Elastically-bounded flapping plates for flow-induced energy harvesting

This work concerns a novel concept for energy harvesting (EH) from fluid flows, based on the aeroelastic flutter of elastically-bounded plates immersed in laminar flow. The resulting flapping motions are investigated in order to support the development of centimetric-size EH devices exploiting low wind velocities, with potential application in the autonomous powering of low-power wireless sensor networks used, e.g., for remote environmental monitoring. The problem is studied combining three-dimensional direct numerical simulations exploiting a state-of-the-art immersed boundary method, wind-tunnel experiments on prototypal EH devices, and a reduced-order phenomenological model based on a set of ordinary differential equations. Three key features of the aeroelastic system are investigated: (i) we identify the critical condition for self-sustained flapping using a simple balance between characteristic timescales involved in the problem; (ii) we explore postcritical regimes characterized by regular limit-cycle oscillations, highlighting how to maximize their amplitude and/or frequency and in turns the potential energy extraction; (iii) we consider arrays of multiple devices, revealing for certain arrangements a constructive interference effect that leads to significant performance improvements. These findings lead to an improved characterization of the system and can be useful for the optimal design of EH devices. Moreover, we outline future research directions with the ultimate goal of realizing high-performance networks of numerous harvesters in real-world environmental conditions

Passive control of a falling sphere by elliptic-shaped appendages

The majority of investigations characterizing the motion of single or multiple particles in fluid flows consider canonical body shapes, such as spheres, cylinders, discs, etc. However, protrusions on bodies -- being either as surface imperfections or appendages that serve a function -- are ubiquitous in both nature and applications. In this work, we characterize how the dynamics of a sphere with an axis-symmetric wake is modified in the presence of thin three-dimensional elliptic-shaped protrusions. By investigating a wide range of three-dimensional appendages with different aspect ratios and lengths, we clearly show that the sphere with an appendage may robustly undergo an inverted-pendulum-like (IPL) instability. This means that the position of the appendage placed behind the sphere and aligned with the free-stream direction is unstable, in a similar way that an inverted pendulum is unstable under gravity. Due to this instability, non-trivial forces are generated on the body, leading to turn and drift, if the body is free to fall under gravity. Moreover, we identify the aspect ratio and length of the appendage that induces the largest side force on the sphere, and therefore also the largest drift for a freely falling body. Finally, we explain the physical mechanisms behind these observations in the context of the IPL instability, i.e., the balance between surface area of the appendage exposed to reversed flow in the wake and the surface area of the appendage exposed to fast free-stream flow.Comment: 16 pages, 13 figures, 2 tables, under consideration for publication in Phys. Rev. Fluids; revisio

The effect of the Basset history force on particle clustering in Homogeneous and Isotropic Turbulence

We study the effect of the Basset history force on the dynamics of small particles transported in homogeneous and isotropic turbulence and show that this term, often neglected in previous numerical studies, reduces the small-scale clustering typical of inertial particles. The contribution of this force to the total particle acceleration is, on average, responsible for about 10% of the total acceleration and particularly relevant during rare strong events. At moderate density ratios, i.e. sand or metal powder in water, its presence alters the balance of forces determining the particle acceleration

Collective dynamics of dense hairy surfaces in turbulent flow

Flexible filamentous beds interacting with a turbulent flow represent a fundamental setting for many environmental phenomena, e.g., aquatic canopies in marine current. Exploiting direct numerical simulations at high Reynolds number where the canopy stems are modelled individually, we provide evidence on the essential features of the honami/monami collective motion experienced by hairy surfaces over a range of different flexibilities, i.e., Cauchy number. Our findings clearly confirm that the collective motion is essentially driven by fluid flow turbulence, with the canopy having in this respect a fully-passive behavior. Instead, some features pertaining to the structural response turn out to manifest in the motion of the individual canopy elements when focusing, in particular, on the spanwise oscillation and/or on sufficiently small Cauchy numbers

The effect of particle anisotropy on the modulation of turbulent flows

We investigate the modulation of turbulence caused by the presence of finite-size dispersed particles. Bluff (isotropic) spheres vs slender (anisotropic) fibers are considered to understand the influence of the object shape on altering the carrier flow. While at a fixed mass fraction - but different Stokes number - both objects provide a similar bulk effect characterized by a large-scale energy depletion, a scale-by-scale analysis of the energy transfer reveals that the alteration of the whole spectrum is intrinsically different. For bluff objects, the classical energy cascade is shrinked in its extension but unaltered in the energy content and its typical features, while for slender ones we find an alternative energy flux which is essentially mediated by the fluid-solid coupling.Comment: 11 pages, 6 figure

fluttering energy harvester for autonomous powering flehap aeroelastic characterisation and preliminary performance evaluation

