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Axial flow in a two-dimensional microchannel induced by a travelling temperature wave imposed at the bottom wall

Published online by Cambridge University Press:  13 June 2018

Chenguang Zhang
Affiliation:
Cain Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Harris Wong*
Affiliation:
Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Krishnaswamy Nandakumar
Affiliation:
Cain Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
*
†Email address for correspondence: hwong@lsu.edu

Abstract

Fluid flow in microchannels has wide industrial and scientific applications. Hence, it is important to explore different driving mechanisms. In this paper, we study the net transport or fluid pumping in a two-dimensional channel induced by a travelling temperature wave applied at the bottom wall. The Navier–Stokes equations with the Boussinesq approximation and the convection–diffusion heat equation are made dimensionless by the height of the channel and a velocity scale obtained by a dominant balance between buoyancy and viscous resistance in the momentum equation. The system of equations is transformed to an axial coordinate that moves with the travelling temperature wave, and we seek steady solutions in this moving frame. Four dimensionless numbers emerge from the governing equations and boundary conditions: the Reynolds number $Re$ , a Reynolds number $Rc$ based on the wave speed, the Prandtl number $Pr$ and the dimensionless wavenumber $K$ . The system of equations is solved by a finite-volume method and by a perturbation method in the limit $Re\rightarrow 0$ . Surprisingly, the leading and first-order perturbation solutions agree well with the computed axial flow for $Re\leqslant 10^{3}$ . Thus, the analytic perturbation solutions are used to study systematically the effects of $Re$ , $Rc$ , $Pr$ and $K$ on the dimensionless induced axial flow $Q$ . We find that $Q$ varies linearly with $Re$ , and $Q/Re$ versus any of the three remaining dimensionless groups always exhibits a maximum. The global maximum of $Q/Re$ in the parameter space is subsequently determined for the first time. This induced axial flow is driven solely by the Reynolds stress.

Information

Type
JFM Papers
Copyright
© 2018 Cambridge University Press 
Figure 0

Figure 1.A sketch of the two-dimensional microchannel and the thermal boundary conditions.

Figure 1

Figure 2.Contour plots of temperature $T$ (a) and streamfunction $\unicode[STIX]{x1D6F9}$ (b) for $Re=Rc=Pr=1$ and $K=2\unicode[STIX]{x03C0}$. The solid lines are analytic leading-order asymptotic solutions, and the open circles are numerical solutions calculated using OpenFOAM.

Figure 2

Figure 3.Contour plots of temperature $T$ (a) and streamfunction $\unicode[STIX]{x1D6F9}$ (b) for $Re=1000$, $Rc=10$, $K=\unicode[STIX]{x03C0}$ and $Pr=0.1$. The solid lines are analytic leading-order asymptotic solutions, and the open circles are numerical solutions computed using OpenFOAM. Note the $x$ range is different from that in figure 2.

Figure 3

Figure 4.The Reynolds stress $\overline{uv}(y)$. The cases in figures 2 and 3 are plotted in (a) and (b), respectively. Shown in each panel are the numerical solution (open circles) and the leading-order asymptotic solution of $\overline{u_{0}v_{0}}(y)$ (solid line).

Figure 4

Figure 5.Ratio of volume flow rate $Q$ to $Re$ versus $Re$ for $K=2\unicode[STIX]{x03C0}$, $Pr=1$ and various $Rc$ values. The $Rc=10$ case is pushed to extra high $Re$ to show the divergence of the numerical and asymptotic solutions.

Figure 5

Figure 6.The horizontally averaged velocity profile $\bar{u}(y)$. The cases in figures 2 and 3 are plotted in (a) and (b), respectively. Shown in each panel are the numerical solution (open circles), the leading-order asymptotic solution $\bar{u}_{0}$ (dashed line) and the first-order solution $Re\,\bar{u}_{1}$ (solid line).

Figure 6

Figure 7.First-order asymptotic flow rate $Q_{1}$ versus $Rc$ for $K=2\unicode[STIX]{x03C0}$ and various $Pr$. The solid lines are the full solution of $Q_{1}$ calculated by the method described in appendix B. The dashed lines are the small and large $Rc$ asymptotic solutions (5.5) and (5.14), respectively.

Figure 7

Figure 8.First-order volume flow rate $Q_{1}$ versus wavenumber $K$ for $Rc=1$ and various $Pr$. The solid curves are the full solution of $Q_{1}$ calculated by the method described in appendix B. The dashed lines are the small and large $K$ asymptotic solutions (5.15) and (5.16), respectively. The open circles are the small $Rc$ asymptotic solution (5.5).

Figure 8

Figure 9.First-order asymptotic volume flow rate $Q_{1}$ versus Prandtl number for $K=2\unicode[STIX]{x03C0}$ and various $Rc$. The solid curves are the full solution of $Q_{1}$ calculated by the method described in appendix B. The dashed lines are the scaling $1+Pr$ as $Pr\rightarrow 0$ and $Pr^{-3}$ as $Pr\rightarrow \infty$. All curves shown exhibit a maximum in $|Q_{1}|$.

Figure 9

Figure 10.The maximum value $Q_{1m}$ of $Q_{1}$ versus $Rc_{m}$ for various $K$ and $Pr$. Each set of $(Rc_{m},K,Pr)$ locates a point in the parameter space where $Q_{1}$ reaches a locally constrained maximum with value $Q_{1m}$. Constant $Pr$ curves are drawn in solid lines, while constant $K$ curves are drawn in dashed lines with alternating dash patterns. The inset is an expanded view of the ‘turning point’ of the $Pr=10$ curve.

Figure 10

Figure 11.$Rc_{m}$ versus $K$ for various $Pr$ from the data in figure 10. The left and right dashed lines represent $K^{-1}$ and $K$ scalings, respectively.

Figure 11

Figure 12.Temperature contours and streamlines for $Re=10\,000$, $Rc=10$, $Pr=1$ and $K=2\unicode[STIX]{x03C0}$. Both the white numbered contours and the colour plot show the temperature field. The solid black curves are the streamlines. The two separating streamlines are coloured in red. Five cross-sections (marked by capital letters) are used to calculate flow rates across them, which are $Q_{A}=-7.029\times 10^{-5},Q_{B}=-3.647\times 10^{-8},Q_{C}=-9.610\times 10^{-8},Q_{D}=-7.032\times 10^{-5}$ and $Q_{E}=-6.988\times 10^{-5}$, while the axial volume flow rate is $Q=-7.032\times 10^{-5}$.

Figure 12

Figure 13.The horizontally averaged temperature profile $\bar{T}(y)$. The cases in figures 2 and 3 are plotted in (a) and (b), respectively. Shown in each panel are the numerical solution (open circles), the leading-order asymptotic solution $\bar{T}_{0}$ (dashed line) and the first-order solution $Re\bar{T}_{1}$ (solid line).

Figure 13

Figure 14.The vertical velocity $v(y)$ at $x=1/4$ as a function of $y$ for $Re=1$, $Rc=500$, $K=2\unicode[STIX]{x03C0}$ and $Pr=1$. For $K=2\unicode[STIX]{x03C0}$ and $x=1/4$, equation (3.5a) gives $v(y)=\text{Re}[F_{c}(y)]$. Shown together are the numerical solution (open circles), the leading-order asymptotic solution from appendix A (solid line) and the composite solution $F_{c}$ in (C 13) (dashed line). The inset is an expanded view of the top boundary layer.