Navegando por Autor "Fialho, Michaella Socorro Bruce"

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Análise comparativa das propriedades mecânicas de diferentes parafusos automotivos classe 10.9
(2022-12-15) Nascimento, Thiago Pedrosa do; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Castro, Cristovão Américo Ferreira de; http://lattes.cnpq.br/4930257608461492; Castro, Cristovão Américo Ferreira de; http://lattes.cnpq.br/4930257608461492; Barros, Rodson de Oliveira; http://lattes.cnpq.br/9424687587691792; Pinto, Camila da Costa; http://lattes.cnpq.br/5909706356694272
Bolts are the most used fasteners in the metalworking industry. There are an infinite variety of suppliers and manufacturers due to large applicability. Thus, quality control is important to ensure its mechanical properties in accordance with standards. So, the aim of this study was to compare randomly obtained generic bolts and standard bolts against established quality assurance standards. With regard to the tensile mechanical properties, the results showed that a standardized screw has a maximum resistance stress of 1137.39 ± 18.2 MPa, a lower value than that of a generic screw of 1164.00 MPa ± 32.42. However, the elongation of standardized screws was approximately 14%, a value higher than that of generic screws, around 10%. The Rockwell hardness results (HRC) confirmed that both bolts undergo a tempering and tempering heat treatment, as well observed on the microstructure. And finally, the elemental analysis of the percentage of Carbon-Sulfur showed that both bolts had values within the specified range. In general, there was no discrepancy in the values obtained, inferring, therefore, that although the generic bolts are cheaper, it also has similar properties to standardized bolts.
Detecção de anomalias médicas no pulmão usando técnicas de inteligência artificial
(2023-12-22) Silva, Rafael Reinaldo; Santos, Alyson de Jesus dos; Alyson de Jesus dos Santos; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Lucélia Cunha da Rocha; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Silva
Artificial Intelligence (AI) is not a contemporary concept, and its presence is not alien to society; currently, numerous applications employ this knowledge. However, despite the growing incorporation of technology in various contexts and increasingly in everyday life, a significant portion of the population still views technological intervention with reservations. In the medical field, it is no different; there is concern about the replacement of healthcare professionals by intelligent machines. Those who think so are mistaken; currently, AI is already involved in various aspects, such as disease prognosis, image understanding, interconnection of prescription databases, among others, and yet there is still a need for human presence. However, such advances do not spread uniformly; there will still be many gaps in the democratization of the application of this resource, whether due to a lack of technology, training, or even distances. In the latter case, it is more common in Brazil, which has continental extensions. According to the World Health Organization (WHO), in the last decade, two of the four leading causes of death in the world are related to respiratory diseases. In Brazil, according to the Ministry of Health, in the first nine months of 2022, there were more than 40,000 deaths from pneumonia alone. This work aims to compare machine learning algorithm models to present the pros and cons of each. Neural networks were used to check a dataset of images for training, validation, and testing of models with the purpose of recognizing and diagnosing cases of pneumonia through only X-ray examinations.
Otimização do processo de empacotamento de embalagens em uma indústria de produtos químicos
(2023-12-20) Eleutério, Wanessa De Castro; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Rosa, Roberto Canedo; http://lattes.cnpq.br/7329484141351121; Plácido, Marisol Elias de Barros; http://lattes.cnpq.br/1902514007423220
The research addresses the inefficiency of the machine responsible for assembling packaging boxes for adhesive products, representing a significant challenge in the production of a chemical products company. The analysis revealed that this operational failure negatively impacted the efficiency of the production line, necessitating manual packaging and increasing the time required to complete the task. This inefficiency not only compromised the operation but also resulted in a reduction in production capacity, an increased risk of human errors in manual packaging, and potential damage to products. The need to reallocate labor for manual packaging generated additional costs for the company. In this scenario, it became imperative to address and resolve the problem to optimize the efficiency of the production process. The implementation of improvements in the packaging box assembly machine became a strategic priority to minimize negative impacts on production. To effectively deal with inefficiencies, the company applied the PDCA (Plan, Do, Check, Act) method, a recognized tool for improvement management. The improvement team conducted a detailed data collection using the 5W1H tool to fully understand the problem. An initial countermeasure was adopted, adding an operator for manual box assembly while seeking a more comprehensive solution. The Ishikawa Diagram was used to map possible causes of inefficiency, including materials, processes, equipment, labor, and the environment. The Five Whys technique was applied to identify underlying root causes. Based on the identified causes, an action plan was developed, highlighting two crucial actions. A control plan was established to prevent recurrences of the problem.The results demonstrated significant improvements in the assembly process, allowing for the strategic reallocation of operators and increasing overall efficiency. The project's success underscores the effectiveness of quality tools in resolving operational challenges and emphasizes the importance of integrating quality practices into continuous improvement projects for operational excellence.
