A termografia aplicada à eficiência energética de equipamentos e processos em contexto industrial do tratamento de alumínios

A dissertação apresentada tem como objetivo primordial testar e validar as potencialidades da termografia na obtenção de dados para reduzir as perdas ou ganhos térmicos em equipamentos e processos, tornando-os mais eficientes. Realizada em estágio curricular, em ambiente empresarial, na empresa Ecoinside, tem como caso de estudo principal uma indústria de tratamento de alumínios. O processo e os equipamentos escolhidos para o estudo foram estudados e compreendidos. Nas imperfeições detetadas foram apontadas medidas corretivas simples e de fácil execução. Mostrou-se, ainda, algumas das poupanças energéticas concedidas por essas retificações. As capacidades da termografia foram testadas noutros ambientes, que não o industrial, pois um dos objectivos era perceber se a câmara termográfica é uma mais-valia a fornecer dados na realização de uma qualquer auditoria energética, confirmando-se que sim. Dá-se, ainda, a conhecer os princípios por detrás da termografia e um pouco da sua história. Ainda no passado, percebem-se as razões do surgimento das auditorias energéticas antes da presente preocupação ambiental e da eficiência energética.

Aplicação da filosofia Lean para melhoria do processo numa linha de produção da empresa IKEA

Devido à atual crise socioeconómica e consequente recessão dos mercados, as empresas precisam cada vez mais de melhorar os seus modelos de gestão e apostar na melhoria dos seus processos de forma a conseguirem produzir produtos de qualidade utilizando o menor custo de produção possível. O uso das ferramentas Lean Production e das ferramentas de Gestão da Qualidade permite às empresas reduzir, ou até mesmo eliminar alguns desperdícios. Desta forma é possível reduzir custos de produção e aumentar a produtividade. Neste contexto surge a presente dissertação, realizada na empresa IKEA Industry Portugal no âmbito do Mestrado em Engenharia Mecânica – Gestão Industrial, que tem como principal objetivo melhorar o processo produtivo de uma linha de produção da área EdgeBand & Drill, linha Biesse. No início deste projeto esta linha apresentava uma eficiência de 45,83%. Depois da descrição da empresa e do seu funcionamento, realizou-se um estudo sobre o estado atual do sistema produtivo da área de produção em estudo, Edgeband & Drill, mais concretamente da linha Biesse. Desse estudo resultou a identificação de alguns problemas da linha, nomeadamente a baixa eficiência, elevados tempos de paragem da linha, elevada quantidade de peças com defeitos, elevados custos associados a peças sucata, falta de polivalência dos operadores, desperdícios de matérias primas e falta de organização e limpeza da área. Depois de identificados os problemas foram apresentadas algumas propostas de melhoria para o processo produtivo da linha Biesse. Nesta fase foram utilizadas algumas ferramentas Lean e de Gestão da Qualidade. No fim do projeto obteve-se uma redução de 1,26% dos tempos de paragem, uma redução de 1317 peças com defeito e uma poupança de 1147,44€ em peças sucata. Estes valores contribuíram para uma melhoria da eficiência global em cerca de 1,06% para a área EdgeBand & Drill e uma melhoria de 3,11% para a linha em estudo, linha Biesse.

