Influência do processamento térmico sobre as propriedades mecânicas e microestruturais de um aço XC48 aplicado a componentes automotivos visando atendimento ao projeto ULSAB

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Innovación sustentable: espacios para mejorar la competitividad de las PYMES argentinas

Incluye bibliografía.

Foreign Direct Investment in Latin America and the Caribbean 2009

Includes bibliography.

Efeito da adição de lama vermelha como carga nas propriedades mecânicas de compósitos de poliéster insaturado reforçado com fibra natural de curauá (Ananas erectifolius)

Atualmente, devido à necessidade crescente de materiais de bom desempenho mecânico e devido questões ambientais, busca-se cada vez mais a substituição de fibras sintéticas usadas em compósitos (como a fibra de vidro) por fibras naturais. Uma fibra natural que já vem sendo utilizada pela indústria automobilística é a fibra de Curauá (Ananas erectifolius) e apresenta excelente resistência à tração. Na expectativa de melhorar certas propriedades dos compósitos e de reduzir a quantidade de resina, e desse modo o custo, busca-se também o uso de cargas incorporadas à matriz dos compósitos. Em trabalhos recentes têm-se estudado a lama vermelha (resíduo da indústria da bauxita) como carga devido sua alta disponibilidade e baixo custo, além de ser uma resíduo potencialmente perigoso para o ambiente. O objetivo desse trabalho foi analisar os efeitos da adição de lama vermelha em compósitos de poliéster reforçados com fibras naturais de Curauá (Ananas erectifolius). Os resultados mostraram que a utilização da lama vermelha como carga em proporções volumétricas maiores ou iguais a 20% e fibra de curauá em fração volumétrica de 5% provocou um efeito de reforço significativo.

Caracterização mecânica e microestrutural de um aço 300M com microestrutura multifásica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelo de flexibilidade de manufatura em processos de submontagem

Through observation of production process of a Vale do Paraiba’s automobile industry, one can encounter in need of improvement related to large uncertainties and variations in the production environment, a fact that inspired the search for solutions that can respond quickly to these changes. This way, the paper describes the development of a flexible manufacturing model, which aims to optimize the process in an automotive sub-assembly industry of the Paraíba Valley. The main objective is to propose a method to promote viable alternatives to easing the assembly of parallel sub performed the assembly of cars. For the construction of the model was necessary to explore concepts of flexible manufacturing and making the data presented in literature, which were vital to ensure the development of the method. The concepts discussed are usually presented at an undergraduate degree in Engineering. Data compiled by the model are able to serve as a strategic benchmark for decision making by managers. Featuring alternative response variables and uncertainties of the organizational environment, a fact that facilitates the management of human resources and productive

Análise da troca de calor em sistemas de injeção de termoplásticos – um estudo de caso: polipropileno

The purpose of this work was to define the processes through which the cooling of thermoplastics parts occur inside the mold cavity in an injection process. The plastic materials have become more widespread in the automobile industry and, among its manufacturing processes, injection moulding develops quickly, allowing the manufacturing of quality parts in great volumes. Data was collected from the injection of Volkswagen Gol NF 23X (Gol Generation 5). Using approximated methods for calculation for the heat Exchange inside the mould, in the cooling system, the required water flow was determined to properly cool the parts. Comparing the obtained value with Project specifications, it was verified that the method, in spite of incurring in some mistakes, is efficient in determining the flow of cooling fluid and serves as a verification tool for the parameters defined on project, and can be applied to simple projects. The definition of the cooling system, in practice, is dependent on innumerable variables and each case must be approached in itself, since the parameters for one product may not be ideal for another

