7 resultados para Operational speed

em Instituto Politécnico do Porto, Portugal


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Microwave-assisted extraction (MAE) of agar from Gracilaria vermiculophylla, produced in an integrated multitrophic aquaculture (IMTA) system, from Ria de Aveiro (northwestern Portugal), was tested and optimized using response surface methodology. The influence of the MAE operational parameters (extraction time, temperature, solvent volume and stirring speed) on the physical and chemical properties of agar (yield, gel strength, gelling and melting temperatures, as well as, sulphate and 3,6-anhydro-Lgalactose contents) was evaluated in a 2^4 orthogonal composite design. The quality of the extracted agar compared favorably with the attained using traditional extraction (2 h at 85ºC) while reducing drastically extraction time, solvent consumption and waste disposal requirements. Agar MAE optimum results were: an yield of 14.4 ± 0.4%, a gel strength of 1331 ± 51 g/cm2, 40.7 ± 0.2 _C gelling temperature, 93.1 ± 0.5ºC melting temperature, 1.73 ± 0.13% sulfate content and 39.4 ± 0.3% 3,6-anhydro-L-galactose content. Furthermore, this study suggests the feasibility of the exploitation of G. vermiculophylla grew in IMTA systems for agar production.

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A Qualidade do Ar Interior (QAI) é um fator de grande preocupação. A importância de manter um ambiente salubre é mais acentuada em estabelecimentos escolares (EE), tendo em conta, que no interior destes permanecem crianças durante um elevado período de tempo. É fundamental garantir uma boa QAI nos edifícios escolares, de forma a salvaguardar a saúde, o bem-estar e o conforto dos ocupantes, bem como, não comprometer o seu desempenho escolar. Recentemente, foram construídos novos edifícios escolares e alguns dos existentes foram alvo de obras de remodelação. Contudo, a crescente tendência em construir edifícios cada vez mais herméticos, com vista à diminuição dos gastos de energia, origina problemas como a reduzida ventilação dos espaços. Vários estudos têm demonstrado a influência das atividades de limpeza na QAI. No entanto, verifica-se que na maioria das escolas não existem ainda procedimentos de limpeza padronizados. A falta de instruções de trabalho e a ausência de formação às assistentes operacionais pode comprometer a eficácia dos procedimentos de higienização, o que poderá ter influência na QAI dos espaços. Este estudo teve como principal objetivo avaliar a QAI em escolas básicas de 1.º ciclo. Foram contemplados no estudo fatores como a tipologia do edifício, a ocupação das salas e as atividades de limpeza. Procedeu-se à caracterização dos EE e à monitorização de parâmetros ambientais, como a temperatura do ar, a humidade relativa, a velocidade do ar, o dióxido de carbono, o monóxido de carbono, as partículas, os microrganismos mesófilos totais e os fungos. Estes parâmetros foram avaliados nas salas com ocupação, sem ocupação e durante a implementação de um plano de higienização. A ventilação inadequada parece ser o fator que mais condiciona a QAI das salas de aula avaliadas. Registaram-se elevadas concentrações de dióxido de carbono e de microrganismos mesófilos totais, que parecem estar relacionados com a permanência dos ocupantes nos locais e com a falta de ventilação adequada dos espaços. A concentração de dióxido de carbono foi mais elevada em edifícios recentes. Os picos elevados na concentração de partículas parecem estar associados com as atividades dos ocupantes. Obtiveram-se concentrações menores de fungos e de microrganismos mesófilos totais ao longo da implementação do plano de higienização, o que poderá significar que os procedimentos de limpeza contribuem para reduzir os níveis de contaminação dos espaços interiores. No entanto, tendo em conta, que a concentração de microrganismos mesófilos totais permaneceu elevada, as operações de limpeza parecem não ser suficientes para garantir uma boa QAI. O aumento da ventilação dos espaços poderia contribuir significativamente para a melhoria da QAI dos espaços avaliados.

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A new operationalmatrix of fractional integration of arbitrary order for generalized Laguerre polynomials is derived.The fractional integration is described in the Riemann-Liouville sense.This operational matrix is applied together with generalized Laguerre tau method for solving general linearmultitermfractional differential equations (FDEs).Themethod has the advantage of obtaining the solution in terms of the generalized Laguerre parameter. In addition, only a small dimension of generalized Laguerre operational matrix is needed to obtain a satisfactory result. Illustrative examples reveal that the proposedmethod is very effective and convenient for linear multiterm FDEs on a semi-infinite interval.

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Si3N4 tools were coated with a thin diamond film using a Hot-Filament Chemical Vapour Deposition (HFCVD) reactor, in order to machining a grey cast iron. Wear behaviour of these tools in high speed machining was the main subject of this work. Turning tests were performed with a combination of cutting speeds of 500, 700 and 900 m min−1, and feed rates of 0.1, 0.25 and 0.4 mm rot−1, remaining constant the depth of cut of 1 mm. In order to evaluate the tool behaviour during the turning tests, cutting forces were analyzed being verified a significant increase with feed rate. Diamond film removal occurred for the most severe set of cutting parameters. It was also observed the adhesion of iron and manganese from the workpiece to the tool. Tests were performed on a CNC lathe provided with a 3-axis dynamometer. Results were collected and registered by homemade software. Tool wear analysis was achieved by a Scanning Electron Microscope (SEM) provided with an X-ray Energy Dispersive Spectroscopy (EDS) system. Surface analysis was performed by a profilometer.

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Wind speed forecasting has been becoming an important field of research to support the electricity industry mainly due to the increasing use of distributed energy sources, largely based on renewable sources. This type of electricity generation is highly dependent on the weather conditions variability, particularly the variability of the wind speed. Therefore, accurate wind power forecasting models are required to the operation and planning of wind plants and power systems. A Support Vector Machines (SVM) model for short-term wind speed is proposed and its performance is evaluated and compared with several artificial neural network (ANN) based approaches. A case study based on a real database regarding 3 years for predicting wind speed at 5 minutes intervals is presented.

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Recently, operational matrices were adapted for solving several kinds of fractional differential equations (FDEs). The use of numerical techniques in conjunction with operational matrices of some orthogonal polynomials, for the solution of FDEs on finite and infinite intervals, produced highly accurate solutions for such equations. This article discusses spectral techniques based on operational matrices of fractional derivatives and integrals for solving several kinds of linear and nonlinear FDEs. More precisely, we present the operational matrices of fractional derivatives and integrals, for several polynomials on bounded domains, such as the Legendre, Chebyshev, Jacobi and Bernstein polynomials, and we use them with different spectral techniques for solving the aforementioned equations on bounded domains. The operational matrices of fractional derivatives and integrals are also presented for orthogonal Laguerre and modified generalized Laguerre polynomials, and their use with numerical techniques for solving FDEs on a semi-infinite interval is discussed. Several examples are presented to illustrate the numerical and theoretical properties of various spectral techniques for solving FDEs on finite and semi-infinite intervals.