300 resultados para Método de aplicação
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The representation of real objects in virtual environments has applications in many areas, such as cartography, mixed reality and reverse engineering. The generation of these objects can be performed in two ways: manually, with CAD (Computer Aided Design) tools, or automatically, by means of surface reconstruction techniques. The simpler the 3D model, the easier it is to process and store it. Multiresolution reconstruction methods can generate polygonal meshes in different levels of detail and, to improve the response time of a computer program, distant objects can be represented with few details, while more detailed models are used in closer objects. This work presents a new approach to multiresolution surface reconstruction, particularly interesting to noisy and low definition data, for example, point clouds captured with Kinect sensor
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The geophysical methods are used as tools that, together with other data, assist in target detail and sizing of ore bodies. This paper presents the results of the application of DC resistivity geophysical method on a manganese mineral occurrence located in Itapira, in the northern portion of São Paulo state, hosted predominantly in schists and quartzits of Itapira Group. The integration of geophysical data resulted in the elaboration of electrical resistivity models, where it was possible observe that the mineralized body, composed predominantly of manganese oxides and hydroxides, has a pattern of high resistivity (above 5000 Ω.m) both surface and subsurface. The contrast with the host rock is characterized mainly by different minerals assemblages and by the presence of local groundwater. The results accomplished in this paper reveal that the application of DC resistivity method is valid in primary evaluations of supergene deposits
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This thesis aims to analyze the applicability of Lean Six Sigma and DMAIC to improve processes focused on agriculture. We discuss the origins of each system separately, Lean Manufacturing, the Toyota plants in Japan, and Six Sigma, by Motorola in the U.S., and then appears to merge them and can meet their complementarities and synergy between their tools. Finally, we describe a case study focused on the harvesting department, applicable to all types of manuals crops, covering the production of fruits, vegetables and greens. This study shows the ability to reduce costs, increase productivity and elimination of defects that the methodology developed with the fusion of Lean Manufacturing with Six Sigma allows
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In the last years, the maintenance took an essential role inside the productive system. Plan and manage the maintenance actions in an efficient way, are vital activities for higher production availability. This paper presents an application of a Multicriteria Decision Analysis method in a chemical industry, willing to priories a plan action for the reduction of the maintenance cost. The method used was the PROMETHEE II, with it the results were obtained through the softwares Microsoft Excel and Decision Lab
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Polímeros são macromoléculas de alta massa molecular cada vez mais presentes nas atividades humanas. Estas moléculas são utilizadas com frequência para sintetizar plásticos, elastômeros e fibras. Os polímeros podem ser divididos em naturais e sintéticos. Os polímeros de origem natural são aqueles encontrados na natureza, como por exemplo: celulose, hemicelulose, glicogênio, proteínas, amido, lignina, entre outros. Os polímeros sintéticos são aqueles produzidos pela síntese química induzida pelo ser humano, como os diferentes tipos de plásticos. Contudo, alguns destes materiais sintéticos possuem alta durabilidade acarretando grande acúmulo de resíduos que contaminam o meio ambiente. O poliacrilato de sódio (PAS) é uma destas moléculas sintéticas que funciona como superabsorvente utilizado em grande escala nas fraldas descartáveis. A aplicação do PAS nas fraldas permitiu diminuir o volume deste material sem perda da eficácia. Cerca de 136 milhões de quilos de polímeros de poliacrilato são utilizados anualmente. Buscando diminuir a quantidade deste material no meio ambiente, são necessários estudos que viabilizem alternativas de sua decomposição. Dentre as opções viáveis está o processo de biodegradação, que é caracterizado pela ação de seres vivos, sobretudo os pertencentes ao grupo dos microrganismos (bactérias e fungos), que utilizam o material para retirar a energia para o seu desenvolvimento. Este projeto tem como objetivo avaliar a biodegradabilidade do poliacrilato de sódio (PAS) e modificar sua estrutura via degradação microbiana. Análises descritivas e comparativas são as bases para o estudo e compreensão da biodegradação do PAS. Para os testes de biodegradação serão utilizados microrganismos do solo e o fungo Aspergillus niger. Após 8 meses de biodegradação do composto enterrado pôde-se concluir através... (Resumo completo, clicar acesso eletrônico abaixo)
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This work presents a study that aims to validate the fatigue analyses developed on finite element commercial software, ANSYS Workbench. It was based on mechanical tests development of traction and hardness, to verify the mechanical properties of material that the shaft was manufactured (ABNT 1045 steel), it was developed bend test, with purpose to prove the confiability degree of computational analyses, obtaining the maximum stress in a work condition determined with 40 [kgf] of load applied, and at the end, was developed the fatigue test to obtain the number of cycles that the transmission shaft can support in a work condition with 8 [kgf] of load applied. The results obtained during the work present, have to be quite satisfactory with the theoretically expected
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The goal of this work is to study the process of interaction of protons with matter through Monte Carlo simulation. For this purpose, it was employed the SRIM program (Stopping and Range of Ions in Matter ) and MCNPX (Monte Carlo N-Particle eXtended) v2.50. This work is going to support the development of a tomography system with protons. It was studied the interaction of proton with the follow materials: Polimethyl Mehacralate (PMMA), MS20 Tissue Substitute and water. This work employed energies in range of 50 MeV and 250 MeV, that is the range of clinical interest. The energy loss of proton after cross a material layer, the decreasing of its intensity, the angular and lateral de ection of incident beam, including and excluding nuclear interactions. This work is related with Medical Physics and Material Physics, like interaction of radiation with matter, particle transport phenomena, and the experimental methods in Nuclear Physics like simulation and computational by Monte Carlo method
