Programa de Pós-graduação em Engenharia Mecânica
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Navegando Programa de Pós-graduação em Engenharia Mecânica por Por Área do CNPQ "ENGENHARIAS::ENGENHARIA MECANICA"
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Item Modelagem e implementação de uma planta didática de manufatura robótica inspirada em planejamento automático(Universidade Federal de Goiás, 2023-06-30) Alves, Weslley da Silva; Fonseca, João Paulo da Silva; http://lattes.cnpq.br/5217261758266411; Fonseca, João Paulo da Silva; Tavares, José Jean Paul Zanlucchi de Souza; Soares, Anderson da SilvaCurrent manufacturing systems have been undergoing significant technological advancements, particularly in the field of production planning and automation. The Fourth Industrial Revolution, or Industry 4.0, has already begun to enable technological innovations across various domains, especially in the manufacturing and services industries. There has been a noticeable surge in research on artificial intelligence techniques involving manufacturers seeking efficiency and speed. To achieve 'intelligent' behavior, it is inevitable to implement techniques for automated problem-solving, enabling some decision-making by the equipment and devices themselves. Automated planning, also known as 'automated planning' or 'AI Planning' in English, defines a specific type of state transition problem in which the goal is to find an admissible sequence of actions to bring the system from a certain initial state to a desired final state. The use of automated planning applied to manufacturing processes is gaining prominence in the academic sphere due to the potential to expand the use of techniques in real-world applications in modern industry. This work aims to primarily analyze data from the integration of automated planning solutions into real systems and describe a practical example based on a didactic plant that simulates a production line in a factory composed of individual cells. For the project's implementation, a programmable logic controller (PLC) was used as a model of real systems used in industrial automation, and the assembly and description steps of each station are presented. The language used for modeling the planning domain was the 'Planning Domain Definition Language' (PDDL), through the online platform 'PDDL Editor,' which is part of a set of online tools for AI Planning called 'Planning.Domains.' The modeling was distributed across five stations to facilitate solving the proposed problem for each station, thus generating five solution plans, one for each station. The results achieved from the domain modeling method in manufacturing using an online automated planning tool included the generation of solution plans for the proposed scenarios and practical implementation on the didactic bench using the 'Sequential Function Chart' (SFC) programming language. The proposed approach was compared with the classical approach, which concentrated programming logic on the PLC and used the Ladder programming language, highlighting the potential of using automated planning for Industry 4.0-related topics.Item Tratamento de superfície em substratos de aço da indústria farmacêutica via laser de CO2(Universidade Federal de Goiás, 2023-08-31) Martins, André Carvalho; Cunha, Daniel Fernandes da; http://lattes.cnpq.br/7364532451621106; Contin, André; http://lattes.cnpq.br/5450987692265022; Contin, André; Bertholdi, Jonas; Ferreira Filho, Demóstenes; Cunha, Daniel Fernandes daAISI 304 stainless steels play a crucial role in the pharmaceutical industry due to their resistance to chemical reactivity. However, their wear resistance is limited in high-temperature and highpressure environments. Laser treatment emerges as a promising approach to enhance their properties. In this study, a low-cost 100 W CO2 laser is used for the surface treatment of AISI 304 steels, with the addition of carbon black powder. The results showed a significant increase in surface hardness after laser treatment compared to the untreated substrate. EDS analyses revealed the presence of carbon on the surface of the substrates. In addition to the increased surface hardness, the coefficient of friction of the laser-treated samples was reduced when compared to the reference substrate. Ultimately, carbon black acted as a photoabsorbing material for radiation, a source of carbon for increasing surface hardness, and as a solid lubricant. These results demonstrate the viability of using a low-cost CO2 laser as an efficient, versatile, and rapid alternative to improve the properties of materials employed in the pharmaceutical industry.Item Avaliação de resistência mecânica e análise de forma geométrica de elementos de fixação por rosca fabricados através de manufatura aditiva(Universidade Federal de Goiás, 2023-08-31) Prado, Thiago Menezes do; Viana, Rhander; http://lattes.cnpq.br/5270141650315822; Cunha, Daniel Fernandes da; http://lattes.cnpq.br/7364532451621106; Cunha, Daniel Fernandes da; Ziberov, Maksyn; Medeiros, Everton Coelho de; Viana, RhanderThe work addresses the mechanical tensile strength of internal fillets in specimens manufactured in PLA and ABS from additive manufacturing by Fused Deposition Modelling (FDM). Test specimens measuring 30 x 30 x 20 mm were manufactured in PLA and ABS with a 3D printer model Ender 3 V2. The through hole of the specimens has measurements M12 x 1.75. Varied parameters used were: infill (p), number of walls (w) and height of the layers (h), to enable the understanding of how the mechanical resistance of the material is affected. Thus, the present study aimed to compare the mechanical resistance of PLA and ABS polymers through tensile tests, defining which material has greater resistance and with low production cost from 3D printing. The tensile tests were carried out using a tensile machine with a maximum capacity of 600 kN, which gradually applied tension to the specimens until the material fractured or ruptured. For the result analysis, relation of resistance from the specimens was verified graphically (force x time) and statistically (ANOVA), judging the influence of variables in individual and collective content in the achieved results. Pieces printed in PLA showed a higher quality of mechanical resistance compared to those made from ABS material when graphic results obtained were verified. As a statistical result, the ANOVA analysis identified the factor with greatest influence on tests were infill (P%), being preponderant both individually and collectively, when analyzing its influence with other two variables.