IMPLEMENTATION OF A NOISE PREDICTION SOFTWARE FOR CIVIL AIRCRAFT APPLICATIONS

This paper introduces the activities performed at University of Naples Federico II within the ADORNO research project. ADORNO project, "Aircraft Design and NOISE Rating for regional aircraft" is a research project financed by European Commission under the Horizon 2020 Program Clean Sky 2, focused on the development of aircraft models for a regional aircraft engine platform. The main objective is to evaluate the benefits of Clean Sky 2 developed technologies at aircraft system level, with respect to gaseous and noise emissions. One of the enablers is the development of an efficient noise prediction tool and its integration into an existent aircraft design and analysis chain. The developed tool can model the "near field" noise sources and with a propagation model estimate noise level in the space. The paper presents an application of noise estimation (Effective Perceived Noise Level) on the certification points (flyover, sideline and approach) of a regional turbofan aircraft. The aircraft is designed and analyzed with the aircraft design chain (JPAD) and needed input data passed to noise prediction tool to compute noise level. Results, in EPNL scale, are compared to EASA certified data, showing an overestimation of noise level lower than 1 dB in the three certifications points.