Padronização do planejamento e controle de manutenção através do pilar de manutenção profissional pertencente a metodologia WCM em uma empresa da linha branca do polo industrial de Manaus - AM
(2024-08-22) Pereira, Wander Sousa; Pinto, Camila Costa; Maciel, Paulo Fernando Figueiredo; Fialho, Michaella Socorro Bruce; Oliveira Neto, Benjamim Batista de
In today's globalized scenario, pursuing excellence in maintenance management is crucial for companies to maintain their competitiveness in the international market. With the advent of Industry 4.0, the concept of World Class Manufacturing (WCM) emerges, focusing on waste elimination and continuous improvement in efficiency through technical and managerial pillars. In this context, Maintenance Planning and Control (PCM) plays a crucial role in developing plans and policies to ensure the effectiveness of maintenance processes. This article underscores the importance of PCM as an essential facilitator to achieve and maintain the excellence standards required by WCM through the implementation project of the Professional Maintenance Pillar in a white goods industry located in the industrial hub of Manaus, Brazil. As a result of restructuring efforts, including the establishment of indicators, improved data control, and enhanced service efficiency, there was a significant reduction in lost products from 39,903 units in 2020 to 20,962 units in 2021, along with a decrease in equipment downtime from 1.63% to 0.73%.
Projeto conceitual de um tachão sinalizador para tubulações de gás em áreas urbanas
(2024-12-09) Pereira, José Carlos Gomes; Nascimento, David Rychard Pesqueira do; Pessoa, Everton Hipólito; Rosa, Roberto Canedo; Fialho, Michaella Socorro Bruce
Projeto de uma máquina alimentadora de tarugos
(2022-08-20) Costa, Eduardo de Souza; Maciel, Paulo Fernando Figueiredo; Fialho, Michaella Socorro Bruce
This work presents the development of a project for an Automatic Aluminum Billet Feeding Machine, designed to meet the demands of the aluminum profile extrusion industry. The objective is to provide an automated and reliable solution for the supply of aluminum billets, aiming to improve the productivity and competitiveness of companies in the sector in a sustainable manner. The methodology is divided into three main stages: mechanical design, electrical design, and ladder programming. In the mechanical design phase, the physical elements of the machine are dimensioned, ensuring its robustness and operational efficiency. In the electrical design phase, the necessary electrical components are dimensioned and selected, taking into account safety standards and performance requirements. Finally, in the ladder programming phase, the machine control software is developed, responsible for coordinating its operations. The described methods enable the design of a machine capable of meeting the project requirements efficiently and sustainably.
