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Theory of acoustic streaming for arbitrary Reynolds number flow

Published online by Cambridge University Press:  15 November 2023

Oles Dubrovski
Affiliation:
Interdisciplinary Graduate Program in Applied Mathematics, Technion – Israel Institute of Technology, Haifa 32000, Israel
James Friend
Affiliation:
Materials Science and Engineering Program and the Department of Mechanical and Aerospace Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
Ofer Manor*
Affiliation:
Department of Chemical Engineering, Technion – Israel Institute of Technology, Haifa 32000, Israel
*
Email address for correspondence: manoro@technion.ac.il

Abstract

We study a fifty-year-old problem of fast acoustic streaming, that is, the generation of moderate or large hydrodynamic Reynolds number ($\textit {Re}$) acoustic streaming (or steady flow) by the convection of momentum in an acoustic wave (or another periodic flow), while the latter is simultaneously altered by the former. The intrinsic disparity of length and time scales makes a brute-force solution of the full Navier–Stokes and continuity equations a formidable problem. Circumventing this difficulty, we split the problem into a time-averaged system of equations for the steady flow component and a dynamic system of equations for its quasi-periodic flow counterpart. The latter system of equations is obtained by subtracting the time-averaged Navier–Stokes equation from its original dynamic form, and is rendered a nonlinear wave equation using the continuity equation and an adiabatic connection between density and pressure. The resulting equations are compatible with the theory by Eckart for small $\textit {Re}$ flow, and capture large-$\textit {Re}$ effects. Scaling analysis and a case study show that acoustic streaming is weak and does not contribute to the acoustic wave close to the wave source, relevant to many microfluidic systems. At small $\textit {Re}$, the streaming magnitude is proportional to an inverse Strouhal number, a small quantity in experiments. Moderate and large $\textit {Re}$ render the streaming magnitude comparable to the pre-attenuating periodic flow (or particle velocity of the wave) at approximately a wave attenuation length away from the wave source or further; the wave is altered by the streaming that it generates, and the streaming dominates the flow far from the wave source.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.
Figure 0

Figure 1. A model system that is symmetric about the $x$ axis, where acoustic waves are generated by an acoustic horn at $x=0$, produce acoustic streaming as they attenuate, and absorb in a solid obstacle – an acoustic absorber – at $x=l$.

Figure 1

Figure 2. (a) Leading-order ($u_0$) asymptotic results for small (red) and large (blue) hydrodynamic Reynolds numbers, $\textit {Re}$; in the latter, we include the hydrodynamic boundary layer flow near the obstacle (dashed black), which appears here almost as a vertical line at $x\approx 30$. We introduce leading-order corrections (b) to the small $\textit {Re}$ asymptotic result for various Strouhal numbers, $St = \textit {Re}'/\textit {Re}$, and (c) to the large-$\textit {Re}$ asymptotic result for various $\textit {Re}$. Leading-order results $u_0$, and corrections $u_1$, are given in red and blue, respectively, and the two first terms in the asymptotic series, $u/{St}^{-1}=u_0+{St}^{-1}\,u_1$ and $u=u_0+\textit {Re}^{-1/2}\,u_1$ are in black. (d) We further magnify the hydrodynamic boundary layer flow near the wave absorber obstacle for various levels of large $\textit {Re}$. In the different results, we assume a linear harmonic acoustic wave and the acoustic attenuation coefficient $\alpha =0.01$, and use the friction coefficient $b=0.01$ for small $\textit {Re}$, and $St=0.01$ for large $\textit {Re}$.

Figure 2

Figure 3. Spatial ($x$) variations of (a) acoustic streaming velocity $u$ for low and moderate Reynolds number, $\textit {Re}$, in comparison to the asymptotic result for $\textit {Re}\rightarrow 0$, and a comparison between the spatiotemporal periodic flow $m$ in a (red) linear acoustic wave (independent of acoustic streaming) against (blue) its nonlinear counterpart for (b) $\textit {Re}=1$ and (c) $\textit {Re}=0.01$, in addition to the sum of acoustic streaming $u$ and the spatiotemporal periodic flow $m$ in a nonlinear acoustic wave for (d) $\textit {Re}=1$, (e) $\textit {Re}=0.5$ and (f) $\textit {Re}=0.1$, where in all cases, excluding the asymptotic analysis, we set the Strouhal number to $St = 10$.

Figure 3

Figure 4. Spatial ($x$) variations of (a) acoustic streaming velocity $u$ for different values of the Strouhal number $St$, and a comparison between the spatiotemporal periodic flow $m$ in a (red) linear acoustic wave (independent of acoustic streaming) against (blue) its nonlinear counterpart for (b) $St = 10$ and (c) $St = 100$, in addition to the sum of acoustic streaming $u$ and the spatiotemporal periodic flow in a nonlinear acoustic wave $m$, for (d) $St = 10$, where in all cases we assume the large-Reynolds-number $\textit {Re}\rightarrow \infty$ asymptotics for $u$.