Žilinská univerzita v Žiline
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Item Noise optimisation of aircraft jet engines(University of Zilina, 2022) Veľký, Patrik; Pecho, PavolAviation industry is source of noise, which has negative impact to human health and significantly influences surrounding fauna and flora. Nowadays tendency and also a need of higher care about environment concerns the aviation sector as well, which has eminent negative aspects to environment. This study is concentrated on concept solution of changes of jet engine´s output parameters, especially focused on noise emissions, using shape changes of nozzle of created 3D jet engine model, what allows simpler, economic undemanding, but relevant resulting analyse of fluid flow through the engine. Object of the research is influence of the nozzle shape to the created noise effect, which was made by fluid flow going through this shape. The goal of the study is to make and analyse as much as possible ideal shape characteristics of jet engines with the reference to the noise. The result is evaluation of possibility to do some kinds of research and analysis of jet engines on 3D models of jet engines, their comparison with reference to another parameters, such as: thrust or fuel consumption. To completing research were used facilities, devices and places of Air Department, also necessary tools and other stuff which belongs to the owner of this study. For modelling 3D model of engine and nozzle shapes, was used computer software and production of these shapes allows 3D printer. Used methods for creating nozzles are with regards to real shapes of engine. Results and conclusions of this research are appropriate to be used in praxis of air or another industry, whose purpose is utilizing thrust units. With application of these data is possible the achieve reduced noise of certain unit, with some changes of other parameters, such as: increased or decreased fuel consumption or thrust, according to the initial requirements. Moreover, these results can be used not only for industrial purposes, but also are relevant for economics.