Fan Noise Prediction with Applications to Aircraft System Noise Assessment
Author(s) -
Douglas M. Nark,
Edmane Envia,
Casey L. Burley
Publication year - 2009
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2009-3291
Subject(s) - aircraft noise , noise (video) , computer science , noise measurement , aerospace engineering , acoustics , engineering , noise reduction , physics , artificial intelligence , image (mathematics)
This paper describes an assessment of current fan noise prediction tools by comparing measured and predicted sideline acoustic levels from a benchmark fan noise wind tunnel test. Specifically, an empirical method and newly developed coupled computational approach are utilized to predict aft fan noise for a benchmark test configuration. Comparisons with sideline noise measurements are performed to assess the relative merits of the two approaches. The study identifies issues entailed in coupling the source and propagation codes, as well as provides insight into the capabilities of the tools in predicting the fan noise source and subsequent propagation and radiation. In contrast to the empirical method, the new coupled computational approach provides the ability to investigate acoustic near-field effects. The potential benefits/costs of these new methods are also compared with the existing capabilities in a current aircraft noise system prediction tool. The knowledge gained in this work provides a basis for improved fan source specification in overall aircraft system noise studies.
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