Vapor–liquid equilibrium of carbon dioxide with ethyl caproate, ethyl caprylate and ethyl caprate at elevated pressures

Hwu, Weng-Hong; Cheng, Jaw-Shin; Cheng, Kong-Wei; Chen, Yanping

doi:10.1016/s0896-8446(03)00028-7

Cited by 39 publications

(27 citation statements)

References 14 publications

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“…Tables 1–5 present the different systems investigated: high‐molecular weight paraffins (Table 1), high‐molecular weight alcohols (Table 2), fatty acids (Table 3), fatty acid methyl esters (Table 4), and fatty acid ethyl esters (Table 5). Also given in the tables are the source of the experimental solubility data employed,8–23 the values of constants A * and B * obtained and the R 2 values resulted from the regression procedure.…”

Section: Resultsmentioning

confidence: 99%

Potentials in anionic polyelectrolyte hydrogels

Gao

Reitz

Pollack

2003

J of Applied Polymer Sci

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Polyelectrolyte hydrogels perform interesting physical and chemical changes, such as motility and bend in the presence of electric fields and interaction with ionic surfactants. We think that ionizable groups of polyelectrolyte hydrogels play a vital role in these environments. In this work, we prepared three anionic polyelectrolyte hydrogels by two different routes, and micropipetts electrode was employed to determined negative potential in the gels.Our work showed that the gels reported herein all display a high degree of swelling with hydration and have a substantial negative potential in KCl solution and a simple mechanism was also described.

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Section: Resultsmentioning

confidence: 99%

Potentials in anionic polyelectrolyte hydrogels

Gao

Reitz

Pollack

2003

J of Applied Polymer Sci

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“…On the contrary, only the strong Brönster acid site [7][8] shows a good performance for this conversion in the liquid-phase Beckmann rearrangement. Ethyl caprylate (EP) is widely used in the manufacturing of cosmetics or in food industry [9] and large-scale preparation of this product also need the liquid acid as catalysts. Since ethyl caprylate is related to the human consumption, the product has to be as pure as possible, and, thus, trace impurities from corrosion products are not allowed.…”

Section: Introductionmentioning

confidence: 99%

Sulfonic acid functionalised SBA-15 as catalysts for Beckmann rearrangement and esterification reaction

et al. 2007

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“…The experimental data reported by, Hwu et al (2004) The application of ANN modelling of VLE of the six CO 2 -ester binaries was performed using MATLAB ® (version 6.1) and the strategy proposed by Plumb et al (2005) as follows: 1. The experimental data should be divided into a training set, a test set (when attenuated training is adopted) and a validation set.…”

Section: Vle Modelling With Neural Networkmentioning

confidence: 99%

“…In order to establish the developed NN model as plausible alternative to some cubic EOS and G E models for VLE data prediction of the CO 2 -ester systems studied herein, the results obtained by the ANN model were compared to the experimental data reported by Hwu et al (2004) for CO 2 -ethyl caprate, CO 2 -ethyl caproate and CO 2 -ethyl caprylate systems, and by Cheng and Chen (2005) for CO 2 -diethyl carbonate, CO 2 -ethyl butyrate and CO 2 -isopropyl acetate systems. They relate the predicted results for each binary for the entire temperature range using Peng-Robinson (PR) and Soave-Redlick-Kwong (SRK) EOS, with the one and two parameters Van der Waals (VDW1 and VDW2) mixing rules (MR), and the Panagiotopoulos-Reid (PPR) mixing rules and also those predicted using NRTL and UNIQUAC combined with PR and SRK EOS with HuronVidal (HV) mixing rules.…”

Section: Brazilian Journal Of Chemical Engineeringmentioning

confidence: 99%

“…Three pure component properties and two intensive state variables have been selected as the NN inputs in order to describe the VLE of the six binaries in one system. The experimental data used for training and validation of the NN are those reported by Hwu et al (2004) for CO 2 -ethyl caprate, CO2-ethyl caproate and CO 2 -ethyl caprylate systems, and by Cheng and Chen (2005) for CO 2 -diethyl carbonate, CO 2 -ethyl butyrate and CO 2 -isopropyl acetate systems. As mentioned by these authors, these systems are of importance for supercritical fluid extraction.…”

Section: Introductionmentioning

confidence: 99%

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Prediciton of high-pressure vapor liquid equilibrium of six binary systems, carbon dioxide with six esters, using an artificial neural network model

Si‐Moussa

Hanini

Derriche

et al. 2008

Braz. J. Chem. Eng.

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-Artificial neural networks are applied to high-pressure vapor liquid equilibrium (VLE) related literature data to develop and validate a model capable of predicting VLE of six CO 2 -ester binaries (CO 2 -ethyl caprate, CO 2 -ethyl caproate, CO 2 -ethyl caprylate, CO 2 -diethyl carbonate, CO 2 -ethyl butyrate and CO 2 -isopropyl acetate). A feed forward, back propagation network is used with one hidden layer. The model has five inputs (two intensive state variables and three pure ester properties) and two outputs (two intensive state variables).The network is systematically trained with 112 data points in the temperature and pressure ranges (308.2-328.2 K), (1.665-9.218 MPa) respectively and is validated with 56 data points in the temperature range (308.2-328.2 K). Different combinations of network architecture and training algorithms are studied. The training and validation strategy is focused on the use of a validation agreement vector, determined from linear regression analysis of the plots of the predicted versus experimental outputs, as an indication of the predictive ability of the neural network model. Statistical analyses of the predictability of the optimised neural network model show excellent agreement with experimental data (a coefficient of correlation equal to 0.9995 and 0.9886, and a root mean square error equal to 0.0595 and 0.00032 for the predicted equilibrium pressure and CO 2 vapor phase composition respectively). Furthermore, the comparison in terms of average absolute relative deviation between the predicted results for each binary for the whole temperature range and literature results predicted by some cubic equation of state with various mixing rules and excess Gibbs energy models shows that the artificial neural network model gives far better results.

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Vapor–liquid equilibrium of carbon dioxide with ethyl caproate, ethyl caprylate and ethyl caprate at elevated pressures

Cited by 39 publications

References 14 publications

Potentials in anionic polyelectrolyte hydrogels

Potentials in anionic polyelectrolyte hydrogels

Sulfonic acid functionalised SBA-15 as catalysts for Beckmann rearrangement and esterification reaction

Prediciton of high-pressure vapor liquid equilibrium of six binary systems, carbon dioxide with six esters, using an artificial neural network model

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