Deteção e previsão de falhas em equipamentos de produção industrial

As empresas nacionais deparam-se com a necessidade de responder ao mercado com uma grande variedade de produtos, pequenas séries e prazos de entrega reduzidos. A competitividade das empresas num mercado global depende assim da sua eficiência, da sua flexibilidade, da qualidade dos seus produtos e de custos reduzidos. Para se atingirem estes objetivos é necessário desenvolverem-se estratégias e planos de ação que envolvem os equipamentos produtivos, incluindo: a criação de novos equipamentos complexos e mais fiáveis, alteração dos equipamentos existentes modernizando-os de forma a responderem às necessidades atuais e a aumentar a sua disponibilidade e produtividade; e implementação de políticas de manutenção mais assertiva e focada no objetivo de “zero avarias”, como é o caso da manutenção preditiva. Neste contexto, o objetivo principal deste trabalho consiste na previsão do instante temporal ótimo da manutenção de um equipamento industrial – um refinador da fábrica de Mangualde da empresa Sonae Industria, que se encontra em funcionamento contínuo 24 horas por dia, 365 dias por ano. Para o efeito são utilizadas medidas de sensores que monitorizam continuamente o estado do refinador. A principal operação de manutenção deste equipamento é a substituição de dois discos metálicos do seu principal componente – o desfibrador. Consequentemente, o sensor do refinador analisado com maior detalhe é o sensor que mede a distância entre os dois discos do desfibrador. Os modelos ARIMA consistem numa abordagem estatística avançada para previsão de séries temporais. Baseados na descrição da autocorrelação dos dados, estes modelos descrevem uma série temporal como função dos seus valores passados. Neste trabalho, a metodologia ARIMA é utilizada para determinar um modelo que efetua uma previsão dos valores futuros do sensor que mede a distância entre os dois discos do desfibrador, determinando-se assim o momento ótimo da sua substituição e evitando paragens forçadas de produção por ocorrência de uma falha por desgaste dos discos. Os resultados obtidos neste trabalho constituem uma contribuição científica importante para a área da manutenção preditiva e deteção de falhas em equipamentos industriais.

Defining risk acceptance criteria in occupational settings: A case study in the furniture industrial sector

The use of appropriate acceptance criteria in the risk assessment process for occupational accidents is an important issue but often overlooked in the literature, particularly when new risk assessment methods are proposed and discussed. In most cases, there is no information on how or by whom they were defined, or even how companies can adapt them to their own circumstances. Bearing this in mind, this study analysed the problem of the definition of risk acceptance criteria for occupational settings, defining the quantitative acceptance criteria for the specific case study of the Portuguese furniture industrial sector. The key steps to be considered in formulating acceptance criteria were analysed in the literature review. By applying the identified steps, the acceptance criteria for the furniture industrial sector were then defined. The Cumulative Distribution Function (CDF) for the injury statistics of the industrial sector was identified as the maximum tolerable risk level. The acceptable threshold was defined by adjusting the CDF to the Occupational, Safety & Health (OSH) practitioners’ risk acceptance judgement. Adjustments of acceptance criteria to the companies’ safety cultures were exemplified by adjusting the Burr distribution parameters. An example of a risk matrix was also used to demonstrate the integration of the defined acceptance criteria into a risk metric. This work has provided substantial contributions to the issue of acceptance criteria for occupational accidents, which may be useful in overcoming the practical difficulties faced by authorities, companies and experts.

Aplicação da Abordagem Kaizen Lean no Departamento de Logística no HGSA

O presente relatório de Dissertação surge no âmbito da unidade curricular Dissertação/Projeto/Estágio do 2º ano do Mestrado em Engenharia Mecânica – Ramo Gestão Industrial do Instituto Superior de Engenharia do Porto. O objetivo principal do projeto foi a aplicação das metodologias Kaizen-Lean no departamento de logística do Hospital Geral de Santo António, tendo em vista a melhoria contínua nestas duas áreas distintas: - gestão do produto farmacêutico, desde que é identificada a sua necessidade no armazém central até à reposição pelo fornecedor e respetiva distribuição e entrega nos serviços clínicos utilizadores. Aqui estão também incluídos os processos de negociação e encomenda. - gestão do serviço de transportes incluindo os transportes de doentes, produtos e profissionais de saúde. Este projeto surgiu no seguimento de projetos anteriores desenvolvidos pelo Kaizen Institute Portugal, empresa de consultoria de melhoria contínua, no Centro Hospitalar do Porto – Hospital Geral de Santo António. Durante o trabalho recorreu-se à aplicação de ferramentas Kaizen Lean nomeadamente metodologias e ferramentas associadas ao TFM – Total Flow Management e ao TSM – Total Service Management, ferramentas estas integradas no Kaizen Management System. De salientar também a aplicação do Kaizen Change Management, com uma componente muito forte de aplicação do Kaizen Diário. O resultado final da aplicação destas ferramentas resultou na concretização dos objectivos traçados que foram propostos. Tais como o desenvolvimento de uma cultura de melhoria contínua nas equipas de trabalho, organização dos postos de trabalho e redução dos stocks nos produtos farmacêuticos do Armazém de Produtos Farmacêuticos (APF).

