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The reciprocal theorem in fluid dynamics and transport phenomena

Published online by Cambridge University Press:  30 September 2019

Hassan Masoud*
Affiliation:
Department of Mechanical Engineering–Engineering Mechanics, Michigan Technological University, Houghton, Michigan 49931, USA
Howard A. Stone*
Affiliation:
Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, USA
*
†Email addresses for correspondence: hmasoud@mtu.edu, hastone@princeton.edu
†Email addresses for correspondence: hmasoud@mtu.edu, hastone@princeton.edu

Abstract

In the study of fluid dynamics and transport phenomena, key quantities of interest are often the force and torque on objects and total rate of heat/mass transfer from them. Conventionally, these integrated quantities are determined by first solving the governing equations for the detailed distribution of the field variables (i.e. velocity, pressure, temperature, concentration, etc.) and then integrating the variables or their derivatives on the surface of the objects. On the other hand, the divergence form of the conservation equations opens the door for establishing integral identities that can be used for directly calculating the integrated quantities without requiring the detailed knowledge of the distribution of the primary variables. This shortcut approach constitutes the idea of the reciprocal theorem, whose closest relative is Green’s second identity, which readers may recall from studies of partial differential equations. Despite its importance and practicality, the theorem may not be so familiar to many in the research community. Ironically, some believe that the extreme simplicity and generality of the theorem are responsible for suppressing its application! In this Perspectives piece, we provide a pedagogical introduction to the concept and application of the reciprocal theorem, with the hope of facilitating its use. Specifically, a brief history on the development of the theorem is given as a background, followed by the discussion of the main ideas in the context of elementary boundary-value problems. After that, we demonstrate how the reciprocal theorem can be utilized to solve fundamental problems in low-Reynolds-number hydrodynamics, aerodynamics, acoustics and heat/mass transfer, including convection. Throughout the article, we strive to make the materials accessible to early career researchers while keeping it interesting for more experienced scientists and engineers.

Information

Type
JFM Perspectives
Copyright
© 2019 Cambridge University Press 
Figure 0

Figure 1. (a) A diagram highlighting the advantage of using the reciprocal theorem versus following the conventional problem-solving approach for calculating integrated quantities, such as forces and torques in Stokes flows. Similar diagrams can be drawn for certain classes of inviscid flows and heat/mass transfer problems (see §§ 8–10). (b) Early contributors to the idea of the reciprocal theorem in physics and engineering. The portrait of Sir Horace Lamb is adapted, with permission, from National Portrait Gallery, London. The remaining photographs are adapted from Wikipedia.

Figure 1

Figure 2. Schematic of an arbitrarily shaped particle, with surface $S_{p}$ and unit outward normal vector $\boldsymbol{n}$, in an unbounded fluid domain. The dashed line indicates an enclosing boundary in the ‘far field’.

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Figure 3. Boundary conditions on the surface of a ‘near sphere’ (a) can be mapped to the boundary of the unperturbed sphere (b) using a Taylor series expansion.

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Figure 4. Velocity field and pressure distribution (colour contours) produced by a point force in Stokes flow. The grey circle and arrow indicate the location and direction of the point source, respectively. The smaller dark grey circle represents a typical field point.

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Figure 5. (a) Sequence of photographs depicting the translation of two interacting air bubbles in a large container of corn syrup and (b) the corresponding simulation using the boundary integral formulation described in § 4.4 (adapted from Manga & Stone 1993). (c,d) Two additional examples of numerical simulations developed from the integral representation of the solution to the Stokes equations. (c) Flow of red blood cells in a cylindrical tube (adapted, with permission, from Zhao et al.2010). (d) Flow of droplets through a porous media; the droplets have the same viscosity as the suspending fluid (adapted, with permission, from Zinchenko & Davis 2008).

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Figure 6. Invariance of streamlines to flow reversal in an axisymmetric Stokes flow past a cone. The flow field is calculated numerically using a second-order finite-volume method. The figure is adapted from Vandadi, Jafari Kang & Masoud (2016).

