Assessment Of Nasas Aircraft Noise Prediction Capability PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Assessment Of Nasas Aircraft Noise Prediction Capability PDF full book. Access full book title Assessment Of Nasas Aircraft Noise Prediction Capability.

A Process for Assessing Nasa's Capability in Aircraft Noise Prediction Technology

A Process for Assessing Nasa's Capability in Aircraft Noise Prediction Technology
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 32
Release: 2018-05-22
Genre:
ISBN: 9781719375481

Download A Process for Assessing Nasa's Capability in Aircraft Noise Prediction Technology Book in PDF, ePub and Kindle

An acoustic assessment is being conducted by NASA that has been designed to assess the current state of the art in NASA s capability to predict aircraft related noise and to establish baselines for gauging future progress in the field. The process for determining NASA s current capabilities includes quantifying the differences between noise predictions and measurements of noise from experimental tests. The computed noise predictions are being obtained from semi-empirical, analytical, statistical, and numerical codes. In addition, errors and uncertainties are being identified and quantified both in the predictions and in the measured data to further enhance the credibility of the assessment. The content of this paper contains preliminary results, since the assessment project has not been fully completed, based on the contributions of many researchers and shows a select sample of the types of results obtained regarding the prediction of aircraft noise at both the system and component levels. The system level results are for engines and aircraft. The component level results are for fan broadband noise, for jet noise from a variety of nozzles, and for airframe noise from flaps and landing gear parts. There are also sample results for sound attenuation in lined ducts with flow and the behavior of acoustic lining in ducts. Dahl, Milo D. Glenn Research Center AERODYNAMIC NOISE; NOISE PREDICTION; ACOUSTIC DUCTS; JET AIRCRAFT NOISE; AIRCRAFT NOISE; ACOUSTIC ATTENUATION; TECHNOLOGY ASSESSMENT; AIRCRAFT ENGINES; PROGRESS; FAN BLADES; ERRORS


Aircraft Noise

Aircraft Noise
Author: Oleksandr Zaporozhets
Publisher: CRC Press
Total Pages: 432
Release: 2011-05-13
Genre: Technology & Engineering
ISBN: 0203888820

Download Aircraft Noise Book in PDF, ePub and Kindle

Aircraft noise has adverse impacts on passengers, airport staff and people living near airports, it thus limits the capacity of regional and international airports throughout the world. Reducing perceived noise of aircraft involves reduction of noise at source, along the propagation path and at the receiver. Effective noise control demands highly s


Open Rotor Noise Prediction at NASA Langley - Capabilities, Research and Development

Open Rotor Noise Prediction at NASA Langley - Capabilities, Research and Development
Author: National Aeronautics and Space Adm Nasa
Publisher: Independently Published
Total Pages: 32
Release: 2019-01-13
Genre: Science
ISBN: 9781793923035

Download Open Rotor Noise Prediction at NASA Langley - Capabilities, Research and Development Book in PDF, ePub and Kindle

The high fuel prices of recent years have caused the operating cost of the airlines to soar. In an effort to bring down the fuel consumption, the major aircraft engine manufacturers are now taking a fresh look at open rotors for the propulsion of future airliners. Open rotors, also known as propfans or unducted fans, can offer up to 30 per cent improvement in efficiency compared to high bypass engines of 1980 vintage currently in use in most civilian aircraft. NASA Langley researchers have contributed significantly to the development of aeroacoustic technology of open rotors. This report discusses the current noise prediction technology at Langley and reviews the input data requirements, strengths and limitations of each method as well as the associated problems in need of attention by the researchers. We present a brief history of research on the aeroacoustics of rotating blade machinery at Langley Research Center. We then discuss the available noise prediction codes for open rotors developed at NASA Langley and their capabilities. In particular, we present the two useful formulations used for the computation of noise from subsonic and supersonic surfaces. Here we discuss the open rotor noise prediction codes ASSPIN and one based on Ffowcs Williams-Hawkings equation with penetrable data surface (FW - Hpds). The scattering of sound from surfaces near the rotor are calculated using the fast scattering code (FSC) which is also discussed in this report. Plans for further improvements of these codes are given. Farassat, Fereidoun Langley Research Center WBS:561581.02.08.07.18.03


Airframe Noise Studies

Airframe Noise Studies
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 142
Release: 2018-06-15
Genre:
ISBN: 9781721148080

Download Airframe Noise Studies Book in PDF, ePub and Kindle

This report contains the following information: 1) a review of airframe noise research performed under NASA's Advanced Subsonic Transport (AST) program up to the year 2000, 2) a comparison of the year 1992 airframe noise predictions with those using a year 2000 baseline, 3) an assessment of various airframe noise reduction concepts as applied to the year 2000 baseline predictions, and 4) prioritized recommendations for future airframe noise reduction work. NASA's Aircraft Noise Prediction Program was the software used for all noise predictions and assessments. For future work, the recommendations for the immediate future focus on the development of design tools sensitive to airframe noise treatment effects and on improving the basic understanding of noise generation by the landing gear as well as on its reduction. Rackl, Robert G. and Miller, Gregory and Guo, Yueping and Yamamoto, Kingo Langley Research Center NAS1-97040; 23-781-20-12