Supersonic Free Turbulent Mixing Layers

Oh, Y. H.

doi:10.1007/978-1-4615-8738-5_18

Cited by 3 publications

(1 citation statement)

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“…Relations that restrict the rise of turbulent viscosity and turbulence energy close to shock waves are utilized to enhance the accuracy of description of turbulent flows in the presence of shock waves [10,11]. Creating approximations for the terms in the transport equation of turbulent kinetic energy [12,13] that account for the effect of compressibility on turbulence and altering the model constants [14,15] are the two most popular methods of modifying a turbulence model.…”

Section: Introductionmentioning

confidence: 99%

Flow and Aeroacoustic Characteristics of Underexpanded Supersonic Jets Exhausting from a Conical Converging Nozzle

Volkov

2024

Fluids

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Ensuring the safety of space flights and solving the problems of reducing acoustic loads during the launch of space vehicles requires not only the development of new technical systems for launch complexes, but also methods for the numerical simulation of fluid and aeroacoustic fields generated by supersonic jets. The growing regulations for space vehicle noise also explain the interest in developing models and techniques that anticipate flow and the aeroacoustic characteristics of supersonic jets. Together with integral techniques for computing far-field noise, development of relevant mathematical models and implementation of numerical tools, the concepts of computational fluid dynamics (CFD) and computational aeroacoustics (CAA) are covered. The noise generated by a supersonic underexpanded jet is used to illustrate the capabilities of current numerical modelling and simulation tools. The jet structure, flow properties, and aeroacoustic quantities are affected by the nozzle pressure ratio. The outcomes of numerical simulation are contrasted with existing experimental and computational data. The available numerical modelling and simulation tools facilitate the development of novel computational methods and methodologies for challenges in CFD and CAA, in addition to solving research and engineering problems.

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