Correlation of Experimental Liquid–Liquid Equilibrium Data for Ternary Systems Using NRTL and GMDH-Type Neural Network

Bekri, Sezin; Özmen, Dilek; Özmen, Atilla

doi:10.1021/acs.jced.6b00985

Cited by 11 publications

(9 citation statements)

References 34 publications

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“…The equilibrium data of aqueous solution of propionic acid with organic solvents have been correlated using both thermodynamic (NRTL) and mathematical (GMDH-type neural network) models by Özmen and co-workers . In conclusion, more equilibrium data have already been reported by our research team.…”

Section: Introductionmentioning

confidence: 93%

Comparative Analysis of Liquid–Liquid Equilibria for Aqueous Systems of Propionic Acid with Structurally Similar Aryl Solvents

Gilani

Kashef

Khanghah

2020

Ind. Eng. Chem. Res.

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Liquid−liquid phase equilibria were comparatively studied for the aqueous mixtures of propionic acid with four structurally similar aryl compounds (2-phenylethanol, 1-phenylpropanol, propiophenone, and methyl benzoate) as a function of the mixture composition at T = 298.2 K and p = 0.1 MPa. The cloud point data were measured, and the corresponding solubility diagrams for the studied ternary systems were plotted. Tie lines were measured by the analysis of both the aqueous and organic phases. All of the ternary systems display the type-1 liquid−liquid equilibrium (LLE) behavior. The quality of tie lines was confirmed by the linear behavior of the Othmer−Tobias plot. The thermodynamic model of NRTL was successfully used to correlate the experimental tie lines, and the model binary interaction parameters were determined. Evaluation of the extracting ability of the aryl solvents was performed by the estimation of the solute distribution coefficients and selectivities. Finally, all of the studied aryl solvents are appropriate separating agents for aqueous propionic acid mixtures.

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Section: Introductionmentioning

confidence: 93%

Comparative Analysis of Liquid–Liquid Equilibria for Aqueous Systems of Propionic Acid with Structurally Similar Aryl Solvents

Gilani

Kashef

Khanghah

2020

Ind. Eng. Chem. Res.

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“…34 During the learning process, GMDH applies different polynomial schemes for linking between the input parameters and the nodes of the intermediate layers. 35,36 The hybrid form is considered the most reliable version of GMDH as it brings many advantages in the learning process. 34,37 Application of higher-order polynomials and the interaction between the different nodes regardless of their positions are among the specificities ensuring the flexibility and the accuracy of the hybrid version of GMDH.…”

Section: Group Methods Of Data Handlingmentioning

confidence: 99%

Toward robust models for predicting carbon dioxide absorption by nanofluids

et al. 2022

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The application of nanofluids has received increased attention across a number of disciplines in recent years. Carbon dioxide (CO2) absorption by using nanofluids as the solvents for the capture of CO2 is among the attractive applications, which have recently gained high popularity in various industrial aspects. In this work, two robust explicit‐based machine learning (ML) methods, namely group method of data handling (GMDH) and genetic programming (GP) were implemented for establishing accurate correlations that can estimate the absorption of CO2 by nanofluids. The correlations were developed using a comprehensive database that involved 230 experimental measurements. The obtained results revealed that the proposed ML‐based correlations can predict the absorption of CO2 by nanofluids with high accuracy. Besides, it was found that the GP‐based correlation yielded more precise predictions compared to the GMDH‐based correlation. The GP‐based correlation has an overall coefficient of determination of 0.9914 and an overall average absolute relative deviation of 3.732%. Lastly, the carried‐out trend analysis confirmed the compatibility of the proposed GP‐based correlation with the real physical tendency of CO2 absorption by nanofluids. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.

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“…11−14 Mainly, hydrocarbons and halogenated hydrocarbon, 15−17 ketones, 18−22 heavy alcohols, 23−28 esters and dibasic esters, 29−32 nitriles, 33,34 and ethers 35 have been examined for the LLE measurements. In the latest investigations, O ̈zmen and co-worker 36 have reported further equilibrium data for the related PA containing systems.…”

Section: ■ Introductionmentioning

confidence: 93%

“…In the earliest investigations, several authors have reported many LLE data on systems containing water, PA, and organic solvents from different chemical categories. − Subsequently, important studies have been carried out on the acid extraction from water and LLE measurements by several researchers. − Mainly, hydrocarbons and halogenated hydrocarbon, − ketones, − heavy alcohols, − esters and dibasic esters, − nitriles, , and ethers have been examined for the LLE measurements. In the latest investigations, Özmen and co-worker have reported further equilibrium data for the related PA containing systems.…”

Section: Introductionmentioning

confidence: 94%

Experimental and Correlated Liquid–Liquid Equilibrium Data for (Water + Propionic Acid + Ethylbenzene or Benzyl Benzoate) Ternary Systems

Gilani

Kashef

2020

J. Chem. Eng. Data

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This paper reports the ternary liquid−liquid equilibrium (LLE) data for water−propionic acid−ethylbenzene at T = (308.2 and 318.2) K and water− propionic acid−benzyl benzoate systems at T = (298.2, 308.2, and 318.2) K and p = 0.1 MPa for the first time. Solubility data and mutual solubilities between ethylbenzene or benzyl benzoate and water were measured using the traditional cloud point method. Tie lines were experimentally obtained using acidimetric titration, the Karl Fisher titration and the refractive index measurements on the both aqueous and organic phases. The ternary systems exhibit type-1 phase behavior. The reliability of the tie-line data exhibited linear behavior in the Hand and Othmer−Tobias correlation plots. The experimental tie line data were correlated using the nonrandom two-liquid and universal quasichemical thermodynamic models, and the corresponding binary interaction parameters were determined. The results demonstrate the capability of the two models in correlation and description of the phase behavior of the related ternary systems with acceptable average root-mean-square deviation (rmsd) values. As a result, temperature has only a minor effect on the LLE behavior of the system containing benzyl benzoate.

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Correlation of Experimental Liquid–Liquid Equilibrium Data for Ternary Systems Using NRTL and GMDH-Type Neural Network

Cited by 11 publications

References 34 publications

Comparative Analysis of Liquid–Liquid Equilibria for Aqueous Systems of Propionic Acid with Structurally Similar Aryl Solvents

Comparative Analysis of Liquid–Liquid Equilibria for Aqueous Systems of Propionic Acid with Structurally Similar Aryl Solvents

Toward robust models for predicting carbon dioxide absorption by nanofluids

Experimental and Correlated Liquid–Liquid Equilibrium Data for (Water + Propionic Acid + Ethylbenzene or Benzyl Benzoate) Ternary Systems

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