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Direct numerical simulation of a wall jet: flow physics

Published online by Cambridge University Press:  08 August 2018

Iftekhar Z. Naqavi*
Affiliation:
Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
James C. Tyacke
Affiliation:
Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
Paul G. Tucker
Affiliation:
Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
*
†Email address for correspondence: izn20@eng.cam.ac.uk

Abstract

A direct numerical simulation (DNS) of a plane wall jet is performed at a Reynolds number of $Re_{j}=7500$. The streamwise length of the domain is long enough to achieve self-similarity for the mean flow and the Reynolds shear stress. This is the highest Reynolds number wall jet DNS for a large domain achieved to date. The high resolution simulation reveals the unsteady flow field in great detail and shows the transition process in the outer shear layer and inner boundary layer. Mean flow parameters of maximum velocity decay, wall shear stress, friction coefficient and jet spreading rate are consistent with several other studies reported in the literature. Mean flow, Reynolds normal and shear stress profiles are presented with various scalings, revealing the self-similar behaviour of the wall jet. The Reynolds normal stresses do not show complete similarity for the given Reynolds number and domain length. Previously published inner layer budgets based on LES are inaccurate and those that have been measured are only available in the outer layer. The current DNS provides fully balanced, explicitly calculated budgets for the turbulence kinetic energy, Reynolds normal stresses and Reynolds shear stress in both the inner and outer layers. The budgets are scaled with inner and outer variables. The inner-scaled budgets in the near wall region show great similarity with turbulent boundary layers. The only remarkable difference is for the turbulent diffusion in the wall-normal Reynolds stress and Reynolds shear stress budgets. The outer layer interacts with the inner layer through turbulent diffusion and the excess energy from the wall-normal direction is transferred to the spanwise direction.

Information

Type
JFM Papers
Copyright
© 2018 Cambridge University Press 
Figure 0

Figure 1. Various length and velocity parameters used for wall jet scaling.

Figure 1

Figure 2. (a) Inlet nozzle geometry from the experiment (Rostamy et al.2011b), (b) mean streamwise velocity and Reynolds stress at the inlet slot $(x/h=0)$ and (c) mean convective velocity $U_{conv}$ profile for the outflow boundary condition.

Figure 2

Figure 3. Quantification of the grid resolution of the current simulations: (a) grid size $\unicode[STIX]{x0394}x^{+},\unicode[STIX]{x0394}y^{+}$ and $\unicode[STIX]{x0394}z^{+}$ distribution along the streamwise direction in wall units, (b) contours of $\unicode[STIX]{x0394}y^{+}$, the dashed line indicates the location of jet half-width $y=y_{1/2}$, (c) contours of mean grid size $\unicode[STIX]{x1D6E5}=(\unicode[STIX]{x0394}x+\unicode[STIX]{x0394}y+\unicode[STIX]{x0394}z)/3.0$ with respect to the Kolmogorov length scale $\unicode[STIX]{x1D702}$ and (d) actual grid distribution in $x{-}y$ plane with every 21st point in the streamwise and every 11th point in the wall-normal direction shown.

Figure 3

Figure 4. Mean streamwise velocity and turbulent kinetic energy $(tke)$ profiles at $x=30.0h$ for coarse and fine grids: (a) outer scaling and (b) inner scaling.

Figure 4

Figure 5. Iso-surfaces of the second invariant of the velocity gradient tensor in the wall jet. The iso-surfaces are coloured with the local streamwise velocity $u$. The $x{-}y$ plane shows the contours of spanwise averaged fluctuating pressure field $\langle p^{\prime }\rangle _{z}$ and closed streamlines representing the footprint of large scale rotating structures.

Figure 5

Figure 6. Iso-surfaces of the second invariant of the velocity gradient tensor in the inner layer region of the wall jet. The iso-surfaces are coloured with the local streamwise velocity $u$.

Figure 6

Figure 7. The decay of maximum mean streamwise velocity $U_{max}$ as a function of: (a) local streamwise distance from the jet inlet scaled with the slot height and (b) the local half-width $y_{1/2}$ normalized with the slot height. Current DNS (▫); power law fit to current DNS (——). LES of Banyassady & Piomelli (2014) (●). Experimental data: Tang et al. (2015) (– – –); Barenblatt et al. (2005) (— ⋅ ⋅ —); George et al. (2000) (— ⋅ —).

