Aplicação do planejamento de experimentos fatorial fracionário para análise de variáveis em impressão 3d

• Autor(a) principal: Santos, Dener Augusto Oliveira
• Data de Publicação: 2022
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/35633
• topic: Planejamento de experimentos; Fatorial fracionado; Manufatura aditiva; Design of experiment; Fractional factorial; Additive manufacturing; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO

With recent advances in additive manufacturing, the process of building an object through the deposition of a certain material layer by layer, several studies on materials and methods have been carried out in recent decades. Additive manufacturing grows exponentially and in recent years the analysis of factors and their effects has been gaining ground given the specificity of each project or study where it is necessary. In order to understand the effect that layer height, printing speed, table temperature and extruder nozzle temperature of the Ender 3 printer have on printing time, printed part mass and electrical energy consumption, a 24-1 fractional factorial design for each response to be studied. The analysis of variance of the three responses is presented together with the effects graphs that show, with statistical significance, the influence or non-influence of the input factors on each response. It was identified that no input parameter has any influence on the mass, that the layer height and the printing speed influence both the printing time and the electrical energy consumption, that the interaction between layer height and printing speed also influences the printing time, that the table temperature and the interaction between it and the layer height influence the electric energy consumption. A mathematical model is presented for determining the printing time and another for the consumption of electrical energy.