Abstract Significant efforts are being devoted in order to develop efficient and reliable energy harvesters based on interactions between structures and environmental fluid flows such as wind or marine currents. In this framework, a fully-passive energy harvester of centimetric size employing an elastically bounded wing has been developed. The system exploits the coupled-mode flutter, leading in certain conditions to finite amplitude and self-sustained oscillations. Electrical output power levels up to 15[mW] have been reached by an experimental prototype within a wind range between 2 and 5 [m/s] by means of electromagnetic coupling as the conversion strategy. Focusing on the aeroelastic point of view, it is crucial to investigate how the kinematics (i.e. flapping amplitude and frequency, phase between the pitch and plunge motion DoFs) varies with the main parameters (e.g. wind velocity and wing geometry), in order to identify the optimal conditions for potential harvesting. With this goal in mind, we present and discuss the results for a representative configuration of the device (first without the extraction mechanism), exploring the behavior within the design wind range, combining wind-tunnel experiments, three-dimensional CFD simulations and the development of a quasi-steady phenomenological model. We find that both the amplitude and the frequency of the flapping motion are maximised for a certain wind velocity. Moreover, the phase between pitch and plunge changes abruptly when close to this condition. Hence, we estimate the mechanical power that the wing is able to collect and the Betz efficiency, e.g. the ratio between the latter and the power available in the flow. The mathematical model is then enriched by additional terms mimicking an electrical resistive circuit and predictions are made regarding the extracted power and global efficiency of the system, showing the presence of optimal conditions for which these quantities are maximised. Finally, we outline future challenges in the harvester development towards a realistic deployment

Generalization of Taylor's formula to particles of arbitrary inertia

One of the cornerstones of turbulent dispersion is the celebrated Taylor's formula. This formula expresses the rate of transport (i.e., the eddy diffusivity) of a tracer as a time integral of the fluid velocity autocorrelation function evaluated along the fluid particle trajectories. Here, we review the hypotheses which permit us to extend Taylor's formula to particles of any inertia. The hypotheses are independent of the details of the inertial particle model. We also show by explicit calculation that the hypotheses encompass cases when memory terms such as Basset's and Faxén's corrections are taken into account in the modeling of inertial particle dynamics.One of the cornerstones of turbulent dispersion is the celebrated Taylor's formula. This formula expresses the rate of transport (i.e., the eddy diffusivity) of a tracer as a time integral of the fluid velocity autocorrelation function evaluated along the fluid particle trajectories. Here, we review the hypotheses which permit us to extend Taylor's formula to particles of any inertia. The hypotheses are independent of the details of the inertial particle model. We also show by explicit calculation that the hypotheses encompass cases when memory terms such as Basset's and Faxén's corrections are taken into account in the modeling of inertial particle dynamics.One of the cornerstones of turbulent dispersion is the celebrated Taylor's formula. This formula expresses the rate of transport (i.e., the eddy diffusivity) of a tracer as a time integral of the fluid velocity autocorrelation function evaluated along the fluid particle trajectories. Here, we review the hypotheses which permit us to extend Taylor's formula to particles of any inertia. The hypotheses are independent of the details of the inertial particle model. We also show by explicit calculation that the hypotheses encompass cases when memory terms such as Basset's and Faxén's corrections are taken into account in the modeling of inertial particle dynamics.Peer reviewe

Klessydra-T: Designing Vector Coprocessors for Multi-Threaded Edge-Computing Cores

Computation intensive kernels, such as convolutions, matrix multiplication and Fourier transform, are fundamental to edge-computing AI, signal processing and cryptographic applications. Interleaved-Multi-Threading (IMT) processor cores are interesting to pursue energy efficiency and low hardware cost for edge-computing, yet they need hardware acceleration schemes to run heavy computational workloads. Following a vector approach to accelerate computations, this study explores possible alternatives to implement vector coprocessing units in RISC-V cores, showing the synergy between IMT and data-level parallelism in the target workloads.Comment: Final revision accepted for publication on IEEE Micro Journa