Rocket plume URANS simulation using OpenFOAM

Escartí-Guillem, Mara S.; Hoyas, Sergio; Garcı́a-Raffi, L. M.

doi:10.1016/j.rineng.2019.100056

Cited by 11 publications

(11 citation statements)

References 1 publication

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“…The tool used for the simulations was the software OpenFOAM v6. All the details of the numerical model can be found in the previous article [13].…”

Section: Methodsmentioning

confidence: 99%

“…The physical properties related to the exhaust plume were calculated with the isentropic flow equations through a Laval nozzle. The supersonic inlet conditions were applied at the end of the nozzle of the VEGA rocket and were depicted in [13]. As the discontinuities that occur in supersonic flows affect the stability and accuracy of the calculation, it is crucial to choose a suitable solver and numerical schemes.…”

Section: Flow Conditions and Numerical Schemesmentioning

confidence: 99%

“…Furthermore, we attempted to demonstrate that these simplifications are correct in the launchpad environment by validating with experimental data. In the previous article [13], we presented the methodology, and in this one, we tested the hypotheses through validation and deepened the analysis of the results.…”

Section: Introductionmentioning

confidence: 99%

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URANS Analysis of a Launch Vehicle Aero-Acoustic Environment

2022

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Predicting and mitigating acoustic levels become critical because of the harsh acoustic environment during space vehicle lift-off. This paper aimed to study the aero-acoustic environment during a rocket lift-off. The sound propagation within a launch event was studied using dedicated computational fluid dynamics (CFD). The resolution of all the phenomena that occur is unfeasible. We discuss the turbulence simplification and propose a feasible simulation through an unsteady Reynolds-averaged Navier–Stokes (URANS) model. The results were validated with experimental data showing a good correlation near the fairing surface and an improvable accuracy in the far field. To assess noise generation, the main shock waves were identified, and the evolution of the generated sound pressure was assessed. Moreover, vertical directivity was revealed by data analysis of the pressure field surrounding the fairing.

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“…The tool used for the simulations was the software OpenFOAM v6. All the details of the numerical model can be found in the previous article [13].…”

Section: Methodsmentioning

confidence: 99%

Section: Flow Conditions and Numerical Schemesmentioning

confidence: 99%

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URANS Analysis of a Launch Vehicle Aero-Acoustic Environment

2022

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“…It is generally admitted that the simulation can be considered at three levels of detail, Reynolds Average Navier Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulations (DNS) [1] which also corresponds to different levels of precision. Both RANS and LES models can simulate typical industrial flows with the necessary accuracy and in practical computation times [2][3][4][5], but DNS is until now the only trustworthy method to investigate physical properties of flows which are little understood.…”

Section: Introductionmentioning

confidence: 99%

A Code for Simulating Heat Transfer in Turbulent Channel Flow

et al. 2021

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One numerical method was designed to solve the time-dependent, three-dimensional, incompressible Navier–Stokes equations in turbulent thermal channel flows. Its originality lies in the use of several well-known methods to discretize the problem and its parallel nature. Vorticy-Laplacian of velocity formulation has been used, so pressure has been removed from the system. Heat is modeled as a passive scalar. Any other quantity modeled as passive scalar can be very easily studied, including several of them at the same time. These methods have been successfully used for extensive direct numerical simulations of passive thermal flow for several boundary conditions.

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“…It is also well known that turbulent-flow simulations can be considered in terms of three levels of detail: RANS (Reynolds-averaged Navier-Stokes) [3], LES (large-eddy simulation) [4], and DNS (direct numerical simulation) [5,6], each of which corresponds to a different level of accuracy. Nevertheless, until now, DNS has been the only method that has been proven to be reliable for investigating the physical properties of flows that are still poorly understood.…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Compact-Finite-Difference Schemes for Solving the bi-Laplacian Operator with Homogeneous Wall-Normal Derivatives

et al. 2021

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In fluid mechanics, the bi-Laplacian operator with Neumann homogeneous boundary conditions emerges when transforming the Navier–Stokes equations to the vorticity–velocity formulation. In the case of problems with a periodic direction, the problem can be transformed into multiple, independent, two-dimensional fourth-order elliptic problems. An efficient method to solve these two-dimensional bi-Laplacian operators with Neumann homogeneus boundary conditions was designed and validated using 2D compact finite difference schemes. The solution is formulated as a linear combination of auxiliary solutions, as many as the number of points on the boundary, a method that was prohibitive some years ago due to the large memory requirements to store all these auxiliary functions. The validation has been made for different field configurations, grid sizes, and stencils of the numerical scheme, showing its potential to tackle high gradient fields as those that can be found in turbulent flows.

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Rocket plume URANS simulation using OpenFOAM

Cited by 11 publications

References 1 publication

URANS Analysis of a Launch Vehicle Aero-Acoustic Environment

URANS Analysis of a Launch Vehicle Aero-Acoustic Environment

A Code for Simulating Heat Transfer in Turbulent Channel Flow

Two-Dimensional Compact-Finite-Difference Schemes for Solving the bi-Laplacian Operator with Homogeneous Wall-Normal Derivatives

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