The Experts below are selected from a list of 32001 Experts worldwide ranked by ideXlab platform
Dariush Mowla - One of the best experts on this subject based on the ideXlab platform.
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estimation of viscosity of binary mixtures of ionic liquids and solvents using an artificial neural network based on the structure groups of the ionic liquid
Fluid Phase Equilibria, 2014Co-Authors: Mohammadreza Fatehi, Sona Raeissi, Dariush MowlaAbstract:Abstract A feed-forward neural network was constructed and tested to estimate the viscosities of binary mixtures of five different types of ionic liquids with various polar and non-polar solvents within a range of temperatures. The ionic liquids investigated had various anions and consisted of either the imidazolium, ammonium, pyridinium, pyrrolidinium, or isoquinolinium cations, with various cation alkyl side-chains. Together, a total of 1996 experimental data were collected from previously published literature and divided randomly into three different datasets: 1775 data points making up the training and validation datasets, and 221 data points selected as a test dataset. The molecular weight and group structure of the ionic liquid, the molecular weight and reduced boiling temperature of the solvent, and the Molar Composition, temperature, and pressure of the system were selected as the independent input variables. Results indicated that the network structure presented in this study is capable to estimate the viscosity of such nonideal binary mixtures, consisting of a range of ionic liquids and solvents, with an average relative error of 0.6%.
Mohammadreza Fatehi - One of the best experts on this subject based on the ideXlab platform.
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estimation of viscosity of binary mixtures of ionic liquids and solvents using an artificial neural network based on the structure groups of the ionic liquid
Fluid Phase Equilibria, 2014Co-Authors: Mohammadreza Fatehi, Sona Raeissi, Dariush MowlaAbstract:Abstract A feed-forward neural network was constructed and tested to estimate the viscosities of binary mixtures of five different types of ionic liquids with various polar and non-polar solvents within a range of temperatures. The ionic liquids investigated had various anions and consisted of either the imidazolium, ammonium, pyridinium, pyrrolidinium, or isoquinolinium cations, with various cation alkyl side-chains. Together, a total of 1996 experimental data were collected from previously published literature and divided randomly into three different datasets: 1775 data points making up the training and validation datasets, and 221 data points selected as a test dataset. The molecular weight and group structure of the ionic liquid, the molecular weight and reduced boiling temperature of the solvent, and the Molar Composition, temperature, and pressure of the system were selected as the independent input variables. Results indicated that the network structure presented in this study is capable to estimate the viscosity of such nonideal binary mixtures, consisting of a range of ionic liquids and solvents, with an average relative error of 0.6%.
Andre Pitasse Da Cunha - One of the best experts on this subject based on the ideXlab platform.
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Automação e controle "on line" de uma coluna de destilação em batelada
[s.n.], 2018Co-Authors: Andre Pitasse Da CunhaAbstract:Orientadores: João Alexandre Ferreira da Rocha Pereira, Ana Maria Frattini FiletiDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia QuimicaResumo: No presente trabalho, foi desenvolvido um sistema de controle adaptativo digital baseado em planejamento da razão de refluxo para a destilação em batelada do binário n.hexano-n.heptano, objetivando o controle da composição Molar de topo do componente mais volátil dentro de uma especificação desejada. Para tal projeto, utilizou-se um programa de simulação da coluna de destilação em estudo com operação contínua para caracterização das, etapas da destilação em batelada, através da variação da composição Molar de hexano no refervedor, simulando a escassez ocorrida durante a operação em batelada. E pelo método da curva de reação de Cohen e Coon, levantaram-se os perfis dos parâmetros do controlador. O algoritmo de controle foi testado em simulação computacional (off-line) e corrida experimental (on-line) da destilação em batelada. Os ajustes encontrados foram excelentesAbstract: In this work, a digital adaptative control system was developed based on a reflux rate policy to the batch distillation of the system n-hexane and n-heptane binary, aiming at the control of top Molar Composition of the more volatile component within a desired specification. For this project, a simulation program of a distillation column under continuous operation was used in order to characterize the steps of the batch distillation, through the variation of the hexane Molar Composition at the reboiler, simulating the scarcity occured during batch operation. By using the Process Reaction Curve Method of Cohen and Coon, the instantaneous values of the controller parameters were obtained. The control algorithm was tested through computational simulation and in a pilot batch column. The agreement was found to be excellentMestradoMestre em Engenharia Químic
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Automação e controle "on line" de uma coluna de destilação em batelada
2017Co-Authors: Andre Pitasse Da CunhaAbstract:Resumo: No presente trabalho, foi desenvolvido um sistema de controle adaptativo digital baseado em planejamento da razão de refluxo para a destilação em batelada do binário n.hexano-n.heptano, objetivando o controle da composição Molar de topo do componente mais volátil dentro de uma especificação desejada. Para tal projeto, utilizou-se um programa de simulação da coluna de destilação em estudo com operação contínua para caracterização das, etapas da destilação em batelada, através da variação da composição Molar de hexano no refervedor, simulando a escassez ocorrida durante a operação em batelada. E pelo método da curva de reação de Cohen e Coon, levantaram-se os perfis dos parâmetros do controlador. O algoritmo de controle foi testado em simulação computacional (off-line) e corrida experimental (on-line) da destilação em batelada. Os ajustes encontrados foram excelentesAbstract: In this work, a digital adaptative control system was developed based on a reflux rate policy to the batch distillation of the system n-hexane and n-heptane binary, aiming at the control of top Molar Composition of the more volatile component within a desired specification. For this project, a simulation program of a distillation column under continuous operation was used in order to characterize the steps of the batch distillation, through the variation of the hexane Molar Composition at the reboiler, simulating the scarcity occured during batch operation. By using the Process Reaction Curve Method of Cohen and Coon, the instantaneous values of the controller parameters were obtained. The control algorithm was tested through computational simulation and in a pilot batch column. The agreement was found to be excellen
Sona Raeissi - One of the best experts on this subject based on the ideXlab platform.
