Mestrado em Engenharia Mecânica
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Navegando Mestrado em Engenharia Mecânica por Autor "Abreu, Luiz Alberto da Silva"
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- ItemEstimativa de estados e parâmetros para microtrocadores de calor utilizando filtros de partículas(Universidade Federal do Espírito Santo, 2016-11-07) Cosmo, Marcos Palácio; Abreu, Luiz Alberto da Silva; Silva, Wellington Betencurte da; Dutra, Júlio Cesar Sampaio; Martins, Marcio FerreiraThe control of the temperature field in photovoltaic cells has fundamental importance for its correct functioning. This work deals with the analysis through inverse problems involving two Micro-heat exchanger composed respectively of one and three circular microchannels. These equipments are commonly used in the temperature control of photovoltaic cells, its efficiency is directly associated with the flow velocities inside the microchannels that make up the Micro-heat. In this work, estimates were obtained for the flow velocities of the fluid inside the microchannels and, also, for the entire temperature field of the Micro-heat exchanger. The solution of the associated direct problem was obtained through Fluent software (ANSYS) that was interconnected to the MatLab platform. The MatLab was used in the implementation of the SIR Filter, on the inverse problem. The results obtained by simulated measurements of temperature showed that the fluid velocities and the temperature range of the Micro-heat exchanger can be estimated accurately in the presence of different noise levels in the measurements.
- ItemIdentificação de falhas em compósitos laminados usando Unscented Kalman Filter(Universidade Federal do Espírito Santo, 2018-03-09) Florindo, Leone Bernardo; Abreu, Luiz Alberto da Silva; Silva, Wellington Betencurte da; Martins, Márcio Ferreira; Soares, Vinícius BarrosoComposite materials have numerous applications in the most varied areas of engineering.In this scope, mastery of these materials becomes necessary. The composite materialacquires properties of each materials that constitute it. However, between its layers theremay be adhesion failures, compromising its quality. In this way, it is proposed to estimatethe thermal contact conductance at the interface of a laminated composite, which canbe directly associated with adhesion failures. Therefore, it was proposed to apply theUnscented Kalman Filter with the method of lines to solve an inverse heat transfer problem.It was established a physical problem characterized by being transient regime and two-dimensional, then the thermal contact conductance at the interface between the layers is afunction of time and space in one direction. The temperature measurements used as inputdata for the equations that model the problem were obtained through simulations. In thetests carried out, a variety of materials and composite dimensions were used. A sensitivityanalysis was made regarding noises in the measuared temperatures and a verification ofthe influence of the time in the physical problem relating to the computational effort. Theresults have shown that the methods applied were effective to indentify the laminatedcomposite failure
- ItemMetamodelagem para análise térmica no torneamento com ferramenta de aço rápido usando redes LSTM(Universidade Federal do Espírito Santo, 2024-12-13) Santos, Hugo dos Anjos; Dutra, Júlio Cesar Sampaio; Silva, Wellington Betencurte da; Macedo, Marcelo Camargo Severo de; Abreu, Luiz Alberto da SilvaThe prediction of temperature distribution during the turning process is essential for optimizing machining operations and extending tool life. This study investigates the application of LSTM neural networks to model the temperature field in turning operations using high-speed steel tools. The research compares numerical simulations conducted with ANSYS® software against simulated data generated by the software, enabling a comprehensive analysis of heat transfer mechanisms. The results reveal that the LSTM neural network is highly effective, achieving low root mean square error (RMSE) values and processing data more efficiently compared to traditional numerical methods. This dissertation proposes a metamodel that maintains prediction accuracy while significantly reducing computational costs compared to conventional simulations. This approach has the potential to enhance thermal monitoring in industrial processes, optimizing production and improving machining quality. Additionally, the study contributes to Sustainable Development Goal (SDG) No. 9 – Industry, Innovation, and Infrastructure – by promoting innovative technologies that strengthen industrial competitiveness and sustainability.