Abstract
Three planar impinging supersonic jets of infinite extent are simulated using compressible large eddy simulations in order to study the effects of the angle of impact on the flow and acoustic fields of the jet. At the exit of a nozzle of height h, they are ideally expanded and have an exit velocity uj, yielding a Mach number of 1.28 and a Reynolds number of 5 × 104. They impinge on a flat plate at a distance 5.5h from the nozzle lips with angles of 60°, 75°, and 90° between the jet direction and the plate. Mean velocity flows and snapshots of density, pressure, and vorticity are first shown. The mean convection velocity of the turbulent structures in the jet shear layers is then determined. The sound pressure levels are computed, and several tones due to the presence of a feedback mechanism are found to establish between the nozzle lips and the flat plate. They agree well with the corresponding measurements and with the classical model of the feedback mechanism. Moreover, when the angle of impact deviates from 90° to 75°, a jump from the third to the fourth mode of the feedback mechanism and a reduction in intensity are noted. By applying a Fourier decomposition to the near pressure fields, hydrodynamic–acoustic standing waves are found for each dominant tone frequency. Moreover, as suggested by amplitude fields and velocity spectra in the jet shear layers, the feedback mechanism seems to establish mainly along the lip that is farther away from the plate when the impact angle is not normal. This jump from the third to the fourth mode is similar to the jump observed experimentally for an angle of impact of 90° when the nozzle-to-plate distance increases from 5.5h to 5.85h. Finally, for an angle of impact of 60°, it is seen that none of the modes of the feedback persists in time, but that several modes randomly establish during short periods of time. These rapid switches between different modes lead to several tones that are less energetic on average and centered on St = 0.25.
Introduction
In the acoustic field of high-subsonic and supersonic impinging jets, intense acoustic tones have been observed by many authors. Powell 1 suggested, in 1953, that these tones are due to a feedback mechanism establishing between the nozzle lips and the plate. This mechanism consists of two steps. First, in the shear layer, a turbulent structure is convected downstream from the nozzle to the plate. The structure impinges on the plate and generates an acoustic wave propagating upstream towards the nozzle. This wave is then reflected by the nozzle lip, excites the shear layer, and leads to the formation of a new turbulent structure.
Round subsonic and supersonic jets impinging normally on a flat plate have been studied by numerous researchers. Subsonic jets were notably studied by Ho and Nosseir 2 and Nosseir and Ho 3 who always observed intense acoustic tones for exit Mach numbers ranging from 0.3 to 0.9. Supersonic jets were analyzed by Henderson and Powell, 4 Krothapalli et al., 5 Risborg and Soria, 6 Buchmann et al., 7 and Weightman et al. 8 A feedback mechanism similar to those in subsonic jets was found. This mechanism appears very often when the jet is ideally expanded but only for some nozzle-to-plate distances when the jet is imperfectly expanded. 9 More recently, the authors studied in depth the tone production mechanisms in underexpanded and ideally expanded impinging round jet using compressible large eddy simulation (LES).10–12 Planar jets impinging on a flat plate normally also produce intense tone frequencies. However, compared to round jets, Arthurs and Ziada 13 noted that tones are visible at lower flow velocities. Planar supersonic jets impinging on a flat plate normally have been studied notably by Norum 14 and Tam and Norum 15 in the 1990s. Often, two emerging tones were observed in the acoustic spectra of the jets. The lower tone frequency was found to be associated with a symmetric oscillation mode of the jet and the upper one, with an antisymmetric oscillation mode of the jet. Using a simple two-dimensional (2D) simulation by Hourigan et al. 16 was able to recover these tones. To explain this phenomenon, Tam and Norum 15 proposed that the upstream propagating waves of the feedback mechanism are neutral acoustic wave modes of the jet. Using a vortex sheet jet model, allowable frequency ranges were found for upstream propagating neutral acoustic wave mode of the jet, depending on their symmetric or antisymmetric nature. These allowable ranges were in agreement with the tones observed in the experiment of Norum. 14 This model has been used by the authors in combination with the classical aeroacoustic feedback model in order to predict, for a given ideally expanded planar impinging jet, the most likely tone frequency and the associated jet oscillation. 17 A generalization to the case of ideally expanded round impinging jets has later been proposed in Bogey and Gojon. 11 In this paper, using a space–time Fourier transform on the fluctuating pressure inside the jet, upstream propagating waves with a group velocity and a phase velocity very close to the ambient speed of sound have been observed. They correspond to neutral acoustic wave modes of the jet and can be found using a vortex sheet model. Recently, 18 the same decomposition has been applied to screeching jets. It is shown that the feedback loop, responsible for dominant modes A and C and secondary mode u, is closed by acoustic upstream propagating waves in the jet which belongs to the neutral acoustic wave modes of the equivalent ideally expanded jet.
For non-normal impingement angles, the intensity of the feedback mechanism decreases because of the loss of symmetry. For instance, for a supersonic ideally expanded planar jet impinging on an inclined flat plate, Norum 14 noted experimentally that the amplitude of the strongest impingement tone decreases when the angle of impact deviates from 90°. In order to understand the lift-off phase of a space launcher, Nonomura et al.19,20 performed the simulation of a 2D jet impinging on a inclined plate and the LES of a three dimensional (3D) supersonic ideally expanded round jet impinging on a inclined plate. They obtained three types of waves in the acoustic field, namely, the Mach waves generated in the jet shear layers, the Mach waves from the shear layer of the supersonic flow on the inclined flat plate, and the waves coming from the impingement region. These three types of waves were analyzed by Tsutsumi et al. 21 using a snapshot proper orthogonal decomposition combined with Fourier transform.
In the present work, the LESs of three planar supersonic jets of infinite extent are carried out for different angles of impact in order to investigate the feedback mechanism between the nozzle lips and the flat plate. This work follows a previous study 17 in which planar supersonic jets impinging normally on a flat plate were simulated. More precisely, a case from the previous study for a normal impingement angle is considered, and two others are considered for angles of impact of 60° and 75°. The paper is organized as follows. The main characteristics of the jets and the simulations are presented in the following section. Next, mean fields, snapshots, and fluctuating fields are shown and compared with experimental data. Furthermore, the acoustic results are then shown where the tone frequencies of the feedback mechanism are studied. Finally, concluding remarks are given.
Parameters
Jets parameters
Three planar jets impinging on an inclined flat plate are computed using compressible LES. The different cases referred to as JetL5-60d, JetL5-75d, and JetL5-90d are presented in Table 1: the three angles of impact of θ = 60, θ = 75, and θ = 90° between the jet axis, and the flat plates are considered. The case JetL5-90d was simulated in a previous study.
17
In all cases, the nozzle-to-plate distance along the jet axis is equal to L = 5.5h, where h is the height on the nozzle, whereas the nozzle-to-plate distance increases from 5.5h to 5.79h along the upper lip line at
Jet parameters: Mach number
Numerical parameters
For the case where the angle between the jet axis and the flat plate is 90°, the unsteady compressible Navier–Stokes equations are solved on a Cartesian mesh for which x, y, and z denote the longitudinal, lateral, and spanwise directions, respectively. An explicit six-stage Runge–Kutta algorithm is used for time integration, and low-dispersion 11-point explicit finite differences are used for spatial derivation.23,24 At the end of each time step, a relaxation filtering is applied to the flow conservative variables in order to remove grid-to-grid oscillations and to dissipate subgrid-scale turbulent energy. The radiation conditions of Tam and Dong
25
are implemented at the inflow and lateral boundaries of the computational domain. A sponge zone combining grid stretching and Laplacian filtering is also employed to damp the turbulent fluctuations before they reach the lateral boundaries. Adiabatic no-slip conditions are imposed to the nozzle wall and the flat plate. Examples of 3D subsonic jets simulated using the present solver can be found in Bogey et al.26,27 A shock-capturing filtering is applied in order to avoid Gibbs oscillations near shocks. It consists in applying a conservative second-order filter at a magnitude determined each time step using a shock sensor.
28
This method was successfully used by de Cacqueray et al.
29
for the LES of a non-ideally expanded jet at an equivalent Mach number
For the two cases where θ = 60° and θ = 75°, two Cartesian meshes are used. The meshes as represented in Figure 1 for the JetL5-75d. The mesh containing the nozzle is referred to as the primary grid, and the mesh close to the flat plate as the secondary grid. The two meshes are identical in the spanwise direction z, allowing the flow variables to be transferred from one grid to another using a 2D interpolation in the (x, y) plane. Optimized interpolation centered schemes for computational aeroacoustics were developed by Tam and Hu
31
and by Chicheportiche and Gloerfelt,
32
for instance. They are developed from Lagrangian polynomial, minimizing the error in the wave number space. However, for a centered 2D interpolation, the improvement relative to the Lagrangian 2D interpolation is weak.
32
Thus, in the present work, a high-order Lagrangian 2D interpolation is used in each direction. A 10-point stencil is chosen for the interpolation as it is the best compromise between accuracy and computational time, as suggested by Marsden et al.
33
and Chicheportiche and Gloerfelt.
32
Therefore, the formal order of the interpolation is 10. In practice, the value of the variable u of the receiving point (xl, yl) is computed from the 10 × 10 = 100 giving points