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estimation of viscosity of binary mixtures of ionic liquids and solvents using an artificial neural network based on the structure groups of the ionic liquid
Fluid Phase Equilibria, 2014Co-Authors: Mohammadreza Fatehi, Sona Raeissi, Dariush MowlaAbstract:Abstract A feed-forward neural network was constructed and tested to estimate the viscosities of binary mixtures of five different types of ionic liquids with various polar and non-polar solvents within a range of temperatures. The ionic liquids investigated had various anions and consisted of either the imidazolium, ammonium, pyridinium, pyrrolidinium, or isoquinolinium cations, with various cation alkyl side-chains. Together, a total of 1996 experimental data were collected from previously published literature and divided randomly into three different datasets: 1775 data points making up the training and validation datasets, and 221 data points selected as a test dataset. The molecular weight and group structure of the ionic liquid, the molecular weight and reduced boiling temperature of the solvent, and the Molar Composition, temperature, and pressure of the system were selected as the independent input variables. Results indicated that the network structure presented in this study is capable to estimate the viscosity of such nonideal binary mixtures, consisting of a range of ionic liquids and solvents, with an average relative error of 0.6%.
Kaoru Onuki - One of the best experts on this subject based on the ideXlab platform.
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stability of a silica membrane prepared by cvd using γ and α alumina tube as the support tube in the hi h2o gaseous mixture
Journal of Membrane Science, 2003Co-Authors: Gabjin Hwang, Hosang Choi, Kaoru OnukiAbstract:Abstract The stability of a silica membrane prepared by chemical vapor deposition (CVD) in the HI–H2O gaseous mixture was evaluated aiming at the application for hydrogen iodide deComposition in the thermochemical IS process. Porous α- and γ-alumina tubes having pore sizes of 100 and 10 nm, respectively, were modified by chemical vapor deposition using tetraethoxysilane as the Si source. H2/N2 selectivities of the modified membranes which were measured by single-component permeation experiment showed 50.4, 7.5, 63.7, 7.7 and 3.8 at 600 °C for the NS-1, NS-2, NS-3, NS-4 and S-1 membranes, respectively. Stability experiment in the HI–H2O gaseous mixture was carried out at 450 °C. The prepared membrane using γ-alumina as the support tube was more stable than that using α-alumina as the support tube. The S-1 membrane using α-alumina as the support tube showed the high stability in the HI–H2O gaseous mixture and had the high H2/HI selectivity (240–2600 at 300–600 °C) in the H2–H2O–HI (Molar Composition; 0.09:0.78:0.13) gaseous mixture after the stability test.
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hydrogen separation in h2 h2o hi gaseous mixture using the silica membrane prepared by chemical vapor deposition
Journal of Membrane Science, 1999Co-Authors: Gabjin Hwang, Kaoru Onuki, Saburo Shimizu, Haruhiko OhyaAbstract:Abstract Hydrogen separation in H 2 –H 2 O–HI gaseous mixture using the silica membrane prepared by CVD was evaluated aiming at the application for hydrogen iodide deComposition in the thermochemical IS process. Porous alumina tubes having pore size of 100 nm (M1) and 10 nm (M2) were modified by chemical vapor deposition using tetraethoxysilane as the Si source. Single-component permeance to He, H 2 , and N 2 was measured at 300–600°C. Hydrogen permeance of the modified membranes at a permeation temperature of 600°C was about 6×10 −9 mol/Pa m 2 s. H 2 /N 2 selectivities at 600°C were 5.2 and 160 for M1 and M2 membrane, respectively. Separation experiments of a H 2 –H 2 O–HI mixture using the modified membranes were carried out at 300–600°C. Hydrogen permeances were almost the same as the single-component permeances, whereas HI permeances were below 1×10 −11 mol/Pa m 2 s. The hydrogen permeances were not changed after one day exposure in a mixture of H 2 –H 2 O–HI with a Molar Composition of 0.23:0.65:0.12 at 450°C.