Edge flame structure in a turbulent lifted flame: A direct numerical simulation study
Introduction
Lifted flames are present in many energy producing systems such as industrial burners, gas turbines and diesel engines. They can occur when a high-velocity fuel jet is injected into a quiescent or a low velocity oxidising co-flow. If the jet velocity is high enough, the flame is not anchored at the nozzle lip but rather is stabilised some distance away from the nozzle. The location of the flame base has important implications for the design of the burners and the emissions they produce. As a result, a vast body of literature exists on understanding how lifted flames are stabilised [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]. Nevertheless, the stabilisation mechanism is still a poorly understood phenomenon. A number of theories such as the premixed flame theory [9], the edge-flame theory [13], the critical dissipation rate theory [14], and several theories involving a role played by large eddies [12], [15] have been proposed. As discussed in several review articles [15], [16], [17], aspects of these theories, and combinations of different theories, have varying levels of support when assessed against experimental data, and a final consensus on details of the stabilisation mechanism has not yet emerged.
Among the theories that has the most support, however, according to Lyons’ review [17], is the edge-flame theory. In this concept, originally proposed by Buckmaster [13], the leading edge of the flame is considered to be a partially premixed, self-propagating edge flame that is centred at the vicinity of the stoichiometric mixture fraction surface. Stabilisation is achieved as a result of the upstream self-propagation of the edge flame into flammable but as yet unburned mixtures, which balances the downstream flow. In the presence of low strain rates, the edge-flame structure has a tribrachial (or triple flame) structure consisting of two wings of premixed flames (one rich and one lean) and a tail of non-premixed (diffusion) flame. However, when the edge flame experiences high strain rates, one or both premixed branches collapse on the non-premixed tail creating a comet-shape structure.
There have been numerous studies of laminar edge flames, starting with the first experimental observation by Phillips [18], who showed that the edge flame is a self-propagating structure with a velocity balancing the oncoming flow. Kioni et al. [19] later observed the same structure in a similar experimental set-up. Kioni et al. [19] also used simulations to investigate the effects of strain rate on the structure of triple flames, showing that an increase in the strain rate resulted in the two premixed branches being merged on the diffusion tail. In another experimental study, Ko and Chung [20] measured the edge-flame propagation velocity in laminar non-premixed jet flames, reporting that it was much higher than the stoichiometric laminar burning velocity. It was also found that the propagation velocity was decreased when the fuel mass fraction gradient was increased. In an experimental study by Santoro et al. [21], the edge-flame structure was studied in a counter-flow mixing layer of methane and air. It was shown that flame extinction occurs when the edge flame experiences high strain rates, while a diffusion flame with no premixed wings was observed when the edge flame was subjected to sufficiently low strain rates. Away from these high and low strain limits, the flow and propagation velocities were balanced and a stable edge flame was observed.
Since the observation of the triple flame structure in experimental studies of laminar lifted flames, numerous analytical [13], [22], [23] and numerical [8], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39] studies of this structure in different configurations were conducted. These studies are in general agreement about the influence of the strain rate on the edge-flame structure.
Analytical solutions can only be obtained under some restricted assumptions such as laminar flow, large activation energy and either neglecting heat release entirely or considering only weak heat release. For instance, Buckmaster and Weber [13] proposed a one-dimensional model for the edge-flame propagation in which the absolute speed can be negative, positive and zero. A negative absolute speed occurs when the strain rate is high leading to an extinction event whereas a positive absolute speed, i.e. ignition, coincides with low strain rate. When the flow velocity and edge propagation relative to the flow balance one another, the flame is stationary and the net speed is zero.
Ghosal and Vervisch [22] proposed an analytical expression for the edge-flame velocity in a symmetric laminar lifted flame assuming a large activation energy with a low, finite heat release rate. Their results showed that the edge-flame velocity departs from the laminar flame speed due to the effects of heat release and flame-front curvature. The importance of hydrodynamic effects (associated with the flame heat release rate) were also highlighted in several other analytical studies in the literature [8], [22], [40]. An interested reader is referred to an article by Buckmaster [23] provides a comprehensive review of analytical analyses of edge flames in different scenarios.
Detailed chemistry numerical simulations employing geometrically simple configurations, have also been used to study of laminar edge-flame characteristics [27], [34], [36]. The edge-flame structure in a scalar mixing layer between methanol and air was studied by Echekki and Chen [34]. Consistent with previous analytical and numerical studies [8], [40], Echekki and Chen found that the edge-flame propagation velocity depends on hydrodynamic effects. In a separate study by Im and Chen [27], a hydrogen–air triple flame was disturbed by inducing a pair of counter-rotating vortices. Im and Chen [27] observed that the edge-propagation velocity was strongly correlated by the flame stretch and the flame-front curvature, rather than the scalar dissipation rate.
