Sistema de monitoramento sonoro para a soldagem MAG curto-circuito (SiMoSS)

• Ano de defesa: 2015
• Autor(a) principal: Machado, Marcus Vinícius Ribeiro
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; Brasil; Programa de Pós-graduação em Administração
• Palavras-chave em Português: Monitoramento; Sonoro; Soldagem; Curto-circuito; Regularidade; Monitoring; Sound; Welding; Short-circuit; Regularity; CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::PROCESSOS DE FABRICACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/21221; http://dx.doi.org/10.14393/ufu.te.2017.10

The monitoring of welding processes is crucial industrial activity and, during the last years, studies and development have been carried out with emphasis on ISO 3834 demands. The monitoring of electrical signals (current and voltage) in welding is well stablished in the study and development of welding processes and procedures, and it is used in industries for tracking production lines, operation verification and product documentation. Within this context, the sound monitoring has been treated as a possibility for monitoring and tracking welding processes, with limitations justified by its lack of robustness against external noise interference. One of the objectives of using monitoring in welding is to assess criteria that indicate operational conditions with regularity. The study of metal transfer regularity in short-circuit welding process has been carried out by electrical signals monitoring and by using the Regularity Index (IVCC), among others. Therefore, this work employs the sound signal from the conventional short-circuit MAG for determining the Regularity Sound Index (IVCCS), with the consequent development of an embedded, portable, low cost system for monitoring and evaluation of the process regularity. From the analyses of process regularity, the developed system proposes improvement suggestion. This is carried out by an implement algorithm that processes the sound signal and determines the IVCCS and, by using a database, proposes new adjustment in welding parameters. All of these steps are carried out by an embedded, portable, versatile and easy-to-use system.