Figure 7

Figure 8. Streamwise development of the wall-normal location $y_{max}$ of $U_{max}$. Current DNS (▫); power law fit to current DNS (——). Experimental data: Tang et al. (2015) (– – –); Tachie, Balachandar & Bergstrom (2004), linear fit (— ⋅ —), $Re=9100$ (▵), $Re=6100$ (○).

Figure 8

Figure 9. Wall jet spreading rate in (a) the outer layer and (b) the inner layer. Current DNS (▫); power law fit to current DNS (——). Experimental data: Tang et al. (2015) (– – –); Launder & Rodi (1981) (— ⋅ —); Eriksson et al. (1998) (— ⋅ ⋅ —).

Figure 9

Figure 10. (a) Streamwise development of the wall shear stress scaled with momentum–viscosity scaling. Current DNS (▫); power law fit to current DNS (——). LES of Banyassady & Piomelli (2014) (●). Experimental data: Rostamy et al. (2011b) (– – –); Wygnanski et al. (1992) (— ⋅ —). (b) Variation of skin friction coefficient $C_{f}$ with local Reynolds number $Re_{m}=U_{max}y_{max}/\unicode[STIX]{x1D708}$. Current DNS (▫). LES of Banyassady & Piomelli (2015) (●). Experimental data: Eriksson et al. (1998) (▵); Tachie et al. (2004) (▿); Rostamy et al. (2011b) (○); George et al. (2000) (— ⋅ ⋅ —).

Figure 10

Table 1. Various power laws for wall jets.

Figure 11

Figure 11. Mean streamwise velocity profiles scaled with outer length scales (a) $\langle u\rangle /U_{max}$ and (b) $(\langle u\rangle -U_{\infty })/(U_{max}-U_{\infty })$. LES of Banyassady & Piomelli (2014) (●), $x=30h$. Experimental data: Rostamy et al. (2011a) (○), $x=30h$; Eriksson et al. (1998) (▵), $x=40h$; Irwin (1973) (▿), $x=82.2h$.

Figure 12

Figure 12. Mean wall-normal velocity profiles scaled with outer parameters. Experimental data: Eriksson et al. (1998) (▵), $x=70h$.

Figure 13

Figure 13. Inner-scaled mean streamwise velocity profiles $\langle u\rangle ^{+}$. Log-law $\langle u\rangle ^{+}=2.44\ln (y^{+})+5.0$ (— ⋅ ⋅ —). Linear profile $\langle u\rangle ^{+}=y^{+}$ ($\cdots \cdots$). LES of Banyassady & Piomelli (2014) (●), $x=30h$. Experimental data: Rostamy et al. (2011a) (○), $x=30h$; Eriksson et al. (1998) (▵), $x=40h$.

Figure 14

Figure 14. Mean streamwise velocity profiles scaled with incomplete similarity parameters of Barenblatt et al. (2005): (a) outer scaled profiles and (b) inner-scaled profiles.

Figure 15

Figure 15. Outer-scaled Reynolds normal and shear stress profiles: (a) streamwise $\langle u^{\prime }u^{\prime }\rangle$; (b) wall-normal $\langle v^{\prime }v^{\prime }\rangle$; (c) spanwise $\langle w^{\prime }w^{\prime }\rangle$ and (d) shear stress $\langle u^{\prime }v^{\prime }\rangle$. LES of Banyassady & Piomelli (2014) (●), $x=30h$. Experimental data: Rostamy et al. (2011a) (○), $x=30h$; Eriksson et al. (1998) (▵), $x=40h$; Irwin (1973) (▿), $x=82.2h$.

Figure 16

Figure 16. Inner-scaled Reynolds normal and shear stress profiles (a) streamwise $\langle u^{\prime }u^{\prime }\rangle ^{+}$, (b) wall-normal $\langle v^{\prime }v^{\prime }\rangle ^{+}$, (c) spanwise $\langle w^{\prime }w^{\prime }\rangle ^{+}$ and (d) shear stress $\langle u^{\prime }v^{\prime }\rangle ^{+}$ and velocity gradient $y^{+}(\text{d}\langle u\rangle ^{+}/\text{d}y^{+})$ at $x=30h$. LES of Banyassady & Piomelli (2014) (●), $x=30h$. Experimental data: Rostamy et al. (2011a) (○), $x=30h$; Eriksson et al. (1998) (▵), $x=40h$.

