872 resultados para Cell robot - Automotive industry
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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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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Aplicação de redes NeuroFuzzy ao processamento de peças automotivas por meio de injeção de polímeros
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The injection molding of automotive parts is a complex process due to the many non-linear and multivariable phenomena that occur simultaneously. Commercial software applications exist for modeling the parameters of polymer injection but can be prohibitively expensive. It is possible to identify these parameters analytically, but applying classical theories of transport phenomena requires accurate information about the injection machine, product geometry, and process parameters. However, neurofuzzy networks, which achieve a synergy by combining the learning capabilities of an artificial neural network with a fuzzy set's inference mechanism, have shown success in this field. The purpose of this paper was to use a multilayer perceptron artificial neural network and a radial basis function artificial neural network combined with fuzzy sets to produce an inference mechanism that could predict injection mold cycle times. The results confirmed neurofuzzy networks as an effective alternative to solving such problems.
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Arguments that lean manufacturing can positively relate with the operational performance of companies have been spreading the literature since the 1990s. However, there is a theoretical and empirical gap on this issue that needs further empirical evidence to validate or refute these arguments to the Brazilian reality. Hence, this research aims to, empirically, verify if the lean manufacturing positively influences the performance of the operations of companies in the Brazilian automotive industry, focusing on the segment of automotive parts and components. Methodologically, we carried out a survey of 75 companies in the mentioned sector. The data were analyzed using Structural Equation Modeling, a second-generation multivariate analysis. The main results of this research are: in fact, lean manufacturing positively affects the operational performance of the studied companies, validating the main hypothesis stated in this article, but this relation is just considered weak, although positive; all lean manufacturing practices analyzed were encountered in the reality, especially for the variable continuous improvement, with the highest average and the correlation between the adoption of Kanban and Just in Time; the operational performance construct has some practices/measures identified by the literature, which have not been validated by the studied sector, as innovation (new products) and quality.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The increase of the world population and their consumption power requires companies to increase their production capacity to meet demand. This production process is often performed without control and degrades the environment. In view of the stiffness of the legal requirements and the increasing of environmental concerns, companies need to act in a sustainable way to continue existing. The main objective of this study is to investigate how sustainability reports that follow the guidelines of the Global Reporting Initiative (GRI) can bring benefits to companies in the continuous improvement of its processes and the competitiveness of the sector. The sector chosen for the study was the automotive industry, due to its importance in the national economy and the significant impacts caused to the population and to the environment. The methodology consists of reading the GRI sustainability reports of companies and then performing a comparison among them and the bibliography of the subject. The results confirm the importance of the GRI sustainability reporting for companies and show how the selected indicators can contribute to the corporate management and to the control of its processes
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The Measurement System Analysis (MSA - Measurement System Analysis) is a statistical methodology developed to study and analyze the behavior of the measurement systems, and, therefore, allow the increased of the confidence readings performed by measuring instruments. It’s widely used in the automotive industry since the 90’s and is a mandatory requirement for the approval of the parts according to ISO Standard of the automotive sector. However, the aerospace industry doesn’t require this type of Study, once which the vast majority of aeronautics parts have characteristics (dimensions) with very tight tolerances, closed, ie, at the home of microns. This work aims to create lists of recommendations for definitions of measuring instruments in developing of control plans, which correlates tolerances fields of characteristics for different settings and acceptance of the instrument, classified as optimum, recommended and not recommended, through of the study of R&R (Repeatability and Reproducibility) in aeronautics parts. Every methodology of the experimental part was based on modern strategy of continuous improvement, the DMAIC (Define Measure Analyze Implant Control), in order to achieve better measurement method used in the control of milling aeronautics parts, identifying and reducing the variations of the measurement process. The results of the R&R Study in large part of measuring instrument manuals were considered acceptable and/or recommended, ie with values of %P/T and %RR lower than 30%, providing statistical data which have enabled the elaboration of tables of recommendations, which, from this work, have turned into very important documents and aid for Process Engineering, having in their hands a technical study able to identify which is the most appropriate instrument to get a more robust dimensional... (Complete abstract click electronic access below)
