Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems by K. B. Kontos Download PDF EPUB FB2
Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems Recent experience using ANOPP to predict turbofan engine flyover noise suggests that it over-predicts overall EPNL by a significant amount. An improvement in this prediction method is desired for system optimization and assessment studies of advanced UHB engines.
Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 2; Fan Suppression Model Development - Kindle edition by NASA, National Aeronautics and Space Administration.
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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.
Kontos, B. Janardan, and P. 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. 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. 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.
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. A system noise assessment of a hybrid wing body configuration was performed using NASA's best available aircraft models, engine model, and system noise assessment method.
A propulsion airframe aeroacoustic effects experimental database for key noise sources and interaction effects was used to provide data directly in the noise assessment where. K.B. Kontos, B.A. Janardan, P.R. Gliebe, Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems Volume 1: ANOPP Evaluation and Fan Noise Model Improvement, NASA CR, The impact of propulsion installation with large diameter engines on aircraft weight and drag are considered in the framework.
are hard to further improve aircraft performance and to satisfy the stringent environmental constraints. “Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems Volume 2. Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems.
Volume 2; Fan Suppression Model Development Karen Bernadette Kontos, R. Kraft. This contribution to the CEAS special edition Aircraft Noise Generation and Assessment focuses on the simulation of the aircraft noise immission, i.e., the aircraft noise received on the ground.
This process includes two steps, the description of the sound emission by the aircraft and the modeling of the sound propagation through the atmosphere. An overview is provided on how aircraft noise. Kontos KB, Janardan BA, Gliebe PR. Improved NASA ANOPP noise prediction computer code for advanced subsonic propulsion systems.
Volume 1: ANOPP evaluation and fan noise model improvement. Technical report NASA CR, NASA; A computer code for estimating installed performance of aircraft gas turbine engines NASA/CR Washington, 31 Clark B. Computer program to predict aircraft noise levels NASA/TP NASA 32 Kontos K.
Janardan B. Gliebe P. Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems. The next generation Aircraft NOise Prediction Program (ANOPP), called ANOPP2, provides the capability and a framework to integrate acoustic approaches for aircraft noise component prediction, propulsion system installation effects, and overall sound propagation to the far-field.
The predictions. The propulsion system is a key element to achieving these goals due to its major role with reducing emissions, fuel burn, and noise. This report provides an in-depth description and assessment of propulsion systems and technologies considered in the N+3 subsonic vehicle concepts.
Recommendations for technologies that merit further. Noise Reduction Advanced Subsonic Technology FY94 FY95 FY96 FY97 FY98 FY99 FY00 FY01 TOTAL 1. First integrated fan noise source and propagation prediction code 2. Adaptive and active noise control duct treatment verified on low speed fan 3.
The names of computer codes used for prediction methods and for Simulation has been mentioned in every page. Engine-Fan noise prediction. Fan noise is a strong function of the rotational tip speed and fan pressure ratio.
The surest way to reduce fan noise is to reduce the tip speed and pressure ratio. Fan Sharp leading edge reduces fan speed. The purpose of this report is to document improvements to the Propeller Analysis System of the Aircraft Noise Prediction Program (PAS-ANOPP) and to serve as a users guide.
An overview of the functional modules and modifications made to the Propeller ANOPP system are described. NASA SYSTEMS ENGINEERING HANDBOOK viii Preface S ince the initial writing of NASA/SP in and the following revision (Rev 1) insystems engineering as a discipline at the National Aeronautics and Space Administration (NASA) has undergone rapid and continued evolution.
Changes include using Model-Based Systems Engineering to improve. Kontos K.B., Janardan B.A., Gliebe P.R., “Improved ANOPP noise prediction computer code for advanced subsonic propulsion systems. Volume 1: ANOPP evaluation and fan noise model improvement”, NASA-CR, [12] Zorumski W.E., Aircraft noise prediction prog4ram theoretical manual part I & II, NASA TM, [13].
Advanced Aircraft Design: Conceptual Design, Analysis and Optimization of Subsonic Civil Airplanes advances understanding of the initial optimization of civil airplanes and is a must-have reference for aerospace engineering students, applied researchers, aircraft design engineers and analysts.
Procedures that link CFD and acoustic analogy methods have improved noise prediction methods for aircraft and engine components that are responsible for noise that impacts communities near airports. Examples will be given that demonstrate the current capability to predict changes in noise spectra due to changes in design features for aircraft.
The BASS code has been validated for three-dimensional wake-stator tone noise prediction. Currently, the BASS code is being extended to predict turbulent broadband wake-stator noise, using experimental data to prescribe the unsteady rotor wakes. The BASS code is general-purpose and has been applied to a range of aeroacoustic cases.ADVANCED SUBSONIC TECHNOLOGY.
Although the High Speed Civil Transport of the 21st century may dominate airline service on long overwater routes, the subsonic jetliner will continue to handle most overland travel.
The subsonic aircraft market - estimated at $1 trillion over the next two decades - will constitute the bulk of the total market.The conceptual design optimization of wide-body commercial aircraft is very challenging today.
This paper deals with the conceptual design optimization problem of a next-cycle wide-body commercial.