236 resultados para Automoveis - Baterias
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Pós-graduação em Engenharia Civil - FEIS
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This article aims to discuss how leading companies of the automotive battery industry installed in Brazil are dealing with barriers to the adoption of green supply chain management (GSCM) practices. From these discussions, we list the opportunities and challenges to the automotive battery sector in incorporating GSCM actions. We conducted a multiple-case study with the top five companies in this sector. The highlight factors are “organizational values” and “human resources” for internal barriers, and “suppliers” and “consumers” for external barriers.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Em países de clima tropical, o calor é um dos principais limitantes à produção de frangos de corte, sendo ainda responsável por induzir uma elevada mortalidade, especialmente na fase de terminação. Visando aliviar o efeito do estresse pelo calor, foram avaliadas duas técnicas para melhorar a tolerância térmica: o condicionamento térmico precoce (TCP) e a formulação dieta utilizando o princípio de Mongin (equilíbrio eletrolítico). Para tanto, o balanço eletrolítico do K+Na-Cl foi ajustado em 350 mEq/kg e a relação eletrolítica (K+Cl)/Na em 3:1, pelo programa PPFR (http://www.fmva.unesp.br/ppfr). Foram utilizados 300 pintos machos Cobb 500, em arranjo fatorial 2x2 (com e sem TCP e com e sem o princípio de Mongin), num delineamento inteiramente casualizado, em 24 boxes (6 repetições por tratamento). As aves foram inicialmente alojadas em baterias metálicas (1-7 dias de idade), e posteriormente em piso (8-48 dias de idade), sendo arraçoadas com: (T1) dieta tradicional sem TCP; (T2) dieta tradicional com TCP; (T3) dieta com a aplicação do equilíbrio eletrolítico sem TCP e (T4) dieta com aplicação do equilíbrio eletrolítico com TCP. O condicionamento térmico foi realizado no quinto dia de idade, por 24 horas a 36 °C, somente na metade do lote (150 aves). Após esse período, todas as aves foram transferidas para boxes de 1,5x3m (12 aves/boxe), tendo como cama a maravalha de madeira reutilizada. Aos 36 dias de idade foi aplicado um estresse agudo (36°C) por 8 horas em todos os tratamentos, sendo monitorado eletronicamente a temperatura e a umidade do galpão e do microclima na altura das aves. A alimentação e a água foram ad libitum, mesmo durante o período de estresse. Foram aferidos os dados de desempenho aos 7, 35 e 48 dias de idade para ganho de peso, consumo de ração e conversão alimentar, e também a taxa de mortalidade de cada boxe. Verificou-se que tanto o equilíbrio eletrolítico como o condicionamento térmico precoce foram eficazes significativamente (P<0,05) para minimizar a mortalidade dos frangos submetidos ao estresse agudo de calor, sem prejuízo no desempenho das aves. Além disso, foi observado um efeito mais favorável quando aplicados simultaneamente (T4). Assim, para o tratamento em que nenhuma destas estratégias foram utilizadas (T1), a taxa de mortalidade foi 83% superior ao tratamento em que ambas foram aplicadas (T4). Assim, tanto o condicionamento térmico precoce como o princípio de Mongin foram válidos para minimizar os efeitos danosos causados pelo calor em frangos de corte.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Ciências Cartográficas - FCT
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This paper presents the application and use of a methodology based on fuzzy theory and simulates its use in intelligent control of a hybrid system for generating electricity, using solar energy, photovoltaic and wind. When using a fuzzy control system, it reached the point of maximum generation of energy, thus shifting all energy generated from the alternative sources-solar photovoltaic and wind, cargo and / or batteries when its use not immediately. The model uses three variables used for entry, which are: wind speed, solar radiation and loading the bank of batteries. For output variable has to choose which of the batteries of the battery bank is charged. For the simulations of this work is used MATLAB software. In this environment mathematical computational are analyzed and simulated all mathematical modeling, rules and other variables in the system described fuzzy. This model can be used in a system of control of hybrid systems for generating energy, providing the best use of energy sources, sun and wind, so we can extract the maximum energy possible these alternative sources without any prejudice to the environment.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model
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A gear Box in a Baja SAE vehicle is required due to the objectives of the SAE competitions, which the vehicles are challenged to pass through different obstacles. A powertrain system has as the main objective the extension of the torque for the traction shaft of the vehicle, when compared to that one available in the engine. The Objective of this thesis is the description of a gear box project for a Baja SAE vehicle of the Piratas do Vale Team of Unesp Guaratinguetá. In the development of the thesis, a flowchart, developed by the team, was used, which includes a theory part and also the choice of shelf components. In this Project, the type of gearbox was chosen, besides the calculation of axles, gears, bearings and sealers, and software simulations were done for the critical parts. The transmission, developed in this thesis, is more complex than the current one used by the team, but the new one shows improvements, as a new reverse gear with high torque
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Currently there are two car models that use electricity in their propulsion systems, the electric vehicle and the hybrid electric vehicle. The electric vehicles are classified as vehicles that use electric motors in their propulsion system and batteries as a power source, on the other hand, the hybrid vehicles are classified as vehicles that use both electric motors and internal combustion engines in their propulsion system, using both batteries and líquid fuels as a power source. The main goal of this work is to analyze the characteristics of electric and hybrid electric vehicles and demonstrate the unfeasibility of the electric vehicle in the current economic, political, energetic and environmental brazilian scenario, for this purpose it was realized a study about the current brazilian situation regarding to electricity generation, current conservation status of road network, lack of electrical infrastructure for charging batteries, national lithium reserves, environmental characteristics, tax incentives, economic scenario, oil market and political positioning related to the implantation of electric or hybrid electric fleets in nacional territory. The operational characteristics analysis of electric and hybrid electric vehicles in this current scenario leads to the conclusion that currently a growth of electric vehicles fleets on a national scale is totally impractical in the Brazil, Thus, the introduction of green vehicles probably will occur primarily with hybrid electric models, motivated mainly due the bigger autonomy of this models compared to electric models, lower cost of hybrid electric models compared to electric models, factors related to the lack of recharging infrastructure and also factors related to political positioning
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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