High Speed Research Noise Prediction Code (Hsrnoise) User's and Theoretical Manual PDF Download

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High Speed Research Noise Prediction Code (Hsrnoise) User's and Theoretical Manual

High Speed Research Noise Prediction Code (Hsrnoise) User's and Theoretical Manual PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721943913
Category :
Languages : en
Pages : 206

Book Description
This report describes a computer program, HSRNOISE, that predicts noise levels for a supersonic aircraft powered by mixed flow turbofan engines with rectangular mixer-ejector nozzles. It fully documents the noise prediction algorithms, provides instructions for executing the HSRNOISE code, and provides predicted noise levels for the High Speed Research (HSR) program Technology Concept (TC) aircraft. The component source noise prediction algorithms were developed jointly by Boeing, General Electric Aircraft Engines (GEAE), NASA and Pratt & Whitney during the course of the NASA HSR program. Modern Technologies Corporation developed an alternative mixer ejector jet noise prediction method under contract to GEAE that has also been incorporated into the HSRNOISE prediction code. Algorithms for determining propagation effects and calculating noise metrics were taken from the NASA Aircraft Noise Prediction Program. Golub, Robert (Technical Monitor) and Rawls, John W., Jr. and Yeager, Jessie C. Langley Research Center NAS1-00135; WU 23-781-20-12

High Speed Research Noise Prediction Code (Hsrnoise) User's and Theoretical Manual

High Speed Research Noise Prediction Code (Hsrnoise) User's and Theoretical Manual PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721943913
Category :
Languages : en
Pages : 206

Book Description
This report describes a computer program, HSRNOISE, that predicts noise levels for a supersonic aircraft powered by mixed flow turbofan engines with rectangular mixer-ejector nozzles. It fully documents the noise prediction algorithms, provides instructions for executing the HSRNOISE code, and provides predicted noise levels for the High Speed Research (HSR) program Technology Concept (TC) aircraft. The component source noise prediction algorithms were developed jointly by Boeing, General Electric Aircraft Engines (GEAE), NASA and Pratt & Whitney during the course of the NASA HSR program. Modern Technologies Corporation developed an alternative mixer ejector jet noise prediction method under contract to GEAE that has also been incorporated into the HSRNOISE prediction code. Algorithms for determining propagation effects and calculating noise metrics were taken from the NASA Aircraft Noise Prediction Program. Golub, Robert (Technical Monitor) and Rawls, John W., Jr. and Yeager, Jessie C. Langley Research Center NAS1-00135; WU 23-781-20-12

High Speed Research Noise Prediction Code User's and Theoretical Manual

High Speed Research Noise Prediction Code User's and Theoretical Manual PDF Author: Robert Golub
Publisher: BiblioGov
ISBN: 9781289264161
Category :
Languages : en
Pages : 210

Book Description
This report describes a computer program, HSRNOISE, that predicts noise levels for a supersonic aircraft powered by mixed flow turbofan engines with rectangular mixer-ejector nozzles. It fully documents the noise prediction algorithms, provides instructions for executing the HSRNOISE code, and provides predicted noise levels for the High Speed Research (HSR) program Technology Concept (TC) aircraft. The component source noise prediction algorithms were developed jointly by Boeing, General Electric Aircraft Engines (GEAE), NASA and Pratt & Whitney during the course of the NASA HSR program. Modern Technologies Corporation developed an alternative mixer ejector jet noise prediction method under contract to GEAE that has also been incorporated into the HSRNOISE prediction code. Algorithms for determining propagation effects and calculating noise metrics were taken from the NASA Aircraft Noise Prediction Program.

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ISBN:
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Publisher: Elsevier
ISBN: 0080549977
Category : Technology & Engineering
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Languages : en
Pages : 154

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