Marketing experimental: análise de conteúdo na indústria automobilística

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

Aplicação de adesivos estruturais em painéis de carros

The automobile industry is increasingly interested in reducing vehicle weight for greater speed, lower fuel consumption and emissions, through innovation of materials and processes. One way to do this is to seek the replacement of conventional processes by the use of structural adhesives. Structural adhesives are highly resistant materials, which can replace rivets, bolts and welds allowing the substrate / adhesive assemble is stronger than the substrate itself. One of the major advantages of gluing with respect to welding is its esthetic appearance, since it does not leave marks. For this reason, parts to be soldered require a minimum thickness so that the marks do not appear, since the pieces from gluing have no restriction as to the thickness. By replacing the vibration welding process for gluing process of the instrument panel parts of an automobile, one obtains a reduction of the thickness of the parts and therefore it decreases the weight of the car. This work aims to study the various structural adhesives that already exist on the market to be applied on the instrument panel. The mechanical test performed to measure the maximum adhesive strength was the Lap Shear Test at 23°C (room temperature), -35°C and 85°C. The types of adhesives used were the hot-melt and the bi-component. By the results obtained, it is in favor using the bi-component for application to the union of instrument panel parts

Aplicação do valor presente ajustado (APV) para avaliação do fluxo de caixa de uma empresa do setor automotivo no sistema inovar auto

The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

Estudo da viabilidade de implantação do INOVAR-AUTO utilizando o método do fluxo de caixa sob risco

The automobile industry has a growing importance in the Brazilian economic environment. The industry moves a huge chain that encompasses manufacturers, suppliers of raw materials, auto parts dealers, gas stations, insurance companies, repair shops, tire stores, media companies, advertising agencies, among others. Because of this importance in the current economic environment in Brazil, the federal government, through Law No. 12715 of 17 December 2012 established a Program for the Promotion of Innovation and Densification in the Productive Chain of Motor Vehicles called INOVAR-AUTO in order to support technological development, innovation, safety, environmental protection, energy efficiency and quality of cars, trucks, buses and auto parts. The specific purpose of this study, a simulation for discussion of the viability of the program implementation using the Monte Carlo Simulation combined with the Cash-Flow-at-Risk was performed. To this end, an exploratory and documentary literature on the subject was held as well as a case study in a automobile company of Japanese origin

Aplicação do valor presente ajustado (APV) para avaliação do fluxo de caixa de uma empresa do setor automotivo no sistema inovar auto

The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

Estudo da viabilidade de implantação do INOVAR-AUTO utilizando o método do fluxo de caixa sob risco

The automobile industry has a growing importance in the Brazilian economic environment. The industry moves a huge chain that encompasses manufacturers, suppliers of raw materials, auto parts dealers, gas stations, insurance companies, repair shops, tire stores, media companies, advertising agencies, among others. Because of this importance in the current economic environment in Brazil, the federal government, through Law No. 12715 of 17 December 2012 established a Program for the Promotion of Innovation and Densification in the Productive Chain of Motor Vehicles called INOVAR-AUTO in order to support technological development, innovation, safety, environmental protection, energy efficiency and quality of cars, trucks, buses and auto parts. The specific purpose of this study, a simulation for discussion of the viability of the program implementation using the Monte Carlo Simulation combined with the Cash-Flow-at-Risk was performed. To this end, an exploratory and documentary literature on the subject was held as well as a case study in a automobile company of Japanese origin

Dynamic distance analysis : new geometric data structures and algorithms for the real-time calculation of tolerance violating regions in the digital mockup process

