Análise computacional de emissão de poluentes em motores de combustão interna usando diferentes misturas entre etanol e gasolina

• Autor(a) principal: Costa Júnior, Fernando Lúcio da
• Data de Publicação: 2018
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/23501
• topic: Emissão de poluentes; Combustíveis; Simulação computacional; AVL BOOST; Fiat Fire 1.0; Pollutant emissions; Fuels; Computational simulation; CNPQ::ENGENHARIAS::ENGENHARIA MECANICA

The battle against atmospheric pollution is gaining strength nowadays. There is a concern about using natural resources wisely, thus, mitigating environment and human health impacts, plays an important role in creating sustainable conditions for future generations. Based on this idea, this paper has the objective to study a computer simulated engine in order to evaluate its performance, characteristics results and responses to pollutant emissions using different types of fuel: regular gasoline, ethanol, and a mixture of 50% regular gasoline and 50% ethanol. The engine used as inspiration for the model construction was the Fire 1.0, manufactured by Fiat, which is a Flex engine used in some popular car models such as Uno and Palio. This engine is located at the Federal University of Uberlândia, arranged in an experimental bench for conducting tests and studies. Using the AVL BOOST software, the virtual model was designed based on known parameters from the experimental bench and also with data recommended by the users guide offered by the tool. After the model’s creation, a series of simulations and adaptations were carried out so that the response could reach the expected results and then validated for the purpose of the work. Once the results were considered satisfactory, the pollutant emission simulation was performed and its results were analyzed according to published works and concepts obtained in the literature. During the work, it was noticed the great challenge was to reliably represent the physical engine in a virtual model, as well as the power that this tool has in order to aid tests and new technologies development within the automobile industry.