Pequenos finlets em penas de coruja apontam o caminho para menos ruado de aeronaves
O resultado desta pesquisa seráimportante para o projeto de asas laminares no futuro e tem o potencial de reduzir o ruado da aeronave.
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)
Crédito: City University London
Uma pesquisa recente conduzida pelo professor Christoph Bruecker da Universidade de Londres e sua equipe revelou como finlets microestruturados em penas de coruja permitem o va´o silencioso e podem mostrar o caminho a seguir na redução do ruado de aeronaves no futuro.
O professor Bruecker épresidente da Royal Academy of Engineering Research da cidade em sensoriamento inspirado na natureza e controle de fluxo para transporte sustenta¡vel e Sir Richard Olver BAE Systems Chair para engenharia aerona¡utica.
Sua equipe publicou suas descobertas no jornal do Instituto de Fasica, Bioinspiration and Biomimetics, em um artigo intitulado 'Efeito de giro de fluxo e controle laminar pela curvatura 3-D das serrilhas de ponta da asa da coruja'.
A pesquisa descreve a tradução dos dados detalhados de geometria 3-D de exemplos tapicos de penas de coruja fornecidos pelo Professor Hermann Wagner na RWTH Aachen University (Alemanha) em um aerofa³lio biomimanãtico para estudar o efeito aerodina¢mico nos filamentos especiais na borda dianteira das penas .
Os resultados mostram que essas estruturas funcionam como arranjos de aletas que giram de maneira coerente a direção do fluxo pra³ximo a parede aerodina¢mica e mantem o fluxo por mais tempo e com maior estabilidade, evitando turbulaªncias.
Crédito: City University London
A equipe de pesquisa da cidade foi inspirada pela complexa geometria 3-D das extensaµes ao longo da frente das penas da coruja - reconstruada pelo Professor Wagner e sua equipe em estudos anteriores usando micro-tomografias de alta resolução.
Crédito: City University London
Apa³s serem transferidas para um modelo digital, as simulações de fluxo em torno dessas estruturas (usando dina¢mica de fluidos computacional) indicaram claramente a função aerodina¢mica dessas extensaµes como finlets, que giram a direção do fluxo de forma coerente.
Este efeito éconhecido por estabilizar o fluxo sobre um aerofa³lio de asa varrida, tapico de corujas enquanto batem as asas e planam.
Usando estudos de fluxo em um taºnel de a¡gua, o professor Bruecker também provou a hipa³tese de rotação de fluxo em experimentos com um modelo de alhetas ampliado.
Sua equipe ficou surpresa com o fato de que, em vez de produzir va³rtices, os finlets agem como aletas-guia finas devido a sua curvatura 3D especial. O arranjo regular de tais finlets sobre a envergadura da asa, portanto, vira a direção do fluxo perto da parede de uma maneira suave e coerente.
A equipe planeja usar uma realização técnica de um padrãode aerofa³lio de asa varrida em um taºnel de vento aneca³ico para testes acaºsticos adicionais. O resultado desta pesquisa seráimportante para o projeto de asas laminares no futuro e tem o potencial de reduzir o ruado da aeronave.
Crédito: City University London