Representation of the two Cartesian meshes for JetL5-75d; (a) sketch of the two meshes, with the primary grid in dark gray, the secondary grid in light gray, and the nozzle and flat plate in black and (b) representation of the grids; every 15 points is shown.
The simulations are carried out using an OpenMP-based in-house solver, and a total of 200,000 iterations are made in each case after the transitional period. The simulation time is equal to
Parameters of the primary grids containing the jets.
Parameters of the secondary grids close to the plate.
The variations of the axial and lateral mesh spacings in the grid used for JetL5-90d are presented in a previous paper.
17
The minimal axial mesh spacing, near the nozzle lips and the flat plate, is equal to
After the jet impact, wall jets develop on the flat plate. Their discretizations are discussed by considering the mesh spacings at the wall at
Mesh spacings on the plate at
Aerodynamic results
Flow snapshots
Snapshots of the vorticity norm obtained in the (x, y) plane for JetL5-90d, JetL5-75d, and JetL5-60d are represented in Figure 2. For the three cases, the two mixing layers exhibit large-scale structures, of typical size 0.5h. This result is similar to the experimental results provided by Thurow et al. 22 for a rectangular supersonic jet impinging on a flat plate normally. Moreover, for JetL5-60d, the shear layers may not interact between each other near the region of impact, which seems to be the case for JetL5-90d and JetL5-75d.

