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Improved Nasa-Anopp Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems

Improved Nasa-Anopp Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723178085
Category :
Languages : en
Pages : 156

Book Description
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. An assessment of the ANOPP fan inlet, fan exhaust, jet, combustor, and turbine noise prediction methods is made using static engine component noise data from the CF6-8OC2, E(3), and QCSEE turbofan engines. It is shown that the ANOPP prediction results are generally higher than the measured GE data, and that the inlet noise prediction method (Heidmann method) is the most significant source of this overprediction. Fan noise spectral comparisons show that improvements to the fan tone, broadband, and combination tone noise models are required to yield results that more closely simulate the GE data. Suggested changes that yield improved fan noise predictions but preserve the Heidmann model structure are identified and described. These changes are based on the sets of engine data mentioned, as well as some CFM56 engine data that was used to expand the combination tone noise database. It should be noted that the recommended changes are based on an analysis of engines that are limited to single stage fans with design tip relative Mach numbers greater than one. Kontos, K. B. and Janardan, B. A. and Gliebe, P. R. Glenn Research Center NOISE PREDICTION; TURBOFAN ENGINES; ENGINE NOISE; SUBSONIC FLOW; COMPUTER PROGRAMS; NOISE SPECTRA; AIRCRAFT NOISE; PREDICTION ANALYSIS TECHNIQUES; ENGINE INLETS; GAS JETS; BLADE TIPS; MACH NUMBER; COMBUSTION CHAMBERS...

Improved Nasa-Anopp Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems

Improved Nasa-Anopp Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723178085
Category :
Languages : en
Pages : 156

Book Description
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. An assessment of the ANOPP fan inlet, fan exhaust, jet, combustor, and turbine noise prediction methods is made using static engine component noise data from the CF6-8OC2, E(3), and QCSEE turbofan engines. It is shown that the ANOPP prediction results are generally higher than the measured GE data, and that the inlet noise prediction method (Heidmann method) is the most significant source of this overprediction. Fan noise spectral comparisons show that improvements to the fan tone, broadband, and combination tone noise models are required to yield results that more closely simulate the GE data. Suggested changes that yield improved fan noise predictions but preserve the Heidmann model structure are identified and described. These changes are based on the sets of engine data mentioned, as well as some CFM56 engine data that was used to expand the combination tone noise database. It should be noted that the recommended changes are based on an analysis of engines that are limited to single stage fans with design tip relative Mach numbers greater than one. Kontos, K. B. and Janardan, B. A. and Gliebe, P. R. Glenn Research Center NOISE PREDICTION; TURBOFAN ENGINES; ENGINE NOISE; SUBSONIC FLOW; COMPUTER PROGRAMS; NOISE SPECTRA; AIRCRAFT NOISE; PREDICTION ANALYSIS TECHNIQUES; ENGINE INLETS; GAS JETS; BLADE TIPS; MACH NUMBER; COMBUSTION CHAMBERS...

Improved Nasa-Anopp Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 2; Fan Suppression Model Development

Improved Nasa-Anopp Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 2; Fan Suppression Model Development PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722485368
Category :
Languages : en
Pages : 80

Book Description
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 best currently available methods for source noise prediction. As part of a program to improve the Heidmann fan noise model, models for fan inlet and fan exhaust noise suppression estimation that are based on simple engine and acoustic geometry inputs have been developed. The models can be used to predict sound power level suppression and sound pressure level suppression at a position specified relative to the engine inlet. Kontos, Karen B. and Kraft, Robert E. and Gliebe, Philip R. Glenn Research Center...

Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems

Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 82

Book Description


Improved NASA-ANOPP Noise Predication Computer Code For Advance Subsonic Propulsion Systems ... NASA-CR-195480 ... Mar. 14, 1997

Improved NASA-ANOPP Noise Predication Computer Code For Advance Subsonic Propulsion Systems ... NASA-CR-195480 ... Mar. 14, 1997 PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Advanced Aircraft Design

Advanced Aircraft Design PDF Author: Egbert Torenbeek
Publisher: John Wiley & Sons
ISBN: 1118568095
Category : Technology & Engineering
Languages : en
Pages : 412

Book Description
Although the overall appearance of modern airliners has not changed a lot since the introduction of jetliners in the 1950s, their safety, efficiency and environmental friendliness have improved considerably. Main contributors to this have been gas turbine engine technology, advanced materials, computational aerodynamics, advanced structural analysis and on-board systems. Since aircraft design became a highly multidisciplinary activity, the development of multidisciplinary optimization (MDO) has become a popular new discipline. Despite this, the application of MDO during the conceptual design phase is not yet widespread. Advanced Aircraft Design: Conceptual Design, Analysis and Optimization of Subsonic Civil Airplanes presents a quasi-analytical optimization approach based on a concise set of sizing equations. Objectives are aerodynamic efficiency, mission fuel, empty weight and maximum takeoff weight. Independent design variables studied include design cruise altitude, wing area and span and thrust or power loading. Principal features of integrated concepts such as the blended wing and body and highly non-planar wings are also covered. The quasi-analytical approach enables designers to compare the results of high-fidelity MDO optimization with lower-fidelity methods which need far less computational effort. Another advantage to this approach is that it can provide answers to “what if” questions rapidly and with little computational cost. Key features: Presents a new fundamental vision on conceptual airplane design optimization Provides an overview of advanced technologies for propulsion and reducing aerodynamic drag Offers insight into the derivation of design sensitivity information Emphasizes design based on first principles Considers pros and cons of innovative configurations Reconsiders optimum cruise performance at transonic Mach numbers 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.

Noise Certification Predictions for FJX-2-Powered Aircraft Using Analytic Methods

Noise Certification Predictions for FJX-2-Powered Aircraft Using Analytic Methods PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 26

Book Description


Advanced Aircraft Flight Performance

Advanced Aircraft Flight Performance PDF Author: Antonio Filippone
Publisher: Cambridge University Press
ISBN: 1107024005
Category : Mathematics
Languages : en
Pages : 665

Book Description
This unique book deals with the aeroplane at several levels and aims to simulate its flight performance using computer software.

Monthly Catalog of United States Government Publications

Monthly Catalog of United States Government Publications PDF Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 900

Book Description


Air Transport and Operations

Air Transport and Operations PDF Author: R. Curran
Publisher: IOS Press
ISBN: 1614991189
Category : Transportation
Languages : en
Pages : 568

Book Description
This book presents the proceedings of the joint conference held in Delft, the Netherlands inJune 2012, incorporating the 3rd International Air Transport Operations Symposium ATOS, the 3rd Association of Scientific Development in Air Traffic Management in Europe ASDASeminar, the 6th International Meeting for Aviation Products Support Processes IMAPP and the 2012Complex World Seminar. The book includes the majority of academic papers presented at the conference, and provides a wide overview of the issues currently of importance in the world of air transport.pIOS Press is an international science, technical and medical publisher

Noise Reduction Potential of Large, Over-the-Wing Mounted, Advanced Turbofan Engines

Noise Reduction Potential of Large, Over-the-Wing Mounted, Advanced Turbofan Engines PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

Book Description