Abstract
The paper presents an analysis of various approaches for calculation gas-dynamic parameters and acoustic perturbations generated by a compressible jet at low Reynolds number (M = 0.9, Re = 3600). The jet flow parameters at selected conditions are well studied and can be used for validation of the numerical methods and schemes. The OpenFOAM software package with various approaches (solvers) such as pimpleCentralFoam, dbnsTurbFoam and new QGDFoam solver based on QGD-algorithms are considered. The results of time-averaged flow parameters and acoustic properties are compared with the experimental data. To determine the acoustic perturbation the Ffowcs Williams and Hawkings analogy implemented in our OpenFOAM library (libAcoustic) has been used.
Highlights
Aero-acoustics problems are important and relevant to different engineering applications
Numerical simulation of the jet flows process at large Reynolds numbers and the determination of acoustic disturbances generated by them presents considerable computational difficulties
The results show that the minimum grid resolution required for the numerical calculation of the process of formation and development of instabilities in space is more than 30 cells per nozzle exit diameter (CPD)
Summary
Aero-acoustics problems are important and relevant to different engineering applications. The most common approaches for solving jet flows include methods based on solving the Riemann problem using the following approximations that are part of the dbnsTurbFOAM solver: Local Lax- Friedrichs (Rusanov), Roe, Harten-Lax-Leer (HLL), HLL-Contact (HLLC). These schemes poorly describe flows at Mach numbers M < 0.5. The pimpleCentralFoam solver based on a hybrid approximation method for convective terms and the Kurganov-Tadmor scheme was proposed [4] Another alternative to these approaches is to use the method based on quasi-gas dynamics (QGD) algorithms [5,6]. The flow parameters and geometry match an experimental study conducted by Stromberg et al [1] and results are compared to their data whenever possible
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