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Effect of External Forcing on the Self-Similarity of Turbulent Jets

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Effect of External Forcing on the Self-Similarity of Turbulent Jets

Masoud Moeini

1

, Babak Khorsandi

2

1, 2- Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

Corresponding Author’s E-mail: [email protected]

Abstract

The perturbation of self-similarity assumption in turbulent jets in the presence of external forcing is investigated. External forcing introduces new parameters to the dynamical description of the flow which are in addition to those present in a pure jet. In contrast to the very advantageous and plausible similarity assumption made for jets released into quiescent ambient flows (pure jet), we will argue based on experimental results that the premise of complete self-similarity is not tenable for jets exposed to the external forcing. This would restrict the applicability of most pollution dispersion models which have been developed based on the self-similarity assumption. Consequently, it is suggested that the results obtained by such integral models may not be fully representative of various engineering applications, and therefore caution must be urged.

Keywords: Turbulent jet, External forcing, Self-similarity, Pollution dispersion

1. INTRODUCTION

Many industrial processes result in introduction of substantial quantities of pollutants into the natural environment. Pollution emissions, ranging from acidic discharges from exhaust gas scrubbers on ships [21]

and brine disposals from desalination plants [4] to release of degradable organic wastes into water bodies [15] and gaseous emissions into the atmosphere from smokestacks and mobile exhausts [12], usually occur in the form of turbulent jets or plumes. After the initial release, contaminants at high concentration will have acute effects on public health and the environment.

After the contaminants are discharged, the principle mechanism ensuring the mitigation of adverse effects is the dilution of pollutants by means of turbulent mixing with surrounding fluid. As the turbulent jet or plume (J/P) develops downstream, the surrounding clean fluid is drawn into J/P and as a result its mass flow rate increases. This process is referred to as entrainment, a consequence of which being a remarkable decrease in the concentration of the discharged pollutants [14].

In many practical engineering applications, pollution dispersion models are used to determine the diluted concentration of pollutants downstream of the source. Such models, being the cornerstone of various pollution dispersion software, helps to determine the source parameters (such as the Reynolds number, angle of discharge, and its location) so that it will have minimal effect on human and environmental health. For instance, the classical theory of Morton et al. [18] enables prediction of mean velocity, width and mas flux of J/P downstream of the source. Their model is based on the entrainment assumption which reasons that the mass of the ambient fluid entrained into the plume at any height is proportional to a characteristic velocity at that height. This assumption is based on the self-similarity of turbulent J/P.

Self-similarity (also named as self-preservation), from a physical point of view, is a form of equilibrium reached for a flow system when all of its dynamical influences progresses together [8]. In other words, the contributing forces responsible for the evolution of flow does not compete for dynamical significance. It is a scaling law for particular governing equations in nature which provides solutions with the capability of reproducing themselves in time and space [3]. In the mathematical sense, self-similarity occurs if the profile

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of a dependent quantity such as velocity or half-width is scaled by an appropriate local characteristic scale which depends on one variable, and as a result, the dependent quantity will become independent of that variable and depend on one less variable.

Some examples of self-similarity phenomenon include the self-similarity of Brownian motion [6], Kolmogorov spectrum [6], turbulent jets, turbulent wakes and turbulent plumes [19, 9]. The assumption of self-similarity have massive advantages for physical models. Not only it transforms the governing partial differential equations (PDE) into a much simpler ordinary differential equations (ODE) [8, 19], it may also construct solutions representative of the physics involved [3]. Another advantage is that it leads to models with decoupled conservation laws which demand very simple solution algorithms [17].

However, the existence of self-similarity for turbulent J/Ps may not always be tenable. In reality, J/Ps are rarely released into an unbounded quiescent flow. The external forcing, such as the ambient density stratification, the free-stream advection, boundaries, and the turbulence of the receiving fluid can disrupt the jet structure and as a result plausibility of self-preservation assumption. In a theoretical analysis, Hunt [10]

hypothesized that in the presence of background turbulence, when the RMS velocity of the ambient flow is at the same order of the jet’s RMS velocity, the self-similar structure of the jet will be affected, and the entrainment into the jet will reduce.

The disruption of self-similarity causes the solid base of many pollution dispersion models to collapse.

Examples of theories using the self-similarity presumption include the theories proposed by Morton et al.