Snapshots obtained in the (x, y) plane of vorticity norm
In order to visualize the flow and acoustic fields of the jets, snapshots in the (x, y) plane of the density and the fluctuating pressure are provided in Figure 3 and in a movie available online. In all cases, large-scale structures in the jet shear layers and upstream-propagating sound waves are observed. These waves appear to be generated in the region of jet impact and to have amplitudes decreasing significantly as the angle of impact deviates from 90°.

Snapshots obtained in the (x, y) plane of density in the jet axis and close to the flat plate and of pressure fluctuations for (a) JetL5-90d, (b) JetL5-75d, and (c) JetL5-60d. The color scale ranges from 1 to 2 kg.m– 3 for density and from −7500 to 7500 Pa for fluctuating pressure. The nozzle and the plate are in black.
Mean flow fields
The mean total velocity fields obtained in the (x, y) plane are shown in Figure 4. Very small variations of about 3% of the jet exit velocity are found near the jet axis, indicating that the jets are almost ideally expanded, as desired. In all cases, a stagnation point is visible on the flat plate at y = 0, and plane wall jets form on the plate on both sides of the jet. The important scaling factors of plane wall jets are the maximum velocity um, the distance xm from the wall at which the velocity reaches um, and the distance

Mean velocity field obtained in the (x, y) plane for (a) JetL5-90d, (b) JetL5-75d, and (c) JetL5-60d. The color scale ranges from 0 to 400 m.s−1. The nozzle and the flat plate are in black.
Maximum velocity um and distances
When the angle of impact is not normal, the developments of the top and bottom plane wall jets differ, as expected. For the top plane wall jets, the maximum velocity increases, but the length scales xm and
Convection velocity
In order to describe the feedback mechanism, the convection velocity uc of the turbulent structures along the lip lines

Convection velocity of the turbulent structures as a function of the axial coordinate in (a) the upper jet shear layer at
For all jets, the convection velocities are approximately of
Overall sound pressure levels
The overall sound pressure levels (OASPLs) obtained in the plane (x, y) are represented for the three jets in Figure 6. Isocontours are added in order to improve the readability. The OASPLs, in dB, are computed from the rms fluctuating pressure fields as

OASPL obtained in the (x, y) plane for (a) JetL5-90d, (b) JetL5-75d, and (c) JetL5-60d. The color scale ranges from 150 to 175 dB. The nozzle and the plate are in black.
For JetL5-90d, in Figure 6(a), two acoustic components emerge. Let α be the angle at the impingement region between the upstream direction and the waves propagating from the flat plate, as illustrated in Figure 6(a). The first acoustic component can be seen for
Acoustic results
Sound pressure levels
The sound pressure levels computed at x = 0 and

SPLs obtained at x = 0 and
Tone Strouhal numbers in the spectra of Figure 7.
The Strouhal numbers of the dominant tones for JetL5-90d and JetL5-75d are in boldface. The Strouhal number at the maximum sound pressure level for JetL5-60d is between brackets.
Maximal levels obtained in the sound spectra of Figure 7, skewness, and kurtosis factors of the fluctuating pressure at x = 0 and
SPL: sound pressure level.
Tone frequencies
In order to explain the origin of tone frequencies, Powell
1
suggested that a feedback mechanism establishes between the nozzle lips and the flat plate. Similarly, Ho and Nosseir
2
and Nosseir and Ho
3
constructed a simple model in order to predict the frequencies of the feedback mechanism, providing the relation
The Strouhal numbers of the tone frequencies obtained for the present jets in Figure 7 are plotted in Figure 8 as a function of the nozzle-to-plate distance L/h. For the three computed jets, the value

Strouhal numbers of the tone frequencies obtained
For JetL5-90d, where
Skewness and kurtosis factors
In order to investigate the non-linear features of the acoustic waves generated by the impingement, the statistical properties of the pressure are examined at x = 0 and

