Multi-objective optimization of the energy efficiency and the tonal noise of the propeller blades of an unmanned aerial systems rotor.
Abstract
Due to propeller blades impact on vehicle performances, energy efficency and noise, propeller blades design is important in aircrft design in general, and in unmanned arial system (UAS) in particular. An appropriate design of propeller blades shape with an optimal number of blades allows, on one hand, to improve aerodynamic performance while reducing the energy dependence of the UAS, thus reducing CO2 blades emissions and on the other hand a quieter rotor. However, having a rotor that is quieter and more efficient in terme of energy efficiency is the challenge of any aircraft manufacturer. Recent advances in numerical simulation made the implementation of multidisciplinary optimization for complex systems such as propeller blades is known as a task of considerable compuational time and complexity. In addition, the cost associated with the required commencial software contribure to increase in design costs. As a result, metamodel technics using open source algorithms as mean to explore and support the initial design concepts become standard pratice to reduce the computational time require and decrease the total design cost.
This paper proposes a multi-objective optimization approaches bases on metamodels. The approach adopted is to combine several open source codes such as Salome for design and meshing, OpenFoam for aerodynamic modelling and finally Dakota for generation of new parameters as well as the aerodynamic ans aeroacoustics performances optimization. Inproved aerodynamic and aeroacoustics performances were demonstrated numerically for an optmized propeller blades configuration as compared to a baseline geometry.
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