Quantity-setting competition under uncertain demand

We consider a quantity-setting duopoly model, and we study the decision to move first or second, by assuming that. the firms produce homogeneous goods and that. there is some demand uncertainty. The competitive phase consists of two periods, and in either period, the firms can make a production decision that is irreversible. As far as the firms are allowed to choose (non-cooperatively) the period they make the decision, we study the circumstances that favour sequential rather than simultaneous decisions.

Development of Biomimetic Robots in the EPS Engineering Programme Capstone Project

This paper proposes the development of biologically inspired robots as the capstone project of the European Project Semester (EPS) framework. EPS is a one semester student centred international programme offered by a group of European engineering schools (EPS Providers) as part of their student exchange programme portfolio. EPS is organized around a central module (the EPS project) and a set of complementary supportive modules. Project proposals refer to open multidisciplinary real world problems. Its purpose is to expose students to problems of a greater dimension and complexity than those faced throughout the degree programme as well as to put them in contact with the socalled real world, in opposition to the academic world. Students are organized in teams, grouping individuals from diverse academic backgrounds and nationalities, and each team is fully responsible for conducting its project. EPS provides an integrated framework for undertaking capstone projects, which is focused on multicultural and multidisciplinary teamwork, communication, problem-solving, creativity, leadership, entrepreneurship, ethical reasoning and global contextual analysis. The design and development of biologically inspired robots allows the students to fulfil the previously described requirements and objectives and, as a result, we recommend the adoption of these projects within the EPS project capstone module for the benefit of engineering students.

Development of Biomimetic Robots in the EPS Engineering Programme Capstone Project

This paper presents the development of a fish-like robot called Bro-Fish. Bro-Fish aims to be an educational toy dedicated to teaching mechanics, programming and the physics of floating objects to youngsters. The underlying intention is to awaken the interest of children for technology, especially biomimetic (biologically inspired) approaches, in order to promote sustainability and raise the level of ecological awareness. The main focus of this project was to create a robot with carangiform locomotion and controllable swimming, providing the opportunity to customize parts and experiment with the physics of floating objects. Therefore, the locomotion principles of fishes and mechanisms developed in related projects were analysed. Inspired by this background knowledge, a prototype was designed and implemented. The main achievement is the new tail mechanism that propels the robot. The tail resembles the undulation motion of fish bodies and is actuated in an innovative way, triggered by an elegant movement of a rotating helicoidal. First experimental tests revealed the potential of the proposed methodology to effectively generate forward propulsion.

The CONCERTO methodology for model-based development of avionics SW

20th International Conference on Reliable Software Technologies - Ada-Europe 2015 (Ada-Europe 2015), 22 to 26, Jun, 2015, Madrid, Spain.

Power Law Behavior and Self-similarity in Modern Industrial Accidents

Advances in technology have produced more and more intricate industrial systems, such as nuclear power plants, chemical centers and petroleum platforms. Such complex plants exhibit multiple interactions among smaller units and human operators, rising potentially disastrous failure, which can propagate across subsystem boundaries. This paper analyzes industrial accident data-series in the perspective of statistical physics and dynamical systems. Global data is collected from the Emergency Events Database (EM-DAT) during the time period from year 1903 up to 2012. The statistical distributions of the number of fatalities caused by industrial accidents reveal Power Law (PL) behavior. We analyze the evolution of the PL parameters over time and observe a remarkable increment in the PL exponent during the last years. PL behavior allows prediction by extrapolation over a wide range of scales. In a complementary line of thought, we compare the data using appropriate indices and use different visualization techniques to correlate and to extract relationships among industrial accident events. This study contributes to better understand the complexity of modern industrial accidents and their ruling principles.

