Proposição de um sistema IoT (Internet of Things) para gerenciamento de spindles em operação

• Autor(a) principal: Bachim, Thyago
• Data de Publicação: 2020
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da Uninove
• Texto Completo: http://bibliotecatede.uninove.br/handle/tede/2443
• topic: máquinas-ferramentas; indústria 4.0; manutenção; spindle; internet das coisas; machine tools; industry 4.0; maintenance; spindle; internet of things; ENGENHARIAS::ENGENHARIA DE PRODUCAO

With the development of production processes over the last decades, machine tools has been evolving and today it is impossible not to visualize on a daily basis the new facilities arising from technological developments, the most current, called the Fourth Industrial Revolution or Industry 4.0 (I 4.0). Because it is so relevant, it has become a competitive differential in all markets and will not be different in the industry nor in its operational areas. Knowing when there will be the previous failure of any machine is fundamental for the maximization of the company's results and consequently the minimization of operational costs. This research aimed to evaluate a proposal for a IoT (internet of things) system for online management of spindles in operation, to provide reliable data for maintenance management in the context of industry 4.0. The evaluation of the application of the method-type artifact in an automotive industry took place through design science research, which was defined as a research method. Thus, a artifact was developed through the systematic review of the literature and a proposal was created for the implementation of an online monitoring system in spindles, which was demonstrated and evaluated arriving at the validation of the method-type artifact in the automotive industry. The results of this application contribute theoretically with an extensive systematic review of the literature, with the models and methods applied besides developing a method-type artifact that can be used as a tool for the implementation of the 4.0 industry with the delivery of a detailed planning. In addition, the normal behavior of the spindle in operation is demonstrated, contributing to both academia and industry in the sense of advancing knowledge and preventing catastrophic failures. It is possible to mention the future works arising from the research are related to another important concept of I 4.0, which is the artificial intelligence to perform prognostics in addition, obviously, to the replication of the study in different models of machine tools