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Table 1. Examples of studies that employed a geometrical perturbation in conjunction with the reciprocal theorem for calculating the particle mobility.

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Figure 7. A thin oblate spheroid (a) or a slender lens (c) can be approximated geometrically as a perturbed disk (b).

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Figure 8. Uniform Stokes flow past (a) a porous and (b) an impermeable particle. Using the reciprocal theorem, the detailed solution of (b) can be used to obtain the drag on the particle in (a) when the particle permeability is low. The image in (a) is adapted, with permission, from Reyes (2015). (c) Comparison between the exact (Debye & Bueche 1948) and approximate (via the reciprocal theorem, see (5.44)) results for the drag on a porous sphere of radius $R$ as a function of its permeability $k$.

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Figure 9. Poiseuille flow over a stationary sphere located between two parallel plates.

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Table 2. Representative investigations that examined particle mobility in various contexts not explicitly discussed in § 5.

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Figure 10. Fluid flow around a Volvox (a form of green algae) held stationary by a micropipette (adapted, with permission, from Goldstein 2011). This microorganism self-propels due to the beating motion of a ciliary layer covering its surface. The diameter of the colony measures roughly $500~\unicode[STIX]{x03BC}\text{m}$.

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Table 3. Examples of studies, not including those discussed in the text, that use the reciprocal theorem for calculating the speed of swimmers, i.e. self-propelled particles.

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Table 4. Representative investigations, not including those discussed in the text, that utilize the reciprocal theorem to examine the phoretic motion of particles.

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Figure 11. Marangoni propulsion of an oblate spheroidal particle at a flat interface above a semi-infinite liquid layer. The colour map at the interface represents the surface tension distribution stemming either from the discharge of an insoluble agent or from the release of heat by the particle; $S_{i}$ and $\ell _{p}$ denote, respectively, the liquid–gas interface and three-phase contact line pinned to the particle at $90^{\circ }$ contact angle. The figure is adapted from Vandadi, Jafari Kang & Masoud (2017).

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Figure 12. A channel flow driven by a slip velocity at its wall.

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Figure 13. Flow past an arbitrarily cambered airfoil, i.e. an infinitely long wing, at a small angle of attack (left) and the reverse flow over a thin flat plate (right).

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Figure 14. Schematic representation of the concept of acoustic reciprocity discussed in § 9.2. (a) The source and receiver are located at points $\boldsymbol{{\mathcal{R}}}_{A}$ and $\boldsymbol{{\mathcal{R}}}_{B}$, respectively. (b) The locations of the source and receiver are switched. The acoustic signal detected at $\boldsymbol{{\mathcal{R}}}_{B}$ in panel (a) is equal to the one sensed at $\boldsymbol{{\mathcal{R}}}_{A}$ in panel (b). The speaker and ear illustrations are adapted, with permission, from PSDGraphics and CGTrader, respectively.

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Figure 15. Uniform Stokes flow past a sphere with varying temperature and heat flux boundary conditions. (a) Distributions of the prescribed surface temperature $T_{s}$ and heat flux $q$ corresponding to the normalized temperature fields illustrated in parts (b) and (c), respectively; $T_{s}$ and $q_{s}$ are azimuthally independent, i.e. they are not function of $\unicode[STIX]{x1D711}$. The results are obtained using a second-order finite-volume method, while setting $Pe=0.5$ and the mean boundary values $\overline{T}_{s}=\bar{q}=1$. The figure is adapted from Vandadi et al. (2016).

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Figure 16. Uniform Stokes flow past a cone. (a,b) Flow from the left to the right and (c,d) from the right to the left. (a,c) Show the steady-state distribution of the temperature in a meridian plane corresponding to a uniform surface temperature whereas (b,d) depict the temperature field for a uniform heat flux imposed on the surface of the cone. The results are obtained using a second-order finite-volume method and $Pe=100$ in all cases. Although the temperature distributions are different in (a) versus (c) and (b) versus (d), the corresponding average heat transfer coefficients are the same. The figure is adapted from Vandadi et al. (2016).