Documentação de convênios

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173

Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas

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2011 - 20182

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Tem arquivos: SimAssunto: search.filters.subject.Processos Industriais

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Agora exibindo 1 - 2 de 2
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    Utilização do Algoritmo no Controle Estatístico de Processo (CEP) e sua Confiabilidade nos Processos Industriais Aplicado em Controle de Torque: Estudo de Caso do Pólo de Duas Rodas
    (Universidade Federal do Pará, 2011) ALENCAR, David Barbosa de; OLIVEIRA, Roberto Célio Limão de
    The use of Statistical Process Control (SPC) is undoubtedly crucial in the production process, and competitiveness requires continuous improvement in the application of this tool. This paper aims to guide institutions and companies that want to adopt the use of computer technologies tools as SPC, presented through a simplified and affordable, the use of an algorithm. Statistical techniques can be excellent to show the degree of security required by a particular process, and here we show which tools to use in the SPC, to study and validate retrospectively the performance of understanding the production stage, we discuss the use of an algorithm for this application. The case study was applied in a two-wheel hub company, demonstrating the effectiveness of the algorithm in reducing process time and improving torque control reliability.
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    Método de Sintonia de Controlador PID de um Sistema de Carregamento de GLP
    (Universidade Federal do Pará, 2018) CALDERÓN JÚNIOR, Nibson Müller; NASCIMENTO, Manoel Henrique Reis
    PID controllers are increasingly present in various industrial processes. However, many control loops present tuning failures. This study proposes a methodology for modeling and analyzing industrial plant control systems based on real data, aiming to improve efficiency and optimize plant parameters. The tuning of the PID controller parameters was performed by identifying the dynamic model of the flow control of the LPG loading pump in a propane vessel loading terminal. The plant transfer function was obtained using the Process Reaction Curve method, applying a step disturbance to the manipulated variable (pump rotation). Simulations were conducted using the MATLAB/SIMULINK platform to ensure controller performance, with tuning adjustments made via MATLAB/PID Tuner. The results demonstrated that the adjusted PID controller successfully maintained the controlled variable at predetermined values, optimizing system performance.