A Component Based Empirical Model for Airframe Noise Prediction

2002 ◽  
Author(s):  
Yueping Guo ◽  
Kingo Yamamoto ◽  
Rob Stoker
Keyword(s):  
Empirical Model ◽  
Noise Prediction ◽  
Airframe Noise

Tradeoff of Airframe Noise and Field Length in Conceptual Design of Airliner

2013 ◽  
Vol 295-298 ◽  
pp. 2026-2029 ◽  
Author(s):  
Manandhar Ashish ◽  
Shuai Zhang ◽  
Xiong Qing Yu
Keyword(s):  
Conceptual Design ◽  
Noise Level ◽  
Aircraft Noise ◽  
Noise Prediction ◽  
Noise Levels ◽  
Wing Area ◽  
Airframe Noise ◽  
Prediction Program ◽  
Noise Signature

The purpose of this paper is to present a tradeoff study of airframe noise and field length due to wing area and flap setting configuration during conceptual design. The aircraft takeoff and landing length is predicted by the Matlab synthesis code for airliner conceptual design. The NASA’s Aircraft Noise Prediction Program (ANOPP) is used to evaluate the airframe noise signature. It is found that: (1) with the increase in wing area both the landing and takeoff field length will be reduced, and approach noise decreases whereas the takeoff noise increases; (2) with the increase in flap setting from 50 to 200, both landing and takeoff field length reduces but the noise level increases during takeoff and decreases during the approach. The results can help designers to select suitable values of wing area and flap setting to meet both the requirements of field length and noise levels.

Research at DLR towards airframe noise prediction and reduction

2008 ◽  
Vol 12 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Werner Dobrzynski ◽  
Roland Ewert ◽  
Michael Pott-Pollenske ◽  
Michaela Herr ◽  
Jan Delfs
Keyword(s):  
Noise Prediction ◽  
Airframe Noise

Component-Based Empirical Model for High-Lift System Noise Prediction

2003 ◽  
Vol 40 (5) ◽  
pp. 914-922 ◽  
Author(s):  
Y. P. Guo ◽  
K. J. Yamamoto ◽  
R. W. Stoker
Keyword(s):  
Empirical Model ◽  
Noise Prediction ◽  
High Lift ◽  
System Noise

Development of an Empirical Model for Noise Prediction in Typical Industrial Workrooms Based on Artificial Neural Networks

2013 ◽  
Vol 44 (10) ◽  
pp. 9-21
Author(s):  
Mohsen Aliabadi ◽  
Rostam Golmohammadi ◽  
Muharram Mansoorizadeh ◽  
Hassan Khotanlou ◽  
Abdoreza Ohadi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Empirical Model ◽  
Noise Prediction ◽  
Artificial Neural
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