[18], Carazzo et al. [5], Landel et al. [16] and Turner [20] to various decision support systems such as CORMIX and CorJet being used for the environmental impact assessment of point source discharges [12]. If the self-similarity is disrupted, the results obtained by such integral models may not be fully representative of the engineering applications. In relation to the limits of applicability of his integral model for turbulent jets, Jirka [12] warned that the results may not be accurate for applications involving ambient stratification and opposing ambient current.

Therefore, it is important to elucidate the conditions where the available integral models can be applied.

So far, there has been no thorough studies on the effect of external forcing on the self-similarity of free shear flows. In this manuscript, we review and analyze the past studies of jets which are exposed to external forcing. We show that an axisymmetric turbulent jet which is normally assumed to be self-similar is subjected to deviations from the self-preservation when the external forcing is present. We also suggest that as such models may not accurately represent the reality of the engineering applications, caution must be exercised when using such theories.

2. EXPERIMENTAL DATA AND ANALYSIS

Despite the very widely accepted self-similarity assumption for jets released into a quiescent ambient fluids, jet flows exposed to external forcing may not have a universal self-preservation behavior. The results analyzed and presented here are derived from the studies of axisymmetric turbulent jets released into: i) homogeneous isotropic turbulence with negligible mean flow (<U>/urms << 1) [1, 13], and ii) a coflowing stream [2]. Therefore, the effect of external forcing in forms of the external or background turbulence and mean flow advection on the self-similarity of the jet will be investigated.

In [1] and [13], the axisymmetric turbulent jet had Reynolds numbers1 of 5,800 and 10,600. The jet was exposed to two different levels of background turbulence with turbulent kinetic energy per unit mass (TKE)2 of 4.44 cm2s-2 (referred to as low-TKE background) and 9.33 cm2s-2 (referred to as high-TKE background).

The velocity and concentration measurements were conducted using flying hot-film anemometry and laser- induced fluorescence (LIF). In [2], the axisymmetric turbulent jets with two Reynolds numbers of 32,000 and 52,000 were issued into a free-stream air velocity of 30.5 m/s. The colfow turbulence intensity was 0.1% and ratios of mean velocity of jet to that of coflow were 3.0 and 4.5 were adopted. Therein, measurements were taken using Pitot tube and hot-wire anemometry.

2.1 Turbulent Jet Released into a Quiescent Background

Figure 1 and Figure 2 show the results pertaining to a jet (Re=10,600) released into a quiescent background. These figures show that the mean velocity, the RMS velocity and the mean concentration data

1Re = UD/υ, where, U is the exit velocity of nozzle, D is the diameter of nozzle, and υ is the kinematic viscosity

2TKE = <uiui>/2, where u is the fluctuating part of velocity

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reduce to a single curve (independent of the streamwise downstream distance (x), jet Reynolds number, and the initial condition), emphasizing the existence of self-similarity. In figures, <U> is the mean velocity along the jet axis, <UCL> is the mean centerline velocity, urms is the RMS velocity defined as the root mean square of fluctuating parts of the velocity field1, <C> is the mean concentration, <CCL> is the mean centerline concentration, and and x0 is the virtual origin.

Figure 1: Mean (left) and RMS (right) velocity data corresponding to a jet released into a quiescent background.

Figures adopted from [13].

Figure 2: Radial profiles of mean concentration corresponding to a jet flow released into quiescent background. Figure adopted from [1].

1urms

UU

2 1/2

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It should be mentioned that self-similar behavior may be observed over a range of streamwise coordinate which lies beyond the development zone characterized by 0 < x/D < 25 [19]. In the present analysis of Khorsandi [13] data, the self-similarity of the mean and RMS velocities are valid for x/D > 15.

2.2 Turbulent Jet Released into a Turbulent Background

The effect of the background turbulence on the self-similarity of an axisymmetric turbulent jet will be discussed in this subsection. Figure 3 shows the profiles of the mean and RMS axial velocities of a turbulent jet released into a background turbulence. The velocities are normalized by the centerline mean velocity and plotted against the radial distance, r, normalized by the downstream distance, x. The profiles are presented for various downstream distances from x/D=15-75. It can be seen that the profiles of mean velocity (the left subfigure) collapse and are therefore self-similar for x/D <60 where the jet structure is not yet strongly affected by the background turbulence. However, after this point the jet is no longer self-similar. Therefore, in general self-preservation for the mean velocity must not be expected, and instead, self-similar behavior is restricted to a distance from the source beyond which the dynamic equilibrium of the jet is influenced by the background turbulence and as a result plausibility of self-preservation is not be tenable. Needless to say that, if the TKE of background turbulence was much stronger, the jet would not be self-similar from the onset. On the other hand, the profiles of RMS velocities (the right subfigure) do not collapse in the whole range of x/D=15-75 and unlike the mean velocities, the RMS velocities are not self-similar even at the distances close to the nozzle. Therefore, the assumption of a universal self-similarity for the dynamic field of turbulent jets is not accurate when the external turbulence is present.

