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Unstructured CFD and Noise Prediction Methods for Propulsion Airframe Aeroacoustics
Author(s) -
Paul Pao,
Khaled S. Abdol-Hamid,
Richard L. Campbell,
Craig Hunter,
Steven J. Massey,
Alaa Elmiligui
Publication year - 2006
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2006-2597
Subject(s) - airframe , computational aeroacoustics , computational fluid dynamics , aeroacoustics , propulsion , computer science , turbulence , nozzle , mesh generation , reynolds averaged navier–stokes equations , solver , aerospace engineering , adaptive mesh refinement , engineering , mechanics , computational science , structural engineering , physics , finite element method , telecommunications , sound pressure , programming language
Using unstructured mesh CFD methods for Propulsion Airframe Aeroacoustics (PAA) analysis has the distinct advantage of precise and fast computational mesh generation for complex propulsion and airframe integration arrangements that include engine inlet, exhaust nozzles, pylon, wing, flaps, and flap deployment mechanical parts. However, accurate solution values of shear layer velocity, temperature and turbulence are extremely important for evaluating the usually small noise differentials of potential applications to commercial transport aircraft propulsion integration. This paper describes a set of calibration computations for an isolated separate flow bypass ratio five engine nozzle model and the same nozzle system with a pylon. These configurations have measured data along with prior CFD solutions and noise predictions using a proven structured mesh method, which can be used for comparison to the unstructured mesh solutions obtained in this investigation. This numerical investigation utilized the TetrUSS system that includes a Navier-Stokes solver, the associated unstructured mesh generation tools, post-processing utilities, plus some recently added enhancements to the system. New features necessary for this study include the addition of two equation turbulence models to the USM3D code, an hrefinement utility to enhance mesh density in the shear mixing region, and a flow adaptive mesh redistribution method. In addition, a computational procedure was developed to optimize both solution accuracy and mesh economy. Noise predictions were completed using an unstructured mesh version of the JeT3D code.

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