In vielen Industriezweigen, zum Beispiel in der Automobilindustrie, werden Digitale Versuchsmodelle (Digital MockUps) eingesetzt, um die Konstruktion und die Funktion eines Produkts am virtuellen Prototypen zu überprüfen. Ein Anwendungsfall ist dabei die Überprüfung von Sicherheitsabständen einzelner Bauteile, die sogenannte Abstandsanalyse. Ingenieure ermitteln dabei für bestimmte Bauteile, ob diese in ihrer Ruhelage sowie während einer Bewegung einen vorgegeben Sicherheitsabstand zu den umgebenden Bauteilen einhalten. Unterschreiten Bauteile den Sicherheitsabstand, so muss deren Form oder Lage verändert werden. Dazu ist es wichtig, die Bereiche der Bauteile, welche den Sicherhabstand verletzen, genau zu kennen. rnrnIn dieser Arbeit präsentieren wir eine Lösung zur Echtzeitberechnung aller den Sicherheitsabstand unterschreitenden Bereiche zwischen zwei geometrischen Objekten. Die Objekte sind dabei jeweils als Menge von Primitiven (z.B. Dreiecken) gegeben. Für jeden Zeitpunkt, in dem eine Transformation auf eines der Objekte angewendet wird, berechnen wir die Menge aller den Sicherheitsabstand unterschreitenden Primitive und bezeichnen diese als die Menge aller toleranzverletzenden Primitive. Wir präsentieren in dieser Arbeit eine ganzheitliche Lösung, welche sich in die folgenden drei großen Themengebiete unterteilen lässt.rnrnIm ersten Teil dieser Arbeit untersuchen wir Algorithmen, die für zwei Dreiecke überprüfen, ob diese toleranzverletzend sind. Hierfür präsentieren wir verschiedene Ansätze für Dreiecks-Dreiecks Toleranztests und zeigen, dass spezielle Toleranztests deutlich performanter sind als bisher verwendete Abstandsberechnungen. Im Fokus unserer Arbeit steht dabei die Entwicklung eines neuartigen Toleranztests, welcher im Dualraum arbeitet. In all unseren Benchmarks zur Berechnung aller toleranzverletzenden Primitive beweist sich unser Ansatz im dualen Raum immer als der Performanteste.rnrnDer zweite Teil dieser Arbeit befasst sich mit Datenstrukturen und Algorithmen zur Echtzeitberechnung aller toleranzverletzenden Primitive zwischen zwei geometrischen Objekten. Wir entwickeln eine kombinierte Datenstruktur, die sich aus einer flachen hierarchischen Datenstruktur und mehreren Uniform Grids zusammensetzt. Um effiziente Laufzeiten zu gewährleisten ist es vor allem wichtig, den geforderten Sicherheitsabstand sinnvoll im Design der Datenstrukturen und der Anfragealgorithmen zu beachten. Wir präsentieren hierzu Lösungen, die die Menge der zu testenden Paare von Primitiven schnell bestimmen. Darüber hinaus entwickeln wir Strategien, wie Primitive als toleranzverletzend erkannt werden können, ohne einen aufwändigen Primitiv-Primitiv Toleranztest zu berechnen. In unseren Benchmarks zeigen wir, dass wir mit unseren Lösungen in der Lage sind, in Echtzeit alle toleranzverletzenden Primitive zwischen zwei komplexen geometrischen Objekten, bestehend aus jeweils vielen hunderttausend Primitiven, zu berechnen. rnrnIm dritten Teil präsentieren wir eine neuartige, speicheroptimierte Datenstruktur zur Verwaltung der Zellinhalte der zuvor verwendeten Uniform Grids. Wir bezeichnen diese Datenstruktur als Shrubs. Bisherige Ansätze zur Speicheroptimierung von Uniform Grids beziehen sich vor allem auf Hashing Methoden. Diese reduzieren aber nicht den Speicherverbrauch der Zellinhalte. In unserem Anwendungsfall haben benachbarte Zellen oft ähnliche Inhalte. Unser Ansatz ist in der Lage, den Speicherbedarf der Zellinhalte eines Uniform Grids, basierend auf den redundanten Zellinhalten, verlustlos auf ein fünftel der bisherigen Größe zu komprimieren und zur Laufzeit zu dekomprimieren.rnrnAbschießend zeigen wir, wie unsere Lösung zur Berechnung aller toleranzverletzenden Primitive Anwendung in der Praxis finden kann. Neben der reinen Abstandsanalyse zeigen wir Anwendungen für verschiedene Problemstellungen der Pfadplanung.

Minimizing residential distribution system operating costs through intelligently scheduled plug-in hybrid electric vehicle charging

Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more effcient, hybrid vehicles. Current trends show petroleum is being edged out in favor of electricity as the main vehicular motive force. The proposed methods create an optimized charging control schedule for all participating Plug-in Hybrid Electric Vehicles in a distribution grid. The optimization will minimize daily operating costs, reduce system losses, and improve power quality. This requires participation from Vehicle-to-Grid capable vehicles, load forecasting, and Locational Marginal Pricing market predictions. Vehicles equipped with bidirectional chargers further improve the optimization results by lowering peak demand and improving power quality.