154 resultados para Manipulators
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Pós-graduação em Medicina Veterinária - FMVZ
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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No Estado do Pará, o beneficiamento do caranguejo-uçá ocorre de forma totalmente artesanal, sendo o seu produto frequentemente associado a eventos de intoxicação alimentar. Neste trabalho o autor tem por finalidade propor adequações tecnológicas no processamento deste crustáceo desenvolvido na comunidade de Caratateua, município de Bragança/Pará. Foram realizadas excursões mensais à comunidade de abril/2008 a maio/2009 com aplicação de 120 entrevistas direcionadas aos principais atores sociais envolvidos na atividade, constando de aspectos econômicos, sociais e tecnológicos, além de análises laboratoriais (composição química e microbiologia), observações de campo e revisão de literatura. Constatou-se que a quantidade de caranguejo desembarcada e o tamanho médio dos indivíduos vêm diminuindo nos últimos anos. A captura é realizada exclusivamente por indivíduos do sexo masculino, sendo o gancho o principal apetrecho utilizado. O beneficiamento é praticado principalmente por mulheres e crianças, porém homens eventualmente também o fazem. Não há uma padronização do processamento e as condições higiênico-sanitárias dos locais de beneficiamento são na grande maioria das vezes inadequadas, podendo este ser realizado no interior da residência, em “puxadinhas” ou nos quintais, geralmente na presença de animais domésticos, insetos e sem a adequada assepsia de manipuladores, equipamentos e superfícies de contato. Desta forma, conclui-se que tal realidade é ocasionada principalmente pelo desordenamento da pescaria e falta de preocupação dos catadores quanto à qualidade do produto, sendo de fundamental importância a criação de uma legislação específica para a carne de caranguejo e a adoção de boas práticas de fabricação levando em consideração a realidade local visando agregação de valor ao produto e maior segurança alimentar aos consumidores.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Nos últimos anos tem surgido vários métodos para se estudar sistemas multicorpos. A vantagem destes métodos é a obtenção das equações do movimento de forma mais fácil e precisa. Robôs, manipuladores, mecanismos, satélites, máquinas em geral e sistemas biomcânicos, pelas suas características, podem ser vantajosamente tratados por formalismo multicorpo, mas precisamente, o método de Kane a um modelo do corpo humano, com a finalidade de se determinar a pressão intradiscal entre as vértebras L4/L5 da coluna lombar, em algumas atividades normais de vida diária, como: sentar, abaixar, pegar e elevar cargas, realizar movimentos de flexão e extensão. Pretendeu-se, também obter os esforços internos nas diversas articulações deste modelo. A pressão intradiscal representa um parâmetro importante para caracterizar a sobrecarga na coluna, podendo ter relação com a degeneração do disco intervertebral, o que produz muita dor em indivíduos. Inicialmente, o modelo foi proposto e o método de Kane foi aplicado para se obter as equações do movimento. Para resolvê-las, foi necessário realiza a filmagem de um sujeito realizando as atividades citadas, a fim de se obter as equações das trajetórias dos diversos segmentos do corpo humano. Após a simulação, os parâmetros desejados foram obtidos e comparados com valores experimentais citados na literatura.
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Staphylococcus is one of the more important causes of the called Foodborne Disease(FD), being that from the 40 species described from genus, the more important is Staphylococcus aureus. During years believed that the S. aureus was the only specie from genus able to produce enterotoxins, responsable for the clinical frame in humans, but latest studies report the isolation of other species both positive coagulase (PC) as negative with enterotoxigenic potential. The symptoms of this intoxication appear after a short period of incubation (2-6 hours) and usually characterized by nausea, vomits, abdominal ache, diarrhea, and rarely is fatal. For the toxin to be formed in food is necessary that bacteria population to be at least 105 UFC/g, being that such toxins characterized by presenting great resistance front of gastrointestinal proteases and of homemade termical treatment. Among the main foods that might carry the microorganism, the milk and its derivatives have highlights. The contamination of the product might happen as from the milk from cows with clinical and/or subclinical mastitis, as the Staphylococcus genus is one of the main agents etiologic from this disease, equipments utensils badly sanitized equipments and utensils and from the manipulators. The control of these factors configures as fundamental condition for the achievement of a safe, quality product, which doesn’t offer risk to the consumers
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Automated Production Systems Development involves aspects concerning the integration of technological components that exist on the market, such as: Programmable Logic Controllers (PLC), robot manipulators, various sensors and actuators, image processing systems, communication networks and collaborative supervisory systems; all integrated into a single application. This paper proposes an automated platform for experimentation, implemented through typical architecture for Automated Production Systems, which integrates the technological components described above, in order to allow researchers and students to carry out practical laboratory activities. These activities will complement the theoretical knowledge acquired by the students in the classroom, thus improving their training and professional skills. A platform designed using this generic structure will allow users to work within an educational environment that reflects most aspects found in Industrial Automated Manufacturing Systems, such as technology integration, communication networks, process control and production management. In addition, this platform offers the possibility complete automated process of control and supervision via remote connection through the internet (WebLab), enabling knowledge sharing between different teaching and research groups.
