Abstract
Performance of simple, fluidic harvesters consisting of a piezoelectric cantilever strongly relies on a time-dependent fluid forcing they experience. To quantify this forcing, an analytical solution of a pressure Poisson equation (PPE) is presented that uses particle image velocimetry (PIV) data to calculate pressure around the harvester. This analytical solution is based on a modified Green’s function approach and provides a favorable method of calculating the pressure field from PIV data. It eliminates a need to compute higher-order derivatives of velocity that are present in the viscous terms and it eliminates the need to integrate Navier–Stokes equations to find the pressure along the boundaries of interest. An experiment was carried out to validate this solution. Pressure distribution along the piezoelectric cantilever was calculated by solving PPE analytically as a single vortex passed over it. This distribution was then integrated to calculate the net force acting on the beam. Euler–Bernoulli theory was then used to predict the beam’s dynamic response based on the calculated pressure. Using dielectric properties of the piezoelectric harvester, the voltage and total power output were computed from the motion of the beam. These values were compared to the voltage and power directly measured during the experiment.
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References
Akaydin, H.D., Elvin, N., Andreopoulos, Y.: Energy harvesting from highly unsteady fluid flows using piezoelectric materials. J. Intell. Mater. Syst. Struct. 21(13), 1263–1278 (2010)
Baur, T., Köngeter, J.: PIV with high temporal resolution for the determination of local pressure reductions from coherent turbulence phenomena. In: 3rd International Workshop on Particle Image Velocimetry. Santa Barbara (1999)
Danesh-Yazdi, A.H., Goushcha, O., Elvin, N., Andreopoulos, Y.: Fluidic energy harvesting beams in grid turbulence. Exp. Fluids 56(8), 161 (2015)
de Kat, R., van Oudheusden, B.W.: Instantaneous planar pressure determination from PIV in turbulent flow. Exp. Fluids 52(5), 1089–1106 (2012)
Elzawawy, A.: Time resolved particle image velocimetry techniques with continuous wave laser and their application to transient flows. Ph. D. Dissertation, The City College of New York, New York City (2012)
Erturk, A., Inman, D.J.: On mechanical modeling of cantilevered piezoelectric vibration energy harvesters. J. Intell. Mater. Syst. Struct. 19(11), 1311–1325 (2008)
Erturk, A., Inman, D.J.: A distributed parameter electromechanical model for cantilevered piezoelectric energy harvesters. J. Vib. Acoust. 130, 041002 (2008)
Fakhzan, M.N., Muthalif, A.G.A.: Harvesting vibration energy using piezoelectric material: modeling, simulation and experimental verifications. Mechatronics 23, 61–66 (2013)
Felippa, C.A.: Introduction to Finite Element Methods. University of Colorado, Colorado (2004)
Fujisawa, N., Nakamura, Y., Matsuura, F., Sato, Y.: Pressure field evaluation in microchannel junction flows through μPIV measurement. Microfluid. Nanofluid. 2(5), 447–453 (2006)
Goushcha, O., Elvin, N., Andreopoulos, Y.: Interactions of vortices with a flexible beam with applications in fluidic energy harvesting. Appl. Phys. Lett. 104(2), 021919 (2014)
Hildebrand, F.B.: Advanced Calculus for Applications. Prentice-Hall, Hoboken (1976)
Honkan, A., Andreopoulos, Y.: Vorticity, strain-rate and dissipation characteristics in the near-wall region of turbulent boundary layers. J. Fluid Mech. 350, 29–96 (1997)
Hosokawa, S., Moriyama, S., Tomiyama, A., Takada, N.: PIV measurement of pressure distributions about single bubbles. J. Nucl. Sci. Technol. (Tokyo) 40(10), 754–762 (2003)
Joshi, P., Liu, X., Katz, J.: Effect of mean and fluctuating pressure gradients on boundary layer turbulence. J. Fluid Mech. 748, 36–84 (2014)
Liu, X., Katz, J.: Instantaneous pressure and material acceleration measurements using a four-exposure PIV system. Exp. Fluids 41(2), 227 (2006)
Murai, Y., Nakada, T., Suzuki, T., Yamamoto, F.: Particle tracking velocimetry applied to estimate the pressure field around a Savonius turbine. Meas. Sci. Technol. 18(8), 2491–2503 (2007)
Noca, F., Shiels, D., Jeon, D.: A comparison of methods for evaluating time-dependent fluid dynamic forces on bodies, using only velocimetry fields and their derivatives. J. Fluids Struct. 13(5), 551–578 (1999)
