Prediction of the Free Jet Noise Using Quasi-gas Dynamic Equations and Acoustic Analogy

Epikhin, Andrey; Kraposhin, Matvey

doi:10.1007/978-3-030-50436-6_16

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…In an earlier study [ 28 ], the FWH analogy was also validated using another software using the rod–airfoil interaction. The library has been used to simulate compressible free jets, and the results have been compared favorably to the experimental data using the FWH method [ 29 , 30 ]. It has also been used to simulate the marine propeller noise [ 31 ] and the rotor noise from unmanned arial vehicles [ 32 , 33 ].…”

Section: Methodsmentioning

confidence: 99%

Validating Confined Flame Noise Simulation Using External Sensor

Williamson

Srivastava²,

Sallam

2022

Sensors

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Advancements in lean premixed combustion have increased the efficiency and reduced the amount of greenhouse gas emissions, but they have led to increased noise emissions due to higher turbulence and mixing fluctuations. This study used an external sensor (microphone) to validate the simulation of the combustion noise of a confined space. An experimental facility with a laboratory-scale furnace was used to carry out the measurement, and the simulation of the confined flame noise was conducted in OpenFOAM. The simulation utilized the Partially Stirred Reactor (PaSR) and a hybrid computational aeroacoustics (CAA) approach using the large eddy simulation (LES)/the Ffwocs Williams–Hawkings (FWH) method. Additionally, unsteady Reynolds-averaged Navier–Stokes (URANS)/the FWH method was tested for a comparison with the LES prediction. A sensor which was placed outside the enclosure for ease of access was then used to validate the results of the numerical model. The sensor data agreed with the LES/FWH results including the amplitude and frequency of the primary combustion peak and the overall sound pressure level (OASPL). This suggested that a sensor which was placed outside the enclosure could serve as a validation tool for the simulation of the confined flames despite the sound reflections from the walls.

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Section: Methodsmentioning

confidence: 99%

Validating Confined Flame Noise Simulation Using External Sensor

Williamson

Srivastava²,

Sallam

2022

Sensors

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“…The Eulerian part of the model for both of the system equations was verified by solving the various problems such as: (a) shock tube and other discontinuity evolution problems [27,28], (b) the flow around the forward and backward step with super-and subsonic velocities [28,39], (c) flow around blunt bodies at trans-and supersonic velocities [27,28,39], and d) hydrodynamic instabilities development and acoustic noise generation by a transonic jet [40,41]. The libAcoustics library of far-field noise analysis was successfully tested for a number of models (monopole, dipole) and experimental problems [37,40,41]. The verification of the droplet-dynamics model is presented in the next two sections.…”

Section: Verification and Validationmentioning

confidence: 99%

“…The computational mesh was refined in the region from the gas nozzle exit 30D downstream. According to the recommendations presented in [40,41], two meshes for each solver were constructed. It was shown in previous studies that two numerical algorithms required different mesh resolutions to simulate the instabilities arising from the mixing layer of a high-speed jet.…”

Section: Asmentioning

confidence: 99%

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The Eulerian–Lagrangian Approach for the Numerical Investigation of an Acoustic Field Generated by a High-Speed Gas-Droplet Flow

Melnikova

Epikhin

Kraposhin

2021

Fluids

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This paper presents the Eulerian–Lagrangian approach for numerical modeling of high-speed gas-droplet flows and aeroacoustics. The proposed hybrid approach is implemented using the OpenFOAM library and two different methods. The first method is based on a hybrid convective terms approximation method employing a Kurganov–Tadmor and PIMPLE scheme. The second method employs the regularized or quasi-gas dynamic equations. The Lagrangian part of the flow description uses the OpenFOAM cloud model. Within this model, the injected droplets are simulated as packages (parcels) of particles with constant mass and diameter within each parcel. According to this model, parcels moving in the gas flow could undergo deceleration, heating, evaporation, and breakup due to hydrodynamic instabilities. The far-field acoustic noise is predicted using Ffowcs Williams and Hawking’s analogy. The Lagrangian model is verified using the cases with droplet evaporation and motion. Numerical investigation of water microjet injection into the hot ideally expanded jet allowed studying acoustic properties and flow structures, which emerged due to the interaction of gas and liquid. Simulation results showed that water injection with a mass flow rate equal to 13% of the gas jet mass flow rate reduced the noise by approximately 2 dB. This result was in good coincidence with the experimental observations, where maximum noise reduction was about 1.6 dB.

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Development of a new solver for homogenous mixture based on regularized gas dynamic equation system

Epikhin,

But

2024

Numerical Methods in Fluids

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The paper presents an improved approach for modeling multicomponent gas mixtures based on quasi‐gasdynamic equations. The proposed numerical algorithm is implemented as a reactingQGDFoam solver based on the open‐source OpenFOAM platform. The following problems have been considered for validation: the Riemann problems, the backward facing step problem, the interaction of a shock wave with a heavy and a light gas bubble, the unsteady underexpanded hydrogen jet flow in an air. The stability and convergence parameters of the proposed numerical algorithm are determined. The simulation results are found to be in agreement with analytical solutions and experimental data.

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Prediction of the Free Jet Noise Using Quasi-gas Dynamic Equations and Acoustic Analogy

Cited by 5 publications

References 24 publications

Validating Confined Flame Noise Simulation Using External Sensor

Validating Confined Flame Noise Simulation Using External Sensor

The Eulerian–Lagrangian Approach for the Numerical Investigation of an Acoustic Field Generated by a High-Speed Gas-Droplet Flow

Development of a new solver for homogenous mixture based on regularized gas dynamic equation system

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