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The search for energy efficiency improvement is a common concern in many companies. Cogeneration is a well known technique but not so spread in Brazil, despite its potential for energy costs reduction through heat recovery from prime movers. In this work, a preliminary technical and economic study is carried out for a cogeneration plant application in an automotive industry of São Paulo. Though mathematics modeling, three 2435 kW internal combustion engines are selected. When compared to the current status (no cogeneration), annual savings of about 2,2 MR$ are obtained, resulting a almost 3 years payback
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In this paper we study the process of manufacture of wire drawn steel bars 9254, from rolled wire rod. These bars are used in the automotive industry for the manufacture of coil springs, which make up the system damping of several vehicles. The wire drawing process consists of the steps of pre-straightening, shot peening, drawing, cutting and polishing. The study aims to search for the configuration of process variables, which present the best result with respect to bending. To this were maintained settings prestraightening and mechanical stripping and varied angles and stringer polish being studied to replace the spinneret with a working angle, for a string with two working angles. To assist in the analysis of the results was the tool used DOE Software Minitab, which assesses the variation in results according to each parameter and the interaction parameters. It was thus possible to determine the best condition for wire drawing
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The AA356 alloy is an alloy widely used in the automotive industry and aerospace due to its excellent mechanical properties. Refining the structure of eutectic silicon aluminum alloys is a fairly common practice in the foundry through treatment known as modification. This can be achieved by modifying agent adding chemicals such as contained in groups I and IIa of the periodic table and rare earths (europium, céreioi, praseodymium, neodymium, etc.). Has the ability to modify the structure of the eutectic, but only sodium and strontium produce an action modifier strong when used in low concentrations. The modifying effect of the shafts turn silicon into a fibrous form and branched surrounded by metallic matrix in the form of a composite structure that has the highest limit of tensile strength, ductility and machinability. In this work will be obtained ingots with and without the modifier type Al-10% Sr, made in sand molds and are generated and analyzed cooling curves and also the study of the macrostructure and microstructure of the solidified material. It was found that by adding the Al-Sr made shorten the solidification time and lower the grain size
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The screen work seeks to illustrate the experiential marketing strategies, relating these concepts within the automotive industry. From the methodology of content analysis, success stories of the automotive industry have been analyzed in the light of experimental marketing theories to elucidate the strategies of organizations with their target audience. The objectives aimed at understanding and studying experiential marketing within the market scenario, identify its main characteristics and applicability. The main results stand out that sensory experiences provided by experiential marketing can be the differentiating factors between organizations, especially, those of the automotive sector
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The internal combustion engine is a heat engine widely used in the automotive industry. In order to better understand its behavior many models in the literature have been proposed in the last years. The 0-D thermodynamic model is a fairly simple tool but it is very useful to understand the phenomenon of combustion inside the chamber of internal combustion engines. In the first phase of this work, an extensive literature review was made in order to get information about this kind of analysis and, after this, apply them in a model able to calculate the instantaneous temperature and pressure in one zone of the combustion chamber of a diesel engine. Therefore some considerations were made with the aim of increasing the accuracy of the model in predicting the correct behavior of the engine, adding the combined effects of heat transfer, leakage and injection. In the second phase, the goal was to study the internal flow of a three-dimensional model of an internal combustion engine. In order to achieve this goal the software Solidworks was used to create the geometries of an engine and the suite of softwares Ansys was used to create the moving mesh (ICEM CFD and CFX-Pre) and to solve the CFD problem (Ansys CFX code). The model was able to perform the air flow simulation during the four-stroke cycle of an engine: admission, compression, expansion and exhaust. The results obtained from both models were suitable and they open a new range of possibilities for future researches on the field