Figure 17

Figure 17. (a) Correct scaling of shear stress profile according to George et al. (2000). Experimental data: Eriksson et al. (1998) (▵), $x=40h$ and (b) inner-scaled shear stress profiles with respect to incomplete similarity parameters (Barenblatt et al.2005).

Figure 18

Figure 18. Frequency spectra of velocity and pressure fluctuations at $x/h=30$ (a) streamwise $E_{u^{\prime }}$ at: $y^{+}=5$ (– – –); $y^{+}=17$ (— ⋅ —); $y/y_{1/2}=0.2$ (——); $y/y_{1/2}=0.8$ (— ⋅ ⋅ —), (b) wall-normal $E_{v^{\prime }}$ at: $y^{+}=5$ (– – –); $y^{+}=17$ (— ⋅ —); $y/y_{1/2}=0.2$ (——); $y_{1/2}=0.8$ (— ⋅ ⋅ —), (c) spanwise $E_{w^{\prime }}$ at: $y^{+}=5$ (– – –); $y^{+}=40$ (— ⋅ —); $y/y_{1/2}=0.2$ (——); $y/y_{1/2}=0.8$ (— ⋅ ⋅ —) and (d) pressure $E_{p^{\prime }}$ at: $y^{+}=5$ (– – –); $y^{+}=17$ (— ⋅ —); $y/y_{1/2}=0.2$ (——); $y/y_{1/2}=0.8$ (— ⋅ ⋅ —).

Figure 19

Figure 19. Turbulence kinetic energy ($tke$), Reynolds normal and shear stress budgets in the near wall region. The terms are normalized with $u_{\unicode[STIX]{x1D70F}}^{4}/\unicode[STIX]{x1D708}$: (a) $tke=(\langle u^{\prime }u^{\prime }\rangle +\langle v^{\prime }v^{\prime }\rangle +\langle w^{\prime }w^{\prime }\rangle )/2$; (b) $\langle u^{\prime }u^{\prime }\rangle$; (c) $\langle v^{\prime }v^{\prime }\rangle$; (d) $\langle w^{\prime }w^{\prime }\rangle$ and (e) $\langle u^{\prime }v^{\prime }\rangle$. LES of wall jet by Dejoan & Leschziner (2005): production (▴); dissipation (▪); velocity–pressure gradient correlation (●); turbulent diffusion (▾). DNS of turbulent boundary layer by Spalart (1988): production (▵); dissipation (▫); velocity–pressure gradient correlation (○); turbulent diffusion (▿).

Figure 20

Figure 20. Turbulence kinetic energy ($tke$), Reynolds normal and shear stress budgets in the outer layer region. The terms are normalized with $(U_{max}-U_{\infty })^{3}/y_{1/2}$. Legends for DNS are same as in figure 19. (a) $tke=(\langle u^{\prime }u^{\prime }\rangle +\langle v^{\prime }v^{\prime }\rangle +\langle w^{\prime }w^{\prime }\rangle )/2$, (b) $\langle u^{\prime }u^{\prime }\rangle$, (c) $\langle v^{\prime }v^{\prime }\rangle$, (d) $\langle w^{\prime }w^{\prime }\rangle$ and (e) $\langle u^{\prime }v^{\prime }\rangle$. LES of wall jet by Dejoan & Leschziner (2005): production (▴); dissipation (▪); velocity–pressure gradient correlation (●). Experimental data, Irwin (1973): production (▵); dissipation (▫); turbulent diffusion ($+$) and Zhou et al. (1996): Production (▿); dissipation (♢); turbulent diffusion ($\ast$).

Figure 21

Figure 21. The inner-scaled velocity–pressure gradient correlation, pressure diffusion and pressure–strain correlation profiles in the near wall region for: (a) $tke=(\langle u^{\prime }u^{\prime }\rangle +\langle v^{\prime }v^{\prime }\rangle +\langle w^{\prime }w^{\prime }\rangle )/2$; (b) $\langle u^{\prime }u^{\prime }\rangle$; (c) $\langle v^{\prime }v^{\prime }\rangle$; (d) $\langle v^{\prime }v^{\prime }\rangle$ channel flow (Mansour, Kim & Moin 1988); (e) $\langle w^{\prime }w^{\prime }\rangle$ and (f) $\langle u^{\prime }v^{\prime }\rangle$.

Figure 22

Figure 22. Inner and outer-scaled profiles of triple-velocity correlation.