Figure 3: Mean (upper subfigure) and RMS (lower subfigure) velocity data corresponding to a jet released into a turbulent background and zero mean velocity. Data adopted from [13].

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Figure 4 compares the mean and RMS axial velocities for jets released into quiescent, low-TKE and high- TKE backgrounds. The data presented in this graph also confirms lack of self-similarity in the presence of background turbulence as the curve corresponding to all flow do not collapse into a single curve. In addition, the disruption of self-similarity is more evident for the stronger background turbulence.

Figure 4: Comparison between mean and RMS velocity profiles of a jet released into a quiescent background, the low-TKE turbulent background, and the high-TKE turbulent background. Data adopted from [13].

Figure 5 plots the profiles of the mean scalar concentration (normalized by the centerline concentration) of an axisymmetric turbulent jet released into the low-TKE background turbulence. The results are presented for two different Reynolds numbers of 10,600 and 5,800. It can be observed that the scalar field does not possess a universal self-preservation behavior. The disruption of the self-similarity is particularly more noticeable at the higher downstream distances and lower jet Reynolds numbers (the right subfigure) where the effect of background turbulence and external forcing is of much more significance. In addition, the RMS concentration is also not self-similar in the presence of background turbulence (not shown) [1].

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Figure 5: Radial profiles of mean concentration showing the lack of self-similarity for jets (Re = 10,600 and 5,800) emitted into the low-TKE turbulent background. Figure adopted from [1].

2.3 Turbulent Jet Released into a Coflowing Stream

Figure 6 shows the results of Antonia and Bilger [2] who examined the effect of coflowing stream on the evolution of an axisymmetric turbulent jet. In the figure, profiles of RMS velocity normalized by the mean centerline excess velocity (relative to free-stream velocity), U0, are sketched versus radial distance from the centerline, r, normalized by the half-width radius of the jet, L0. The left subfigure corresponds to a ratio of centerline excess mean velocity to free stream velocity of 2.0 while this value is augmented to 3.5 for the right subfigure. It is deduced from the graphs that the second-order statistics generally refuses to obey self- similarity particularly when higher-speed ambient advections are encountered. The mean centerline excess velocity, however, was shown to exhibit a self-similar behavior (not shown here) [2].

A number of conclusions can be made based on the results presented so far:

 Higher order statistics of the flow (e.g., the RMS compared to mean) are much more sensitive to external forcing. The presence of external forcing may lead to disruption of their self-similarity and the dynamical equilibrium.

 The ambient advection force has a less severe effect on the self-preservation than the external turbulence. The advection alone may not have a strong effect on self-similarity and the disruption may be due to the coflowing turbulence. The low level of free-stream turbulence has probably resulted in a less intense effect on self-similarity.

 It is expected that initial conditions (e.g., Reynolds number and jet nozzle shape) will affect the downstream behavior of jets exposed to external forcing as opposed to a jet released into a quiescent background.

 In the context of practical engineering applications, the dispersion of J/P into quiescent environments (e.g., discharge of plume from smokestacks into the atmosphere in the absence of vertical mixing, or release of effluents to a still reservoir) if the ambient turbulence intensity can be considered negligible may be modeled, at least for the mean quantities, by assuming self-similarity assumptions. This may also be tenable when the contribution of mean flow advection is present.

Finally, for highly turbulent environments, no presumption of self-similarity can be made for any of the flow quantities.

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Figure 6: Streamwise dimensionless RMS velocities across the flow. Left subfigure corresponds to ratio of centerline mean excess velocity to the free stream velocity of 2 and the right one equal to 3.5. In the graphs, plus signs, triangle signs, square signs, and circle signs respectively represent x=D = 38; 76; 152; 266. Figures adopted

from [2].

