Otimização das características aerodinâmicas de superfícies sustentadoras utilizando algoritmos genéticos

• Autor(a) principal: Pereira, Lucas Parreira de Abreu
• Data de Publicação: 2021
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/32273
• topic: Algoritmo genético; Otimização; Aerodinâmica; Estabilidade; Longitudinal; Preliminar; CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::PROJETOS DE MAQUINAS::METODOS DE SINTESE E OTIMIZACAO APLICADOS AO PROJETO MECANICO; CNPQ::ENGENHARIAS::ENGENHARIA AEROESPACIAL::DINAMICA DE VOO::ESTABILIDADE E CONTROLE

The purpose of this work is to develop a routine that enables the optimization of geometric values, allowing the resulting lifting surfaces to meet the requirements of the optimized mission and longitudinal static stability. The optimization process consists of a genetic algorithm that uses an aerodynamic module based on a non-linear Vortex-Lattice Method (VLM) and another module that certifies compliance with the criteria of longitudinal static stability to verify the analyzed model’s performance. In this case, the results obtained were compared with a conventional off-the-shelf aircraft model and was noticed an increase in the aerodynamic efficiency of the optimized models, they also have a stable condition for the cruise phase and the stall situation, as it has a restoring momentum and is able to lift the maximum take-off weight. Thus, the use of this algorithm allows to enhance the user experience during the transition from the Conceptual to Preliminary design phases, so it is possible to validate the geometric features from the wing and from the horizontal tail.