The local structure of turbulent edge flames and flow dynamics have been investigated using various laser-based measurements including particle image velocimetry (PIV), cinema particle imaging velocimetry (CPIV), laser-induced fluorescence (LIF), planar laser-induced fluorescence (PLIF), high-speed tomographic particle image velocimetry (TPIV), laser-induced predissociation fluorescence (LIPF), Rayleigh scattering and Raman–Rayleigh scattering [2], [3], [4], [6], [7], [11], [12], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56]. Tribrachial structures have been observed in some of these measurements. For instance, Mansour [45] observed the rich wing and diffusion tail using LIPF measurements of OH radicals while Watson et al. [47] observed the rich and lean branches and the diffusion tail by adopting CH-PLIF measurements. The similarity of these visual observations of tribrachial structures to those observed in laminar triple flames suggests that edge flames, as self-propagating structures, play an important role in the stabilisation process [12], [46], [47], [57].
Understanding the stabilisation process and dynamics of edge flames requires measurements of the flow velocity and the relative edge-flame propagation velocity. Significant fluctuations of these velocities and lifted height have been observed in various experimental studies of lifted turbulent flames [12], [41], [45], [47]. Several experimental studies reported the instantaneous, two-dimensional flow velocity fields in the region of the flame base (without conditioning on instantaneous flame locations) [3], [42], [46], [47], [52], [57], [58]. It was observed that the streamlines of the flow diverged at the flame base due to the effects of heat release [3], [12], [45], [46], [52], [57]. A consequence of this flow divergence is a decrease in the flow velocity in the region of the flame base. This was proposed to allow the propagation of the edge flames into these low-velocity regions. These observations are consistent with the earlier mentioned observations [18], [19], [20], [21], [59] and theoretical results [13], [22], [23] for laminar triple flames. Some studies also present two-dimensional measurements of the flow velocity conditioned on the instantaneous flame locations [3], [46], [57], and compared them with the laminar flame speeds. For instance, Muñiz and Mungal [3] observed that the fluid velocity at the flame base is less than three times the laminar flame speed, SL, while Upatnieks et al. [46], [57] reported the flow velocity to be similar to the laminar flame speed on average. Given that these measurements were conditional on the flame locations, and that the flow velocity and the edge-flame propagation velocity relative to flow should balance on-average, this suggests that the flames propagated at speeds in the order of SL, thus providing support to the edge-flame theory of stabilisation.
Attempts to measure the relative edge-flame velocity were also made [41], [43], [60], [61]. The two-dimensional absolute edge-flame velocity (flow plus relative edge-flame propagation) is accessible by comparing the flame-base location in two sequential measurements, and the relative edge-flame propagation velocity can then be obtained via a simultaneous measurement of flow velocity. Marking the flame location was critical to these experiments and some used the evaporation of liquid PIV seeding particles [6], while others used PLIF of a radical species, such as OH or CH [47], [57], [60], [61]. These measurements of relative propagation speeds showed that although the relative speed was generally in the order SL it was not a constant but fluctuated typically between about 0 and 3 SL, with sometimes negative or large positive speeds being observed. However, because these measurements were entirely two-dimensional, it was unclear whether these fluctuations were the result of actual variations in the propagation speed or rather the result of out-of-plane motion. More recently, attempts were made to partially alleviate this problem using measurements of the out-of-plane component of flow velocity. Boxx et al. [41] recently used a combination of a two-camera, stereoscopic PIV and an OH-PLIF imaging system with overlapping fields of view to measure the flow velocity including the out-of-plane component. Flame islands were observed upstream of the flame base and the appearance of these islands was found to be closely coupled to out-of-plane flow motion of the edge flames. In later work by Gordon et al. [60], measurements of the absolute flame displacement in two dimensions and all three components of velocity were reported. Compared with the previous studies which did not condition velocities on small out-of-plane component, a smaller variance of the relative propagation speed was noted; however, fluctuations of the relative speed were still present - for example the mean speed was different for edge-flames moving downstream to those moving upstream at some of the experimental conditions. Gordon et al. [60] also noted that the appearance of flame islands appeared to be the main mechanism of upstream motion of the flame, thus demonstrating the importance of out-of-plane flame motion. Further support that the three-dimensional structure is important was revealed in a recent study by Boxx et al. [41] who combined simultaneous OH-PLIF and line-of-sight chemiluminescence imaging to suggest that three-dimensional contortions of the flame structure could lead to large-magnitude changes in the local orientation of flames, which suggests that flame propagation in out-of-plane directions can also be quite significant. Errors in all of the above measurements, e.g. in the measurement of the edge-flame locations and the relative edge-flame propagation velocities, also creates some doubt about the conclusions in these studies, e.g. see Hasselbrink and Mungal [6]. In summary, experimental methods have advanced from early PIV measurements of unconditional flow velocities, through measurements of flow velocities conditional on the instantaneous flame locations, to recent work which has measured relative velocities of edge flames in two-dimensions. Fully three-dimensional measurements of relative flame velocities are still lacking.
