The Experts below are selected from a list of 225 Experts worldwide ranked by ideXlab platform
J. Vladimir Oliveira - One of the best experts on this subject based on the ideXlab platform.
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Fractionation of citronella (Cymbopogon winterianus) essential oil and concentrated orange oil phase by batch vacuum distillation
Journal of Food Engineering, 2011Co-Authors: Stephani C. Beneti, Eline Rosset, Caren D. Frizzo, Marcos Lúcio Corazza, Marco Luccio, J. Vladimir OliveiraAbstract:Abstract The aim of this work was to assess the performance of a vacuum Fractionating Column for the fractionation of citronella essential oil and concentrated orange oil phase during batch mode operation at different pressures, from 20 to 1 mbar and reflux ratios from 1:1 to 10:1. Fractions from Column top and bottom were analyzed by gas chromatography (GC/FID) using authentic standards of major constituents of the oils. Good fractionation results for citronella essential oil were achieved, affording complete removal of limonene, with a rich citronellal fraction and an output stream constituted mainly by citronellol and geraniol. Likewise, the use of the vacuum fractionation Column allowed almost complete removal of limonene (∼0.7 wt% at Column bottom) from the orange oil phase at the lowest operating pressure, 1 mbar, while the higher valencene content (20.5 wt%) was obtained at 10 mbar and reflux ratio of 1:1.
Alciaturi Carlos - One of the best experts on this subject based on the ideXlab platform.
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DESARROLLO DE UN PROGRAMA PARA ESTUDIAR EL COMPORTAMIENTO DE UNA ColumnA DE FRACCIONAMIENTO ETANO/ETILENO DE UNA PLANTA DE OLEFINAS
Universidad Rafael Belloso Chacín, 2012Co-Authors: González Patricia, Alciaturi CarlosAbstract:En este trabajo se presenta el desarrollo de programas para el estudio del comportamiento de una Columna de fraccionamiento Etano/Etileno, perteneciente a una planta de Olefinas. Se utilizaron una red neuronal (RNA) del tipo multicapas con propagación hacia adelante y el algoritmo de mínimos cuadrados parciales (PLS) con este propósito. El entrenamiento de la red neuronal y la obtención del modelo PLS se realizaron con datos experimentales de la planta. Estos datos experimentales se dividieron en un conjunto de prueba y un conjunto de validación. Se demostró que la red neuronal fue muy superior al algoritmo PLS para la predicción de la producción de etileno a partir de parámetros de funcionamiento de la planta. Adicionalmente, estos resultados fueron comparados con los resultados de la simulación arrojados por un paquete comercial, resultando en una buena correspondencia entre las predicciones del modelo de red neuronal y las del paquete comercial.This paper presents the development of programs for the study of the behavior of a Fractionating Column of Ethane/Ethylene, which belongs to an olefin plant. We used a neural network (ANN) multilayer type with forward propagation algorithm and partial least squares (PLS) for this purpose. The training of the neural network and the PLS model obtaining were performed with experimental data of the plant. These experimental data were divided into a test set and a validation set. It was shown that the neural network was much higher than PLS algorithm for predicting the production of ethylene from operating parameters of the plant. Additionally, these results were compared with simulation results achieved by a commercial package, resulting in a good agreement between predictions of the neural network model and the commercial package ones
William H. Hearn - One of the best experts on this subject based on the ideXlab platform.