3. CONCLUSIONS

We showed that in spite of the independency of first and second order statistical quantities pertaining to a turbulent jet released into a quiescent background from the streamwise downstream distance and initial conditions, such self-similar behavior may not be deduced in the presence of external forcing. When released into a turbulent background (with a negligible mean flow), no universal self-similarity was observed for the scalar and vector fields of a turbulent jet. In the case of RMS velocities, it was illustrated that such profiles refuse any self-preservation level in every part of the flow domain. Analogously, the ambient coflowing stream perturbed the RMS self-similar velocity profiles, but to a large degree did not have a noticeable adverse effect on the self-preservation of mean quantity. As opposed to a jet released into a quiescent background, it is expected that initial conditions will affect the downstream behavior of jets exposed to external forcing. Finally, we propose that the pollution dispersion models which are developed based on the self-similarity assumption, shall be reinvestigated or at least be used with a degree of caution.

4. ACKNOWLEDGMENT

The first author would like to thank the Journal of Physical Review Fluids for a given one-year student membership and free access to their entire papers.

12. REFERENCES

[1] Perez-Alvarado, A., 2016. Effect of background turbulence on the scalar field of a turbulent jet. Ph.D.

thesis, McGill University Libraries.

[2] Antonia, R., Bilger, R. W., 1973. An experimental investigation of an axisymmetric jet in a co-flowing air stream. Journal of fluid Mechanics 61 (04), 805–822.

[3] Barenblatt, G. I., 1996. Scaling, self-similarity, and intermediate asymptotics: di- mensional analysis and intermediate asymptotics. Vol. 14. Cambridge University Press.

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[4] Bleninger, T., Jirka, G., Lattemann, S., 2010. Environmental planning, prediction and management of brine discharges from desalination plants. Middle East Desalination Research Center (MEDRC): Muscat, Sultanate of Oman.

[5] Carazzo, G., Kaminski, E., Tait, S., 2006. The route to self-similarity in turbulent jets and plumes.

Journal of Fluid Mechanics 547, 137–148.

[6] Chorin, A. J., 1994. Vorticity and turbulence. Vol. 103. Springer Science & Business Media.

[7] Deng, J., Xue, J., Mao, X., Caulfield, C., 2017. Coherent structures in interacting vortex rings. Physical Review Fluids 2 (2), 022701.

[8] George, W. K., 1989. The self-preservation of turbulent flows and its relation to initial conditions and coherent structures. Advances in turbulence, 39–73.

[9] George, W. K., 2013. Lectures in turbulence for the 21st century. Chalmers University of Technology.

[10] Hunt, J., 1994. Atmospheric jets and plumes. In: Recent Research Advances in the Fluid Mechanics of Turbulent Jets and Plumes. Springer, pp. 309–334.

[11] Hussein, H. J., Capp, S. P., George, W. K., 1994. Velocity measurements in a high- reynolds-number, momentum-conserving, axisymmetric, turbulent jet. Journal of Fluid Mechanics 258, 31–75.

[12] Jirka, G. H., 2004. Integral model for turbulent buoyant jets in unbounded stratified flows. part i: Single round jet. Environmental Fluid Mechanics 4 (1), 1–56.

[13] Khorsandi, B., 2011. Effect of background turbulence on an axisymmetric turbulent jet. Ph.D. thesis, McGill University Libraries.

[14] Khorsandi, B., Gaskin, S., Mydlarski, L., 2013. Effect of background turbulence on an axisymmetric turbulent jet. Journal of Fluid Mechanics 736, 250–286.

[15] Koh, R. C., Brooks, N. H., 1975. Fluid mechanics of waste-water disposal in the ocean. Annual Review of Fluid Mechanics 7 (1), 187–211.

[16] Landel, J. R., Caulfield, C., Woods, A. W., 2012. Meandering due to large eddies and the statistically self-similar dynamics of quasi-two-dimensional jets. Journal of Fluid Mechanics 692, 347–368.

[17] Moeini, M., Chamani, M. R., 2013. New perspectives on the laminar boundary layer physics in a polarized pressure field with temperature gradient: an analytical approx- imation to blasius equation. Journal of Applied Fluid Mechanics.

[18] Morton, B., Taylor, G., Turner, J., 1956. Turbulent gravitational convection from maintained and instantaneous sources. In: Proceedings of the Royal Society of Lon- don A: Mathematical, Physical and Engineering Sciences. Vol. 234. The Royal Soci- ety, pp. 1–23.

[19] Pope, S. B., 2001. Turbulent flows. IOP Publishing.

[20] Turner, D. B., 1994. Workbook of atmospheric dispersion estimates: an introduction to dispersion modeling. CRC press.

[21] Ulpre, H., 2015. Turbulent acidic discharges into seawater. Ph.D. thesis, UCL (Uni- versity College London).

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