S
Steven A. E. Miller
Researcher at University of Florida
Publications - 68
Citations - 425
Steven A. E. Miller is an academic researcher from University of Florida. The author has contributed to research in topics: Turbulence & Jet (fluid). The author has an hindex of 11, co-authored 54 publications receiving 378 citations. Previous affiliations of Steven A. E. Miller include Pennsylvania State University & Langley Research Center.
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Journal ArticleDOI
Prediction of Broadband Shock-Associated Noise Using Reynolds-Averaged Navier-Stokes Computational Fluid Dynamics
TL;DR: In this paper, a new model is introduced for the prediction of broadband shock-associated noise that uses the solution of the Reynolds-averaged Navier-Stokes equations, which is an acoustic analogy based on the linearized Euler equations.
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Experimental and Numerical Investigation of Flow Properties of Supersonic Helium-Air Jets
TL;DR: In this article, a combination of flow measurements of helium-air high speed jets and numerical simulations of similar helium air mixture and heated air jets is presented, and the results show very strong similarity with heated air jet measurements found in the literature.
Journal ArticleDOI
The prediction of broadband shock-associated noise including propagation effects
TL;DR: In this article, an acoustic analogy based on the Euler equations for broadband shock-associated noise (BBSAN) is developed that directly incorporates the vector Green's function of the linearized Euler equation and a steady Reynolds-Averaged Navier-Stokes solution (SRANS) to describe the mean flow.
Journal ArticleDOI
Toward a Comprehensive Model of Jet Noise Using an Acoustic Analogy
TL;DR: In this article, an acoustic analogy is developed to predict the noise from jet flows, which is based on the Euler equations and separates the sources from propagation by approximating the vector Green's function of the linearized Euler equation with the use of locally parallel mean flow assumption.
Proceedings ArticleDOI
Prediction of Fan Exhaust Noise Propagation
TL;DR: In this article, a method is presented to predict the far-eld sound pressure levels from the fan exhaust using a known source distribution of the acoustic pressure and velocity perturbations inside the exhaust fan duct.