Proposta de um módulo didático para a prática de programação de CLP
(2023-09-07) Leite, Denner Edson da Cruz; Neves, Cleonor Crescêncio das Neves; Palheta , Pedro Ivan das Graças; http://lattes.cnpq.br/1581213571653545; Palheta, Pedro Ivan das Graças; http://lattes.cnpq.br/1581213571653545; Neves, Cleonor Crescêncio das; http://lattes.cnpq.br/2176855362313017; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Veloso, Hugo Alves
Nowadays, automation is a vital necessity, but we have managed to increase production in different systems, optimize time and resources, and have invested extensively in our industrial sector. Among the various devices used in the area of industrial automation, it is necessary to use the Logic Programming Controller (PLC) and use the ladder programming language, respectively, in relation to your custom and object. In this context, the job market naturally requires professional skills and qualifications for programming and operation. Therefore, he took a look at universities, institutions that trained him professionally. In agreement with the information released by INEP, our children are related to Accumulative Education Taxes (TDA) and Permanent Education Taxes (TAP) at the federal, state and municipal levels, a reflection, among other factors, of the high complexity of engineering courses, and remittance for this it is necessary to dream about the learning methods adopted by the formation of births. Without academic training, students find it difficult to learn how to program this equipment, there is little access to modules for laboratory practice or the unavailability of practical university courses. Thus, we understand that technical training must be linked to classroom theory, highlighting laboratory practice, using didactic modules, as a tool to facilitate learning, focusing on practical skills implemented by the job market. To begin with, this work aims to present a proposal for a portable teaching module for PLC programming practice, using the ladder language. It is believed that this prototype is a significant contribution to the engineering area in our specific disciplines of programming and training of future professionals in the Control and Automation Engineering course, so that they are trained, qualified and suitable for the job market, and to engineering professionals.
Um sistema a prova de erros operacionais, aplicação do método POKA YOKE em uma ferramenta de fixação eletrônica
(2023-12-27) Pessoa, Everton Hipólito; Oliveira Neto, Benjamin Batista de; http://lattes.cnpq.br/0355646329266825; Oliveira Neto, Benjamin Batista de; http://lattes.cnpq.br/0355646329266825; Mattos, Marcus Renato Pinheiro; http://lattes.cnpq.br/2890713359271807; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505
This study examined the application of the Poka Yoke method in new fastening technologies within industrial manufacturing operations. The system was designed to be error-proof (Poka Yoke). The integration with smart electronic tool technology aimed not only to optimize the fastening process but also to ensure the correct execution of activities within the process. To achieve this, the Poka Yoke technique was applied in stages, also known as "Step Motion," to separate operations into stages and prevent errors in the fastening sequence. The development of error-proof operational systems proved to be a viable solution for achieving total quality in manufacturing processes, contributing to increased productivity in industrial processes by minimizing human errors and enhancing the efficiency and quality of products.
Sistema para cultivo de plantas utilizando princípios de Internet das coisas
(2023-05-24) Jati, Janderson Mike do Nascimento; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143
In this work, a system will be developed using Internet of Things principles for better care of local plants. The system will act when it identifies the need to change the physical state of the plant, maintaining a stable environment for its growth. System programming will be performed in the Arduino IDE, with the addition of some libraries for a more stable and complete functioning of the components. In this system, sensors and actuators will be used and it will be possible to monitor the temperature and humidity values that will be transmitted via the MQTT communication protocol to a mobile application.
Uso de uma rede neural convolucional para detecção de covid-19 automática através de imagens de Raio-x
(2023-12-22) Cavalcante, Vinícius Loureiro; Santos, Alyson de Jesus dos Santos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Lucèlia Cunha da Rocha; http://lattes.cnpq.br/2242046166554146; Fialho, Michaella Socorro Bruce; http://lattes.cnpq.br/9348859124436505
This study aims to evaluate the effectiveness of using neural networks in the detection of COVID-19 through chest X-rays. Based on a literature review, the methodology for building the neural network will be defined, and it will be trained with data collected from reliable sources and analyzed to evaluate the accuracy of detection. The use of neural networks can be a promising and non-invasive alternative for the diagnosis of COVID-19, especially in regions where PCR tests are scarce or time-consuming. Additionally, the use of neural networks may offer advantages over other forms of diagnosis, such as computed tomography (CT), as chest radiographs are more widely available and less costly. However, it is important to consider the limitations and challenges encountered in using neural networks for this purpose, such as the lack of specificity in mild or asymptomatic cases and the need for quality equipment and trained professionals to interpret the images. This study aims to contribute to the advancement of COVID-19 diagnosis through non-invasive and effective methods, as well as to identify possible limitations and challenges in using neural networks for this purpose.