Otimização multiobjetivo de perfis aerodinâmicos utilizando algoritmo genético
In aviation, a search for more efficient aircraft has grown in the face of concerns from governments and the environment, forcing new aircraft designs to emit less and less CO2 into the atmosphere. All aerodynamic designs have a vital part in common, which is the airfoil. In this work, you can fi...
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| Formato: | Dissertação |
| Idioma: | pt_BR |
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/28512 |
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| Resumo: | In aviation, a search for more efficient aircraft has grown in the face of concerns
from governments and the environment, forcing new aircraft designs to emit less
and less CO2 into the atmosphere. All aerodynamic designs have a vital part in
common, which is the airfoil. In this work, you can find an optimal airfoil, with a
multi-objective approach through a genetic algorithm in Matlab®, which uses
XFOIL to obtain aerodynamic characteristics of users. In order to obtain a good
diversification of the population, 300 airfoils were made available on the aerofoil
data site. For XFOIL, the International Standard Atmosphere was adopted, number
of refined from 5.00 to 5, number of males from 0.05, Ncrit from 9, maximum
number of iterations from 100 and an attack control range from 0º to 18º. For the
genetic algorithm, a probability of crossing of 90%, 5% for mutation was adopted.
The optimum airfoils performed better than other optimization jobs, where they had
improvements in the order of 32% of
for flying wings, 67% of
for empennage
and better efficiencies of around 70% for wind turbines. The algorithm also used,
airfoils with softer stall characteristics for wings and noise reduction for wind
turbines. For future work, it is suggested to research a larger number of Reynolds,
and other aerodynamic solvers, in addition to implementing an optimization by the
inverse method, using an ideal pressure distribution. |
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