Multi-Objective Optimization of the Performance of an UHB Turbofan with Regeneration

• Autor(a) principal: Oliveira, Fábio Guilherme Santos Marques de
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.6/4851
• topic: Algoritmo Genético; Bypass; Consumo Específico de Tracção (Tsfc); Optimização Multiobjectivos; Regenerador de Calor; Tracção Específica (Fs).; Turbofan; Uhb; Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias

Every day the world faces the constant degradation of its environment. The global warming, between many other environmental problems, presents itself as a giant that, day by day, quietly grows and which the only warnings are the gradually severe effects that the planet displays. Before an increasingly real scenario, public concerns rise about the environmental conditions of the planet in the near future, as well as the consequences for the Mankind. The growth of the human population and its interaction with the environment that contains it, as well as a global economy in an increasing competitiveness obliges that an evolving society complies in the most effective way to the environmental and economic challenges in the future ahead. Being the aeronautical industry one of the main fields where the most recent ideas and technological innovations take place, several initiatives have been taken to cope with these challenges. The environmental problems of the planet as well as the economic challenges, namely the rise of the fuel prices, are more and more the center of attentions, if not the main objectives to overcome in current aeronautical projects. These projects aim the best possible answer in an expansion and strong demanding market. This dissertation focus on the study of several parameters of a Turbofan engine, the type of engine most used in commercial aviation around the world. At the present moment, we are facing a period of critical decisions by the air carriers in the renewal / upgrade of their fleet, consequently the new aircrafts will be equipped with Turbofan engines that promise improvements at all levels relatively to their predecessors. These new engines are characterized by a superior Bypass regarding the current engines; they are referred as UHB (Ultra Bypass Ratio) Turbofans and possess lower values of SFC (Specific Fuel Consumption). Therefore this study is intended to analyze the behaviour of these parameters along with the new Bypass values and also evaluate if the utilization of a heat regenerator will be viable to obtain lower values of SFC relatively to a configuration without regeneration. At last, it will be carried a parameter optimization for both sets, using a Genetic Algorithm designed for Multi-Objective Optimization.