Desenvolvimento de uma metodologia para usinagem econômica em um processo de torneamento e mandrilamento em uma indústria não automatizada

• Autor(a) principal: Pereira, Pedro Paulo Spagnolo
• Data de Publicação: 2023
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFSCAR
• Texto Completo: https://repositorio.ufscar.br/handle/ufscar/17707
• topic: Geração de energia; Componentes mecânicos; Tempos de produção; Custos de produção; ENGENHARIAS::ENGENHARIA MECANICA

The hydroelectric sector is considered one of the main sources of electricity generation in the country, given the high production capacity involving this energy matrix, in addition to the great abundance of this resource at the national level. Within an industrial context, the manufacturing of mechanical components for hydroelectric power plants is highly influenced by conventional machining processes, such as turning and boring. In the case of a nonautomated manufacturing model, precisely because of the peculiarities of each project, there is no standard regarding machining parameters, quantity of inserts used, piece geometry, and machining time, factors that are fundamental to determine production times and costs for each component. Thus, in the present work, we aim to identify the main machining parameters used, quantity of inserts used per batch of parts, machining time, and cost in the manufacturing of mechanical equipment for small, medium, and large hydroelectric power plants, with the objective of developing a methodology to determine the economic conditions of machining in terms of maximum production and minimum cost. The parameters studied were pointed out from the data collected regarding the machining protocols of the company for each process operation, as well as the quantity of materials used in past and current fabrications in relation to the study in question. In short, the applied methodology was able to map the machining of the Francis turbine rotor in an analytical way and to determine the real influence of the cutting speed on costs and production time.