Implementation of a noise prediction software for civil aircraft applications (

This paper introduces the activities performed at University of Naples Federico II developed within the ADORNO research project. ADORNO project, "Aricraft 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 provide aircraft requirements as well as trade factors for specific fuel consumption, engine drag and engine weight on fuel burn for both a year 2014 reference aircraft and a CS2 targhet aircraft. In addition, an aircraft noise method will be developed and integrated in an aircraft design chain, providing an overall aircraft design chain. The call for proposal topic manager is MTU Aero Engines AG, and the partners are University of Naples Federico II and the small aeronautical company Lead Tech. Two aspects are proceeding, i) the aircraft design and ii) the noise evaluation, to allow a fast and reliable estimation of aircraft Noise and Emissions in terms of CO2, NOx at different mission phases, through the implementation of a flexible aircraft model which provides requirements and trade factors for the engine platform in terms of thrusts and take-off at different power settings and flight conditions. A reference 2014 regional turbofan aircraft has been designed and used as baseline and benchmark for the following steps. Fuel consuptions, emissions and noise trajectories have been computed. Following, trajectories are provided to the Noise tool, to compute noise in certification points and noise footprint. The noise evaluation is carried out following several main steps. The first one is represented by the estimation of the noise coming from single aircraft components such as engines, high lift devices or landing gears. Next, the total aircraft noise comes frome the summing up all the previous contributions taking also into account for interference effects, ground reflection and atmospheric absorption which could be very significant. Once the aircraft noise source is modelled within the "near field", a propagation model is used to estimate the noise level on the ground. Finally, the optimization process of the approach and take off trajectories to guarantee the minimum noise level is the result of this process.