https://repositorio.ufba.br/handle/ri/34553 2026-04-17T16:15:43Z 2026-04-17T16:15:43Z Lima, Patrick Souza https://repositorio.ufba.br/handle/ri/41432 2025-03-13T14:14:09Z 2024-03-14T00:00:00Z

Identificação de padrões de escoamentos multifásicos em sistemas core annular flow baseados em fluidodinâmica computacional utilizando agrupamentos fuzzy Lima, Patrick Souza Schnitman, Leizer Petroleum, which is composed of a variety of chemical components, exhibits distinct physical and chemical characteristics, which requires the application of specific techniques to ensure adequate flow and avoid operational problems. Among these techniques, Core Annular Flow (CAF) stands out, as it reduces shear stresses by peripherally introducing a low-viscosity fluid. However, the injection of immiscible fluids can result in different multiphase flow patterns, which has been a challenge for the industry, which seeks to identify the flow pattern present in the system. To address this issue, a methodology was developed that combines Computational Fluid Dynamics (CFD) and artificial intelligence with fuzzy groupings. This approach allowed us to effectively identify different flow patterns. The simulations carried out were compared with experimental data already existing in the literature, demonstrating the validity of the proposed methodology. Furthermore, the application of fuzzy clustering enabled the detection of transition regions, providing a more detailed and continuous characterization of multiphase flow patterns, which expands the understanding of these phenomena in the industry. Universidade Federal da Bahia Dissertação

2024-03-14T00:00:00Z Gomes, Juliane Grasiela de Carvalho https://repositorio.ufba.br/handle/ri/40807 2024-12-20T16:28:40Z 2024-08-23T00:00:00Z

Novo radiômetro solar em topologia fly-eye produzido por manufatura aditiva Gomes, Juliane Grasiela de Carvalho Pepe, Iuri Muniz The use of solar generation has been increasingly widespread in Brazil in recent years due to it being a clean generation method, as well as the fact that Brazil is located in a region where solar irradiance is conducive to electricity production. For a photovoltaic system to perform well, the choice of location for its installation is crucial. This work proposes a solar radiometer with a fly-eye topology, resembling the eye of a fly. This technique, which draws inspiration from nature for technological development, is called biomimetics. The developed radiometer is of a reduced scale, allowing for greater mobility of the equipment and versatility of the structure since it is modeled using additive manufacturing and is easy to assemble and disassemble. It also includes a commercial pyranometer as a self-calibrator for the cells. With this equipment, it is possible to understand the dynamics of solar radiation during different times of the year and to confirm that the location where a photovoltaic generation system is intended to be installed is favorable for achieving the expected system performance. This equipment is an improvement on the work of student Lucas Barbosa da Silva. Universidade Federal da Bahia Dissertação

2024-08-23T00:00:00Z Cruz, Jhaidan Ribeiro https://repositorio.ufba.br/handle/ri/40806 2024-12-20T16:24:21Z 2024-08-12T00:00:00Z

SAMOM: uma arquitetura para operação de sistemas de manufatura com habilidades inteligentes e adaptativas Cruz, Jhaidan Ribeiro Lepikson, Herman Augusto Manufacturing systems commonly require adequate management and control (M&C) for decision-making and consequent meeting of production demands. Systems prior to Industry 4.0 (traditional) are limited in terms of the flexibility required to adapt to emerging demands, such as process diversity and product customization. In these systems, the typical characteristics of dedicated automation focused on islands do little to favor adequate integration. As a result, M&C activities require large amounts of resources. Industry 4.0 (I4.0) brings concepts and technologies that enable new manufacturing systems (4.0 manufacturing systems) with greater flexibility and M&C efficiency. This paper aims to propose an architecture for integrated management and control of discrete and batch manufacturing systems with distributed characteristics and predictive and adaptive capabilities. To this end, the architecture uses enabling technologies and concepts from I4.0, focusing on Data Analysis, AI, Systems Integration and Service-Oriented Architecture (SOA). The proposed model unfolds into a SOA, based on Multi-Agent Systems (MAS) and Manufacturing Execution Systems (MES). It also describes components, interactions, concepts and implementation particularities of such architecture. The proposed model was validated in a pilot plant of 4.0 manufacturing, where it was possible to demonstrate that the devices of such system were managed and controlled, with the help of digital representations (agents), in a decentralized, distributed and heterarchical way. It was also possible to demonstrate the realization, by the MAS in question, of predictions of the availability of the devices and of decision-making about the production performance. It is concluded that the work proves to be a reference for the implementation of architectures compatible with the G&C of manufacturing systems 4.0. Universidade Federal da Bahia Dissertação

2024-08-12T00:00:00Z Carvalho Filho, Paulo Henrique Farias de https://repositorio.ufba.br/handle/ri/40719 2024-12-02T16:34:31Z 2024-07-29T00:00:00Z

Uma Proposta para Integração Baseada em Dados para Gestão e Controle Inteligente de Manufatura Discreta Distribuída Carvalho Filho, Paulo Henrique Farias de Lepikson, Herman Augusto Manufacturing companies have been challenged to adapt their operations to meet market demand for increasingly customized products. Production involves the integration of different production systems, in order to meet the different needs required by customers. These support the management of activities in a collaborative manner, through interaction and cooperation between suppliers, customers, logistics and production systems that may be in geographically distinct locations and with different organizational systems. The integrated management of activities in this complex environment is the main challenge, as it requires an adequate computational intelligence system capable of analyzing all the critical aspects involved, characteristic of the enabling technologies of Industry 4.0 (I4.0) and adjusting production in a timely manner. This paper proposes an architecture for the integration of historical data for the Intelligent Management and Control of Manufacturing Systems with distributed characteristics. The proposal encompasses the sharing of historical information between the areas involved to plan, manage, and control the activities of each part, considering the best performance of the group. The application of the proposed method was tested and developed in an Advanced Manufacturing Plant in conjunction with the Senai-Cimatec Model Factory. The results were obtained and analyzed by making available historical data stored within the developed application. As a result, the necessary knowledge was achieved among the entities involved for assertive decision-making by the parties considering the performance of the whole. Universidade Federal da Bahia Dissertação

2024-07-29T00:00:00Z