Entropy Analysis of Industrial Accident Data Series

Complex industrial plants exhibit multiple interactions among smaller parts and with human operators. Failure in one part can propagate across subsystem boundaries causing a serious disaster. This paper analyzes the industrial accident data series in the perspective of dynamical systems. First, we process real world data and show that the statistics of the number of fatalities reveal features that are well described by power law (PL) distributions. For early years, the data reveal double PL behavior, while, for more recent time periods, a single PL fits better into the experimental data. Second, we analyze the entropy of the data series statistics over time. Third, we use the Kullback–Leibler divergence to compare the empirical data and multidimensional scaling (MDS) techniques for data analysis and visualization. Entropy-based analysis is adopted to assess complexity, having the advantage of yielding a single parameter to express relationships between the data. The classical and the generalized (fractional) entropy and Kullback–Leibler divergence are used. The generalized measures allow a clear identification of patterns embedded in the data.

Introducing numerical analysis tools in engineering: a Scilab user case in electronics course

Software tools in education became popular since the widespread of personal computers. Engineering courses lead the way in this development and these tools became almost a standard. Engineering graduates are familiar with numerical analysis tools but also with simulators (e.g. electronic circuits), computer assisted design tools and others, depending on the degree. One of the main problems with these tools is when and how to start use them so that they can be beneficial to students and not mere substitutes for potentially difficult calculations or design. In this paper a software tool to be used by first year students in electronics/electricity courses is presented. The growing acknowledgement and acceptance of open source software lead to the choice of an open source software tool – Scilab, which is a numerical analysis tool – to develop a toolbox. The toolbox was developed to be used as standalone or integrated in an e-learning platform. The e-learning platform used was Moodle. The first approach was to assess the mathematical skills necessary to solve all the problems related to electronics and electricity courses. Analysing the existing circuit simulators software tools, it is clear that even though they are very helpful by showing the end result they are not so effective in the process of the students studying and self learning since they show results but not intermediate steps which are crucial in problems that involve derivatives or integrals. Also, they are not very effective in obtaining graphical results that could be used to elaborate reports and for an overall better comprehension of the results. The developed tool was based on the numerical analysis software Scilab and is a toolbox that gives their users the opportunity to obtain the end results of a circuit analysis but also the expressions obtained when derivative and integrals calculations, plot signals, obtain vector diagrams, etc. The toolbox runs entirely in the Moodle web platform and provides the same results as the standalone application. The students can use the toolbox through the web platform (in computers where they don't have installation privileges) or in their personal computers by installing both the Scilab software and the toolbox. This approach was designed for first year students from all engineering degrees that have electronics/electricity courses in their curricula.

A learning environment for robotic production line simulation

This paper presents a framework for a robotic production line simulation learning environment using Autonomous Ground Vehicles (AGV). An eLearning platform is used as interface with the simulator. The objective is to introduce students to the production robotics area using a familiar tool, an eLearning platform, and a framework that simulates a production line using AGVs. This framework allows students to learn about robotics but also about several areas of industrial management engineering without requiring an extensive prior knowledge on the robotics area. The robotic production line simulation learning environment simulates a production environment using AGVs to transport materials to and from the production line. The simulator allows students to validate the AGV dynamics and provides information about the whole materials supplying system which includes: supply times, route optimization and inventory management. The students are required to address several topics such as: sensors, actuators, controllers and an high level management and optimization software. This simulator was developed with a known open source tool from robotics community: Player/Stage. This tool was extended with several add-ons so that students can be able to interact with a complex simulation environment. These add-ons include an abstraction communication layer that performs events provided by the database server which is programmed by the students. An eLearning platform is used as interface between the students and the simulator. The students can visualize the effects of their instructions/programming in the simulator that they can access via the eLearning platform. The proposed framework aims to allow students from different backgrounds to fully experience robotics in practice by suppressing the huge gap between theory and practice that exists in robotics. Using an eLearning platform eliminates installation problems that can occur from different computers software distribution and makes the simulator accessible by all students at school and at home.