As discussed earlier the significant fluctuations of the flow velocities conditioned at the flame base and lifted height are expected to be related to other parameters like scalar dissipation rates and strain rates. Therefore, in some experiments, attempts were made to measure these parameters. For instance, the scalar dissipation rate at the flame base was determined in experimental studies by Su et al. [12], Noda et al. [62] and Schefer et al. [11]. The measurements were two-dimensional, so only a two-dimensional representation of the scalar dissipation rate was available, although corrections were applied to estimate three-dimensional scalar dissipation rate. They all are in agreement that the scalar dissipation rate at the flame base is significantly lower than the critical stoichiometric extinction value from the counterflow diffusion flame. However, none of these works discuss correlations of the dissipation rate with velocity, despite the fact that a correlation is expected given previous work on laminar edge flames [8], [13], [24], [25], [26]. Two-dimensional measurements of strain rate [4], [60], [63] and vorticity [60] in the vicinity of the flame base have been reported, and recently tomographic three-dimensional measurements of vorticity were also demonstrated [64], but attempts have not yet been made to determine how these quantities correlate with the relative edge-flame speed. As such, instantaneous and simultaneous measurements of all parameters of interest at the flame base, including scalar dissipation rate, curvatures of mixture-fraction and product-mass fraction iso-surfaces, strain rates and edge-flame relative propagation speeds are still out of reach for experiment.
An alternative approach is direct numerical simulation (DNS). DNS is a powerful tool that can provide a detailed understanding of the effect of important parameters on the edge-flame structure. For example, the characteristics of triple flames have been analysed in simple two-dimensional configurations [28], [30], [33], [37], [65], [66]. Mastorakos et al. [66] studied autoignition in a two-dimensional mixing layer and observed that the mixture with the most reactive mixture fraction autoignited and subsequently propagated as an edge flame. Jiménez and Cuenot [28] studied the dynamics of an edge flame in the presence of recirculating hot gases. It was shown that the edge flame propagates at a nearly constant speed, independent of the turbulence level, and is controlled by large-scale structures. In another study, a locally ignited edge flame in an inhomogeneous mixing layer in three-dimensional decaying turbulence was studied by Chakraborty and Mastorakos [30] using single-step chemistry. They observed that increasing the mixture-fraction gradients, induced by reducing the thickness of the mixing layer, slowed down the edge propagation represented by the displacement speed of the fuel mass-fraction iso-surface.
However, due to its high computational cost, DNS of edge flames in turbulent jets are limited to a few in the literature [39], [67], [68], [69]. For example, Pantano [39] used DNS with reduced chemistry to study non-premixed flame extinction in a methane–air jet flame. He developed a theoretical framework in which the edge-flame propagation was described as a function of the propagation velocities of the iso-surfaces of mixture fraction and a reacting scalar and the alignment of these iso-surfaces. His analysis of the resulting edge-propagation velocity around extinction holes showed that this velocity is largely controlled by the local rate of scalar dissipation. Hawkes et al. [67], in the study of a turbulent temporally evolving nonpremixed plane-jet flame, observed that the edge-flame speed shows a strong negative correlation with scalar dissipation during extinction while a positive correlation was observed during reignition at low and intermediate scalar dissipation rates. Yoo et al. [68] studied a hydrogen lifted flame in a hot coflow condition, where the coflow temperature is sufficiently high to support autoignition.