Left views: Fluctuating pressure at x = 0 and
In order to be more quantitative, Figure 9(b), (d), and (f) shows the probability density functions of the fluctuating pressure normalized by the standard deviation as well as the skewness and kurtosis factors for JetL5-90d, JetL5-75d, and JetL5-60d. For JetL5-90d, a skewness factor of S = 0.57 and a kurtosis factor of K = 3.87 are obtained, indicating strong non-linearity and intermittency of the signal. These properties correspond to those of the crackle noise first defined by Ffowcs-Williams et al., 43 who identified this specific noise when the skewness factor of the pressure field exceeds 0.4. As the angle of impact deviates from 90°, the skewness factor decreases down to S = 0.25 for JetL5-75d and to S = 0.19 for JetpL5-60d. This result is in agreement with the weakening of the N-shaped waves in the fluctuating pressure signals in Figure 9(c) and (e). Moreover, the kurtosis factor also decreases from K = 3.87 for JetL5-90d down to K = 3.2 and K = 3.49 for JetL5-75d and JetL5-60d. This result indicates that the fluctuating pressure is not strongly intermittent for lower angles of impact.
For the three jets simulated, the peak values in the sound spectra at x = 0 and y = 1.5h of figure 7, and the skewness and kurtosis factors of the fluctuating pressure at x = 0 and y = 8.5h, are collected in Table 7. The maxima in the spectra and the skewness factors appear to be correlated. Moreover, the highest values of skewness and kurtosis factors are obtained for JetL5-90d, supporting that the most resonant case is also the case where non linearity and intermittency are the strongest.
Fourier decomposition of the pressure field
For each jet, the pressure field in one (x, y) plane has been recorded every 50th time step, at a sampling frequency of St = 8. A Fourier decomposition is then applied. In this way, for a given frequency, the amplitude and phase fields can be displayed.
The amplitude and phase fields obtained for the source tone frequency of JetL5-90d at

Amplitude (top) and phase (bottom) obtained for the pressure fields for (a and d) JetL5-90d at
The amplitude fields of the three tone frequencies represented in the top views of Figure 10 all exhibit a cell structure between the jet nozzle and the plate. By considering the two semi-cells near the nozzle and the plate as one cell, the cell structures contain three cells for JetL5-90d at
Those results are in agreement with the combination of models proposed in Gojon et al. 17 Indeed, for this jet configuration, the tone Strouhal number St = 0.19 and the antisymmetric oscillation mode of the jet at this frequency are predicted. The tone at St = 0.25 is also predicted with an antisymmetric oscillation mode of the jet. This oscillation mode is not clearly recovered in the phase field in Figure 10(c). It is probably due to the fact that almost only the upper jet shear layer maintains the aeroacoustic feedback mechanism, with phase contours that all seem to come from the upper jet shear layer region of impact in Figure 10(c), even in the region where y < 0.
Velocity spectra
The spectra of axial velocity fluctuations calculated in the lower and upper jet shear layers are presented in Figure 11 as functions of the Strouhal number and the axial distance. They are computed using the Welch method with a 50% overlapping in time on one point in the spanwise direction. For JetL5-90d, a very similar behavior can be noted on both sides of the jet in agreement with the symmetry. A dominant tone at St = 0.19 is visible from the nozzle exit to the plate. Its first three harmonics are also seen, mainly near the nozzle exit. For JetL5-75d, different results are obtained in the two jet shear layers, as expected. In the lower shear layer, in Figure 11(e), a low-amplitude tone at St = 0.19 only appears near the nozzle exit, whereas in the upper shear layer, in Figure 11(b), a dominant tone at St = 0.25 and a secondary tone at St = 0.19 emerge. This result is consistent with the observation made in the previous section that the feedback mechanism establishes mainly in the upper jet shear layer in this case. For JetL5-60d, several tones of low amplitude can be identified around St = 0.25 in the upper shear layer, but they are less marked in the lower shear layer.

Power spectral densities of axial velocity fluctuations
Tone intermittency
In order to determine whether the jets produce alternatively or simultaneously the different tones emerging in the spectra of Figure 7, a Fourier decomposition is applied to the pressure signal at x = 0 and

Sound pressure levels obtained at x = 0 and
For JetL5-90d, in Figure 12(a), the contribution of the dominant tone frequency at
Conclusion
In this paper, the hydrodynamic and acoustic properties of three planar supersonic jets computed by compressible LESs are presented. The jets are ideally expanded, and have a Mach number
Footnotes
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was performed using HPC resources of Pôle de Calcul Hautes Performances Dédiés and CNRS on Turing, Occigen (GENCI-IDRIS grant x2016a7178 and GENCI-CINES grant A0022A07178) and Eos (CALMIP, grant 2017-p1425).
References
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