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Overfill protective systems—Complex problem, simple solution
Process Safety Progress, 2010Co-Authors: Angela E. Summers, William H. HearnAbstract:Overfills have resulted in significant process safety incidents. Longford (Australia, 1998), Texas City (United States, 2005), and Buncefield (United Kingdom, 2005) can be traced to loss of level control leading to high level and ultimately to loss of containment. A tower at Longford and a Fractionating Column at Texas City were overfilled, allowing liquid to pass to downstream equipment that was not designed to receive it. The Buncefield incident occurred when a terminal tank was overfilled releasing hydrocarbons through its conservation vents. The causes of overfill are easy to identify; however, the risk analysis is complicated by the combination of manual and automated actions often necessary to control level and to respond to abnormal level events. This article provides a brief summary of the Longford, Texas City, and Buncefield incidents from an overfill perspective, and highlights five common factors that contributed to making these incidents possible. Fortunately, although overfill can be a complex problem, the risk reduction strategy is surprisingly simple. © 2010 American Institute of Chemical Engineers Process Saf Prog, 2010
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Overfill protective systems – Complex problem, simple solution
Journal of Loss Prevention in the Process Industries, 2010Co-Authors: Angela E. Summers, William H. HearnAbstract:Abstract Overfills have resulted in significant process safety incidents. Longford (Australia, 1998), Texas City (United States, 2005), and Buncefield (United Kingdom, 2005) can be traced to loss of level control leading to high level and ultimately to loss of containment. A tower at Longford and a Fractionating Column at Texas City were overfilled, allowing liquid to pass to downstream equipment that was not designed to receive it. The Buncefield incident occurred when a terminal tank was overfilled releasing hydrocarbons through its conservation vents. The causes of overfill are easy to identify; however, the risk analysis is complicated by the combination of manual and automated actions often necessary to control level and to respond to abnormal level events. This paper provides a brief summary of the Longford, Texas City, and Buncefield incidents from an overfill perspective and highlights 5 common factors that contributed to making these incidents possible. Fortunately, while overfill can be a complex problem, the risk reduction strategy is surprisingly simple.
Stephani C. Beneti - One of the best experts on this subject based on the ideXlab platform.
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Fractionation of citronella (Cymbopogon winterianus) essential oil and concentrated orange oil phase by batch vacuum distillation
Journal of Food Engineering, 2011Co-Authors: Stephani C. Beneti, Eline Rosset, Caren D. Frizzo, Marcos Lúcio Corazza, Marco Luccio, J. Vladimir OliveiraAbstract:Abstract The aim of this work was to assess the performance of a vacuum Fractionating Column for the fractionation of citronella essential oil and concentrated orange oil phase during batch mode operation at different pressures, from 20 to 1 mbar and reflux ratios from 1:1 to 10:1. Fractions from Column top and bottom were analyzed by gas chromatography (GC/FID) using authentic standards of major constituents of the oils. Good fractionation results for citronella essential oil were achieved, affording complete removal of limonene, with a rich citronellal fraction and an output stream constituted mainly by citronellol and geraniol. Likewise, the use of the vacuum fractionation Column allowed almost complete removal of limonene (∼0.7 wt% at Column bottom) from the orange oil phase at the lowest operating pressure, 1 mbar, while the higher valencene content (20.5 wt%) was obtained at 10 mbar and reflux ratio of 1:1.
Alireza Salehpour - One of the best experts on this subject based on the ideXlab platform.
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Fuel properties of the oils produced from the pyrolysis of commonly-used polymers: Effect of Fractionating Column
Journal of Analytical and Applied Pyrolysis, 2016Co-Authors: Mojtaba Heydariaraghi, Sohrab Ali Ghorbanian, Ahmad Hallajisani, Alireza SalehpourAbstract:Abstract The effects of using a packed Column as a Fractionating system on thermal degradation of commonly-used polymers have been studied. The polymers investigated were virgin polyethylene (LDPE and HDPE), polypropylene (PP), and polystyrene (PS), as well as two post-consumer polymer mixtures, namely municipal plastic waste (MPW) and scrap tire. The experiments were carried out under atmospheric pressure in a 6 L semi-batch stainless steel vessel equipped with the Fractionating system. The system led to total elimination of wax formation, color improvement, and reduction in the density of the resultant pyrolysis oils. The oils were analyzed according to ASTM D86, the standard test method for boiling range distribution of petroleum fractions. The obtained values were compared to the Iran standard limits established for diesel (ISIRI4903) and gasoline (ISIRI4904). Furthermore, Fourier transform infrared spectroscopy (FT-IR) was utilized to determine the chemical composition of the oils. Finally, the spectra of the generated tire and MPW-derived oils were compared with the spectra of conventional fuels, gasoline and diesel.