Panciroli, R., Maurizio, P.: Evaluation of the pressure field on a rigid body entering a quiescent fluid through particle image velocimetry. Exp. Fluids. 54(12), 1–13 (2013)
Rao, S.S.: Vibration of Continuous Systems, vol. 464. Wiley, New York (2007)
Shams, A., Jalalisendi, M., Porfiri, M.: Experiments on the water entry of asymmetric wedges using particle image velocimetry. Phys. Fluids 27(2), 027103 (2015)
Thielicke, W., Stamhuis, E. J.: PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. Journal of Open Research Software, 2(1) (2014)
Unal, M.F., Lin, J.C., Rockwell, D.: Force prediction by PIV imaging: a momentum-based approach. J. Fluids Struct. 11(8), 965–971 (1997)
van Oudheusden, B.W.: PIV-based pressure measurement. Meas. Sci. Technol. 24(3), 32001 (2013)
van Oudheusden, B.W., Scarano, F., Roosenboom, E.W.M., Casimiri, E.W.F., Souverein, L.J.: Evaluation of integral forces and pressure fields from planar velocimetry data for incompressible and compressible flows. Exp. Fluids 43(2), 153–162 (2007)
Villegas, A., Diez, F.J.: Evaluation of unsteady pressure fields and forces in rotating airfoils from time-resolved PIV. Exp. Fluids 55(4), 1697 (2014)
Wu, J.-Z., Ma, H.-Y., Zhou, M.-D.: Vorticity and Vortex Dynamics. Springer, Berlin (2006)
Yao, M., Liu, P., Ma, L., Wang, H., Zhang, W.: Experimental study on broadband bistable energy harvester with L-shaped piezoelectric cantilever beam. Acta Mech. Sin. 36, 557–577 (2020)
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The present work is sponsored by the National Science Foundation under Grant No. CBET #1033117
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Appendices
Appendix 1
This appendix presents the solution if the boundary value problem shown as Eqs. (19)–(21) to obtain Hilbert’s function \(H(x, y; \xi , \eta )\)
with
and boundary conditions:
Using a finite cosine transform in \(\xi\)
Equation (20) becomes:
Similarly, applying a finite cosine transform in \(\eta\) Eq. (23) becomes:
Solving for \(\widehat{\widehat{{H}_{nm}}}\)
The simplest choice of the function \(\beta \left(\xi , \eta \right)\), which satisfies condition (20), is
Finite cosine transform of this function in \(\xi\) and \(\eta\) gives
Thus, the inversion of (25) yields:
where \({H}_{o}\) is an indeterminate constant whose value maybe arbitrary set. The Hilbert’s function has the symmetry property \(H\left(x, y; \xi , \eta \right)=H(\xi , \eta ;x, y)\). A sample plot of Hilbert’s function for \(x=y=0.5\) on the domain \(0\le \xi \le 1\) and \(0\le \eta \le 1\) is shown in Fig.
23.
Appendix 2
The force estimated by the PPE can be used to predict the transverse motion of the cantilever beam by solving the Euler–Bernoulli equation
Equation (29) is solved assuming a solution of the form
The modal shape function \({W}_{n}\left(x\right)\) is obtained using fixed-end and free-end boundary conditions for a cantilever beam of length \(L\), resulting in the classical expression
with the eigenvalues \({\xi }_{n}\) given by the real roots of the transcendental equation
The coefficient \({A}_{n}\) is arbitrary and for convenience may be defined so as to satisfy the condition
The function \({\eta }_{n}\left(t\right)\) in Eq. (30) satisfies the modal equation
where \({\omega }_{n}=\sqrt{\frac{EI}{\rho A} }{{\xi }_{n}}^{2}\) is the natural frequency, \({\zeta }_{n}=\frac{c}{2\rho A{\omega }_{n}}\) is the damping coefficient, and \(p\left(t\right)\) is the normalized forcing function:
The solution to Eq. (34) is
where \({\omega }_{d}={\omega }_{n}\sqrt{{1-\zeta }_{n}^{2}}\). The solution consists of two segments: one for times \(0\le \mathrm{t}\le {t}_{0}\) associated with the motion due to the distributed force on the cantilever; the second associated with the free vibration after time \({t}_{0}\), once the vortex exerts no force on the cantilever.
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Goushcha, O., Andreopoulos, Y. & Ganatos, P. A modified Green’s function approach to particle image velocimetry pressure estimates with an application to microenergy harvesters. Arch Appl Mech 93, 1217–1239 (2023). https://doi.org/10.1007/s00419-022-02324-w
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DOI: https://doi.org/10.1007/s00419-022-02324-w