In this study, we investigate the effect of the interaction of tractor propellers in a distributed propulsion configuration with a lifting surface. A numerical framework is developed based on a Vortex Lattice Method lifting-line coupled with a Blade Element Momentum Theory model. An optimal distributed propulsion configuration is defined by implementing a genetic algorithm based approach, that is aimed at maximizing lift, propulsive efficiency and aerodynamic efficiency. This study was conducted over a multiple number of configurations of propellers, showing that a 10% increase in lifting capabilities is achievable with the use of distributed propulsion in a wing representative of a regional transport aircraft.

A Genetic-Algorithm Based Approach for Optimized Distributed Propulsion / Comunian, Paolo; Serpieri, Jacopo; Cafiero, Gioacchino. - (2024). (Intervento presentato al convegno AIAA Aviation Forum and ASCEND, 2024 tenutosi a usa nel 29 July - 2 August 2024) [10.2514/6.2024-3603].

A Genetic-Algorithm Based Approach for Optimized Distributed Propulsion

Comunian, Paolo;Serpieri, Jacopo;Cafiero, Gioacchino
2024

Abstract

In this study, we investigate the effect of the interaction of tractor propellers in a distributed propulsion configuration with a lifting surface. A numerical framework is developed based on a Vortex Lattice Method lifting-line coupled with a Blade Element Momentum Theory model. An optimal distributed propulsion configuration is defined by implementing a genetic algorithm based approach, that is aimed at maximizing lift, propulsive efficiency and aerodynamic efficiency. This study was conducted over a multiple number of configurations of propellers, showing that a 10% increase in lifting capabilities is achievable with the use of distributed propulsion in a wing representative of a regional transport aircraft.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2995945
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