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The optimal supply chain management (SCM) is considered by the companies a new frontier in order to gain efficiently competitive advantage. Through the SCM companies must define their competitive strategies by positioning inside the supply chain wich belongs both as suppliers and as consumers. The main objectives of SCM is integrate multiple suppliers to satisfy the market demand and make possible the synergies between the parts of the supply chain in order to better serve the consumer Meanwhile, selection, evaluation and development of suppliers play important roles in establishing an efficient supply chain. Thus, the SCM covers elements such as manufacturing, assembly, raw materials, and distribution to the final consumer. Due to the factors described, the focus of this paper is to present the Analytic Hierarchical Process (AHP) application as an appropriate and structured method for the supplier selection of a strategic line of low voltage transformers of a transformers industry and compare it with the selection process currently used by this industry, showing the advantages of applying a multiple criteria decision making method. In this study, the research methodology used was modeling and simulation
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The aim of this work is to study some of the density estimation tec- niques and to apply to the segmentation of medical images. Medical images are used to help the diagnostic of tumor diseases as well as to plan and deliver treatment. A computer image is an array of values representing colors in some scale. The smallest element of the image to which it is possible to assign a value is called pixel. Segmen- tation is the process of dividing the image in portions through the classi¯cation of each pixel. The simplest way of classi¯cation is by thresholding, given the number of portions and the threshold values. Another method is constructing a histogram of the pixel values and assign a portion to each pike. The threshold is the mean between two pikes. As the histogram does not form a smooth curve it is di±cult to discern between true pikes and random variation. Density estimation methods allow the estimation of a smooth curve. Image data can be considered as mixture of different densities. In this project parametric and nonparametric methods for density estimation will be addressed and some of them are applied to CT image data
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Wind power is a type of energy that is still not too explored in Brazil and, because of the lack of experience in projects of this size, there are still some problems during the stages of planning and execution of wind farms projects. One of these problems is related with the parts’ transportation logistics, since these parts are difficult to transport, because of their length, weight or shape. Furthermore, another aggravating factor is the lack of options regarding to the transportation modals that are available to do the route between the manufacture place and the project site. To help in the decision-making process about the ideal transportation configuration, aiming to reduce the dependence of the logistics’ coordinator, it was chosen to use he AHP method to compare some criteria that have influence in the modal’s choice process. The criteria, determined by the members of the company’s logistics’ department, are: transportation costs, transportation time and the risk of causing damages to the cargo. The results shown by this model, using theoretical background, that standardize the processes related to the modal’s choice
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The increasing demand for electro-electronic devices, with high performance and multi-functional and the rapid advances of the nanotechnology require the development of new methods and techniques for the production and characterization of nanostructure materials and phenomenological models to describe/to predict some of its properties. The demand for multifunctionality requires, at least, new materials, that can integrate ferroelectric and magnetic properties of high technological interest. Inside of this context, multiferroics material can be considered suitable to integrate two or more physical properties of high technological interest. It can also provides new challenges in the processes of synthesis of new materials, and development of new devices with controlling and simulation of its physical properties and modeling. For this Calcium (Ca)-doped bismuth ferrite (BiFeO3) thin films prepared by using the polymeric precursor method (PPM) were characterized by X-ray diffraction (XRD), field emission gun scanning electron microscopy (FEG-SEM), transmission electron microscopy (TEM), polarization and piezoelectric measurements.In order to study the behavior and determine which are the most important parameters to achieve the optimal property to be applied to a multiferroic materials
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The friction phenomena is present in mechanical systems with two surfaces that are in contact, which can cause serious damage to structures. Your understanding in many dynamic problems became the target of research due to its nonlinear behavior. It is necessary to know and thoroughly study each existing friction model found in the literature and nonlinear methods to define what will be the most appropriate to the problem in question. One of the most famous friction model is the Coulomb Friction, which is considered in the studied problems in the French research center Laboratoire de Mécanique des Structures et des Systèmes Couplés (LMSSC), where this search began. Regarding the resolution methods, the Harmonic Balance Method is generally used. To expand the knowledge about the friction models and the nonlinear methods, a study was carried out to identify and study potential methodologies that can be applied in the existing research lines in LMSSC and then obtain better final results. The identified friction models are divided into static and dynamic. Static models can be Classical Models, Karnopp Model and Armstrong Model. The dynamic models are Dahl Model, Bliman and Sorine Model and LuGre Model. Concerning about nonlinear methods, we study the Temporal Methods and Approximate Methods. The friction models analyzed with the help of Matlab software are verified from studies in the literature demonstrating the effectiveness of the developed programming
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TFor companies to remain competitive should seek investment in the project management through new tools. The method Critical Chain has been considered an innovative way to manage projects, to promote change and give great results. However, there are still some questions to be answered and there are few papers reporting on the implementation of CCPM method in real environment of multiple projects. This work analyze the deployment process of Critical Chain at a company in the technology sector, in order to check the risk factors, advantages and difficulties in that process. Showing not only the likely benefits, but also the possible difficulties, mainly cultural and behavioral, inherent in all business transformation processes in order to support the implementation of all theoretical architecture for corporate reality
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Pós-graduação em Engenharia Mecânica - FEG
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)