Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems
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Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems by K. B. Kontos

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Published by National Aeronautics and Space Administration, National Technical Information Service [distributor in [Washington, DC, Springfield, Va .
Written in English

Subjects:

  • Aerodynamic noise,
  • Aircraft noise,
  • Noise reduction,
  • Noise prediction,
  • Pressure reduction,
  • Engine inlets,
  • Engine noise

Book details:

Edition Notes

Other titlesImproved NASA ANOPP noise prediction computer code for advanced subsonic propulsion systems., ANOPP evaluation and fan noise model improvement., Fan suppression model development.
SeriesNASA contractor report -- NASA CR-202309.
ContributionsKraft, R. E., Gliebe, P. R., United States. National Aeronautics and Space Administration.
The Physical Object
FormatMicroform
Paginationv.
ID Numbers
Open LibraryOL17546956M
OCLC/WorldCa38860517

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Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems (SuDoc NAS ) [NASA] on *FREE* shipping on qualifying offers. Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems (SuDoc NAS ). Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems Volume 1" ANOPP Evaluation and Fan Noise Model Improvement K. B. Kontos, B. A. Janardan, and P. R. Gliebe GE Aircraft Engines Cincinnati, OH August, Prepared for NASA Lewis Research Center Under Contract NAS Task Order Number Get this from a library! Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems.. [K B Kontos; B A Janardan; R E Kraft; Philip Roger Gliebe; United States. National Aeronautics and Space Administration.;]. @inproceedings{KontosImprovedNN, title={Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 2; Fan Suppression Model Development}, author={Karen Bernadette Kontos and R. Kraft and P. Gliebe}, year={} } table .

Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. By Karen B. Kontos, Philip R. Gliebe and Robert E. Kraft. Abstract. The Aircraft Noise Predication Program (ANOPP) is an industry-wide tool used to predict turbofan engine flyover noise in system noise optimization studies. Its goal is to provide the.   [5] Kontos K. B., Janardan B. A. and Gliebe P. R., “ Improved NASA–ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 1: ANOPP Evaluation and Fan Noise Model,” NASA TR CR, Google Scholar. Overview of NASA Electrified Aircraft Propulsion Research for Large Subsonic Transports NASA is investing in Electrified Aircraft Propulsion (EAP) research as part of the portfolio to improve the fuel efficiency, emissions, and noise levels in commercial transport aircraft. Turboelectric, partially turboelectric, and hybrid electric propulsion systems are the primary EAP configurations being.   [8] Kontos K. B., Janardan B. A. and Gliebe P. R., “ Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 1: ANOPP Evaluation and Fan Noise Model,” NASA CR, Google Scholar.

A systems analysis was performed with experimental jet noise data, engine/aircraft performance codes and aircraft noise prediction codes to assess takeoff noise levels and mission range for.   Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems—Volume 1: ANOPP Evaluation and Fan Noise Model Improvement,” NASA Lewis Research Center, Cleveland, OH. B. A. Janardan's 7 research works with citations and reads, including: AST Critical Propulsion and Noise Reduction Technologies for Future Commercial Subsonic Engines: Separate-Flow. An aeroelastic and unsteady aerodynamic analysis code has been developed for prediction of flutter, forced response, performance and rotor-stator interaction effects. The analysis provides a high-fidelity modeling of subsonic, transonic and supersonic flow regimes with attached and separated.