlined the need for dedicated air corridors and robust legal frameworks to reduce collision risks. These insights suggest that the safe integration of UAVs into current aviation systems demands a multifaceted strategy involving regulatory interventions, such as clearly defined UAV flight zones and essential technological enhancements. Overall, the study underscores the urgent need for coordinated efforts–legal, technological, and inter-institutional–to ensure the secure incorporation of UAVs into national airspace.
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Sub-convective wall pressure fluctuations play a critical role in vibroacoustic and noise analyses of vehicle structures as they serve as the primary forcing function. However, measuring these fluctuations is challenging due to their weak pressure magnitudes, typically $10^{-3}{-}10^{-5}$ of convective fluctuations. This study introduces a non-intrusive measurement technique using an array of multi-pore Helmholtz resonator sensors to capture sub-convective fluctuations with high resolution. The array features large-area, spanwise-oriented sensors arranged linearly for optimal sampling. Results provide a continuous streamwise wavenumber–frequency spectrum, resolving sub-convective fluctuations with sufficient range and accuracy. Convergence analysis indicates that long sampling durations, $\mathcal{O}(10^6 \delta ^*/U_\infty )$, $\delta^*$ is the displacement thickness of the boundary layer. $U_\infty$ is the freestream velocity are necessary to capture true sub-convective levels. Comparisons with four existing wall pressure models, which account for sensor area averaging, reveal discrepancies in predicted levels, convection speed relations and convective ridge characteristics. Notably, the measured data align most closely with the Chase (1980, J. Sound Vib., vol.70, pp. 29–67) model at convective peak levels and in the sub-convective domain. However, the observed roll-off at wavenumbers exceeding the convective wavenumber decays more slowly than predicted, giving the convective ridge an asymmetric profile about the convective line. These findings underscore the need for improved wall pressure models that incorporate frequency-dependent convective speed relations, ridge asymmetry, and more accurate sub-convective levels. Further validation using a microphone array from Farabee & Geib (1991) confirms the accuracy of our measurements, which indicate sub-convective pressure levels lower than reported previously.
Rotorcraft engines are highly complex, nonlinear thermodynamic systems operating under varying environmental and flight conditions. Simulating their dynamics is crucial for design, fault diagnostics and deterioration control, requiring robust control systems to estimate performance throughout the flight envelope. Numerical simulations provide accurate assessments in both steady and unsteady scenarios through physics-based and mathematical models, although their development is challenging due to the engine’s complex physics and strong dependencies on environmental conditions. In this context, data-driven machine-learning techniques have gained significant interest for their ability to capture nonlinear dynamics and enable online performance estimation with competitive accuracy. This work explores different neural network architectures to model the turboshaft engine of Leonardo’s AW189P4 prototype, aiming to predict engine torque. The models are trained on a large database of real flight tests, covering a variety of operational manoeuvers under different conditions, thus offering a comprehensive performance representation. Additionally, sparse identification of nonlinear dynamics (SINDy) is applied to derive a low-dimensional model from the available data, capturing the relationship between fuel flow and engine torque. The resulting model highlights SINDy’s ability to recover underlying engine physics and suggests its potential for further investigations into engine complexity. The paper details the development and prediction results of each model, demonstrating that data-driven approaches can exploit a broader range of parameters compared to standard transfer function-based methods, enabling the use of trained schemes to simulate nonlinear effects in different engines and helicopters.