The above-mentioned DNS studies have provided some useful information about the behaviour of edge flames in various turbulent flows (jet flame extinction, homogeneous turbulence ignition, etc.); however, none of these addressed a lifted flame in a non-autoignitive environment. This topic was recently tackled in another DNS study of the stabilisation mechanism in a turbulent lifted flame performed by the authors [1]. Therein it was shown that the flow on average balances the relative propagation of the edge flame, thus supporting the edge-flame stabilisation theory. However, significant fluctuations was observed in the lifted height, the propagation velocity and the flow velocity at the flame base. Conditioning of the net flame velocity on streamwise and transverse location revealed an elliptical clockwise motion of the edge flames around the average stabilisation point. It was proposed that this motion is connected with the passage of large eddies, in a manner mostly consistent with hypotheses put forward by Su et al. [12]. This was also consistent with the hypothesis put forth in an earlier DNS study of the near field of a turbulent lifted hydrogen/air jet flame in a heated coflow stabilised primarily by autoignition in which Yoo et al. [68] revealed the correlation of the passage of large-scale coherent flow structures and the relative position of the flame base, with the coherent motion inducing a cyclic motion of the flame base in the transverse and axial directions about a mean lift-off height.
In our previous DNS study of the stabilisation mechanism in a turbulent lifted flame [1], we also demonstrated that fluctuations of the local edge-flame propagation velocity were significant and led to significant fluctuations of lifted height, but did not investigate the cause of these fluctuations nor relate them to other important parameters. As explained earlier, experimental studies have also observed significant lifted height fluctuations [41], [46], [51], [70], and the very limited two-dimensional estimates of edge-flame relative velocities that are available [26], [28], [30], [33], [37], [65] have likewise not been correlated with other parameters.
The aim of this paper is, therefore, to address this gap by providing a comprehensive analysis of the effects of important parameters on the edge-flame propagation velocity using DNS [1], [71]. The investigated parameters include the displacement speeds of the product mass-fraction and mixture-fraction iso-surfaces, the orientations of the normal vectors to these iso-surfaces, their curvatures, strain rates, the dissipation rate of mixture fraction, and gradients of product mass fraction and mixture fraction. This paper will also investigate the reasons for the observed large fluctuations of the edge-flame velocities as well as the observed on-average departures of the relative edge-flame propagation speed from the laminar burning velocity.
The paper is organised as follows: first, the numerical method and simulation parameters are briefly described. Next, a statistical analysis of the above-mentioned parameters will shed light on the edge-flame dynamics. Then, the picture provided in the statistical analysis is synthesised. Finally, conclusions with suggestions for the future work are provided.
Section snippets
Computational approach
The DNS were completely described in Karami et al. [1], so only a brief description of key details is reported here for orientation. Figure 1 shows a schematic of the computational domain and the boundary conditions used to simulate the shown slot-jet lifted flame. Table 1 shows the list of parameters employed.
The DNS code S3D_SC [1], [71], [72] which is a modified version of the detailed chemistry code S3D [73] was used. The conservation equations of mass, momentum, sensible energy and fuel
Mathematical background
Now some necessary background regarding the identification of edge flames and their speeds relative to the flow will be developed in this section. Some of these materials are repeated from our earlier study [1] for the sake of completeness.
In premixed combustion, flame speeds are frequently obtained by calculating the displacement speed of a reacting scalar at a location in the flame that approximately tracks the locations of peak heat release [27], [34], [36], [37], [76], [77], [78], [79], [80]
Orientation and motivating results
For orientation, Fig. 4 shows an instantaneous contour plot of reaction rate and vorticity at the plane. The solid line shows the line of constant product mass fraction and the dashed line represents the mixture fraction equal to 0.07. The identified flame edges are marked as the centres of the red circles. It may be observed that the identified flame edges correspond well with regions of high reaction rate at the leading edge as well as at flame holes observed downstream.
The key
Discussion
We begin the discussion by summarising the key points for the edge-flame velocity responses to local variables, as revealed by the PDFs presented in Section 4.2. Next, we present an overall synthesis of the spatial picture.
Summarising the key points of edge velocity responses to the local scalar dissipation rate as:
- •
The edge-flame propagation velocity showed a negative correlation with the scalar dissipation rate consistent with previous studies [8], [13], [22], [23], [39], [90], [91]. For
Conclusions
Edge flames have been studied in terms of their propagation speeds, the orientations of the normal vectors to mixture-fraction and product mass-fraction iso-surfaces, the curvatures of those iso-surfaces, strain rates in various directions, and gradients of product mass fraction and mixture fraction.
The key findings are as follows.
- •
Significant instantaneous fluctuations of these quantities were observed, as well as on-average variations depending on where the edge flame was located.
- •
The net flame
Acknowledgment
This work was supported by the Australian Research Council. The research benefited from computational resources provided through the National Computational Merit Allocation Scheme, supported by the Australian Government. The computational facilities supporting this project included the Australian NCI National Facility, the partner share of the NCI facility provided by Intersect Australia Pty Ltd., the Peak Computing Facility of the Victorian Life Sciences Computation Initiative (VLSCI), iVEC
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