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Pós-graduação em Engenharia Elétrica - FEIS
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In the collective imaginaries a robot is a human like machine as any androids in science fiction. However the type of robots that you will encounter most frequently are machinery that do work that is too dangerous, boring or onerous. Most of the robots in the world are of this type. They can be found in auto, medical, manufacturing and space industries. Therefore a robot is a system that contains sensors, control systems, manipulators, power supplies and software all working together to perform a task. The development and use of such a system is an active area of research and one of the main problems is the development of interaction skills with the surrounding environment, which include the ability to grasp objects. To perform this task the robot needs to sense the environment and acquire the object informations, physical attributes that may influence a grasp. Humans can solve this grasping problem easily due to their past experiences, that is why many researchers are approaching it from a machine learning perspective finding grasp of an object using information of already known objects. But humans can select the best grasp amongst a vast repertoire not only considering the physical attributes of the object to grasp but even to obtain a certain effect. This is why in our case the study in the area of robot manipulation is focused on grasping and integrating symbolic tasks with data gained through sensors. The learning model is based on Bayesian Network to encode the statistical dependencies between the data collected by the sensors and the symbolic task. This data representation has several advantages. It allows to take into account the uncertainty of the real world, allowing to deal with sensor noise, encodes notion of causality and provides an unified network for learning. Since the network is actually implemented and based on the human expert knowledge, it is very interesting to implement an automated method to learn the structure as in the future more tasks and object features can be introduced and a complex network design based only on human expert knowledge can become unreliable. Since structure learning algorithms presents some weaknesses, the goal of this thesis is to analyze real data used in the network modeled by the human expert, implement a feasible structure learning approach and compare the results with the network designed by the expert in order to possibly enhance it.
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The 3-UPU three degrees of freedom fully parallel manipulator, where U and P are for universal and prismatic pair respectively, is a very well known manipulator that can provide the platform with three degrees of freedom of pure translation, pure rotation or mixed translation and rotation with respect to the base, according to the relative directions of the revolute pair axes (each universal pair comprises two revolute pairs with intersecting and perpendicular axes). In particular, pure translational parallel 3-UPU manipulators (3-UPU TPMs) received great attention. Many studies have been reported in the literature on singularities, workspace, and joint clearance influence on the platform accuracy of this manipulator. However, much work has still to be done to reveal all the features this topology can offer to the designer when different architecture, i.e. different geometry are considered. Therefore, this dissertation will focus on this type of the 3-UPU manipulators. The first part of the dissertation presents six new architectures of the 3-UPU TPMs which offer interesting features to the designer. In the second part, a procedure is presented which is based on some indexes, in order to allows the designer to select the best architecture of the 3-UPU TPMs for a given task. Four indexes are proposed as stiffness, clearance, singularity and size of the manipulator in order to apply the procedure.
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The study presented in this work deals with the investigation of the effects produced by two common techniques of static balancing on the dynamic performances of closed-chain linkages, taking into account the compliance of the mechanism components. The long-term goal of the research consists in determining an optimal balancing strategy for parallel spatial manipulators. The present contribution is a starting point and it focuses on the planar four-bar linkage, intended as the simplest example of closed-chain mechanism. The elastodynamic behaviour of an unbalanced four-bar linkage and two balanced ones, respectively obtained by mass and elastic balancing, is investigated by means of both numerical simulations and experimental tests. The purpose of this work is to obtain preliminary results, to be refined and broadened in future developments
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In the past two decades the work of a growing portion of researchers in robotics focused on a particular group of machines, belonging to the family of parallel manipulators: the cable robots. Although these robots share several theoretical elements with the better known parallel robots, they still present completely (or partly) unsolved issues. In particular, the study of their kinematic, already a difficult subject for conventional parallel manipulators, is further complicated by the non-linear nature of cables, which can exert only efforts of pure traction. The work presented in this thesis therefore focuses on the study of the kinematics of these robots and on the development of numerical techniques able to address some of the problems related to it. Most of the work is focused on the development of an interval-analysis based procedure for the solution of the direct geometric problem of a generic cable manipulator. This technique, as well as allowing for a rapid solution of the problem, also guarantees the results obtained against rounding and elimination errors and can take into account any uncertainties in the model of the problem. The developed code has been tested with the help of a small manipulator whose realization is described in this dissertation together with the auxiliary work done during its design and simulation phases.
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Laser Welding (LW) is more often used in manufacturing due to its advantages, such as accurate control, good repeatability, less heat input, opportunities for joining of special materials, high speed, capability to join small dimension parts etc. LW is dedicated to robotized manufacturing, and the fabrication cells are using various level of flexibility, from specialized robots to very flexible setups. This paper features several LW applications using two industrially-scaled manufacturing cells at UPM Laser Centre (CLUPM) of Polytechnical University of Madrid (Universidad Politécnica de Madrid). The one dedicated to Remote Laser Welding (RLW) of thin sheets for automotive and other sectors uses a CO2 laser of 3500 W. The second has a high flexibility, is based on a 6-axis ABB robot and a Nd:YAG laser of 3300 W, and is meant for various laser processing methods, including welding. After a short description of each cell, several LW applications experimented at CLUPM and recently implemented in industry are briefly presented: RLW of automotive coated sheets, LW of high strength automotive sheets, LW vs. laser hybrid welding (LHW) of Double Phase steel thin sheets, and LHW of thin sheets of stainless steel and carbon steel (dissimilar joints). The main technological issues overcame and the critical process parameters are pointed out. Conclusions about achievements and trends are provided.