https://repositorio.ifpe.edu.br/xmlui/handle/123456789/437 Trabalho de Conclusão de Curso - TCC Mon, 13 Apr 2026 16:56:00 GMT 2026-04-13T16:56:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/2057 Aplicação de ferramentas da qualidade e de análise de dados de telemetria: um estudo de caso em escavadeira hidráulica In industrial processes, quality management tools are used to ensure efficiency. The use of industrial statistics together with data from control and telemetry systems helps engineers in decision-making, with the objective of achieving product quality or improving performance indicators. Techniques such as PDCA (Plan, Do, Check, and Act) provide a robust structure for implementing improvements. In the present study, a process is improved using these tools. Telemetry data from a hydraulic excavator operating in ore loading are analyzed. A continuous improvement action using the PDCA cycle is implemented to impact three fundamental aspects of the operation: consumption, performance, and sustainability. After implementation, it was possible to reduce the annual fuel consumption cost of a single piece of equipment by approximately R$ 2.646,00. With the expansion of the improvement to the equipment fleet, savings can reach R$ 31.752,00 per year. Another outcome was the reduction in the operation cycle time, which decreased by up to 51.04% after the implementation of the process improvement. Finally, it was also possible to achieve an average reduction of 2.03% in the equipment’s emission rate between the adoption and implementation phases of the proposed procedure. Wed, 01 Jan 2025 00:00:00 GMT https://repositorio.ifpe.edu.br/xmlui/handle/123456789/2057 2025-01-01T00:00:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1904 Construção de modelos de aprendizado de máquina para predição de tensão de ruptura de nanocompositos baseados em grafenos e derivados The development of nanocomposite materials through experimental studies for mechanical properties analysis is a costly activity, requiring considerable time and effort. Concurrently, advanced Machine Learning (ML) techniques have emerged as a promising alternative for efficiently generating information and predictions, also being used for predicting the mechanical properties of polymer nanocomposites based on graphene. Thus, the objective of this work was to develop an ML model for predicting the rupture stress of polymeric nanocomposites using graphene and derivatives as reinforcing materials. In this study, an independent database was created from academic literature, addressing studies on the rupture stress of polymeric nanocomposites using graphene and derivatives as reinforcing materials, and in parallel, chemoinformatics was employed, based on the unsupervised ML technique, Mol2vec, to generate information based on polymer structure. Consequently, a unique database was formed, and Auto-Sklearn was used to predict the rupture stress gain from the addition of graphene to polymeric nanocomposites. Auto-Sklearn, utilizing a pre-trained Mol2vec model with a dimension of 300, identified the Gaussian Process based regression model as the best-performing one, achieving an R² value of 0.769. This application demonstrated that unsupervised ML models efficiently provide information using molecular structures in conjunction with nanocomposites, extracting complementary information for the prediction of mechanical properties through ML models. This implementation emerges as an alternative to reduce the need for empirical data generation in mechanical property analysis, accelerating the evaluation process for nanocomposite compounds. Wed, 10 Jan 2024 00:00:00 GMT https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1904 2024-01-10T00:00:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1846 Projeto de uma estruturas metálica : análise estrutural, dimensionamento e detalhamento no PGL 3B no Porto de Suape This work aims to design a metal structure to improve access during maintenance activities at PGL 3B in the Port of Suape. Currently, the pier configuration presents logistical constraints that hinder the movement of trucks, essential for the maintenance of maritime fenders. The need for this improvement arises from the limited space available for maneuvering these vehicles, a crucial factor for the efficiency of port maintenance operations. As a solution, the development of an optimized metal structure is proposed, designed to facilitate the movement of the fenders more effectively. The design and sizing of this structure are based on precise calculations, adhering to the technical criteria established by the ABNT NBR 8800 standard. Additionally, the structural analysis will be complemented by simulations in Autodesk Inventor using the FEA (Finite Element Analysis) tool to validate the results obtained from the analytical calculations. Fri, 04 Apr 2025 00:00:00 GMT https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1846 2025-04-04T00:00:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1815 Estudo de caso de sistema fotovoltaico da avaliação financeira entre a normativa nº482/2012 da ANEEL com a atual Lei nº14300/22 The growing demand for clean and renewable energy has propelled the expansion of solar energy in Brazil, a country blessed with abundant sunlight. Resolution Normative No. 482/2012 from ANEEL played a crucial role in facilitating the generation of electricity from renewable sources such as solar and wind, on a small scale. However, to promote a more sustainable energy transition, the enactment of Law No. 14.300/2022 assumed a decisive role. This specific legislation established clear guidelines, optimizing the integration of photovoltaic systems and stimulating investments. This study sought to assess the financial viability of these regulations by comparing REN 482/2012 with Law 14.300/22. The analysis, conducted using metrics such as NPV, IRR, and Payback, revealed the economic viability of both. However, the initial panorama of REN 482 stood out, demonstrating a superior NPV, approximately R$2,094,862.88, and a faster return on investment, around 3.84 years. Additionally, a spreadsheet was developed simulating the costs and benefits of residential photovoltaic systems, considering the provisions of Law No. 14.300/22. This research highlights not only the importance of legislative evolution in solar energy but also the ongoing need to evaluate strategies for the economic viability of this renewable energy source, aiming for an energetically efficient and sustainable future for the country. Fri, 10 Jan 2025 00:00:00 GMT https://repositorio.ifpe.edu.br/xmlui/handle/123456789/1815 2025-01-10T00:00:00Z