Influence of the molecular structure on the viscosity of some alkoxyethanols

Reghem, Patrick; Baylaucq, Antoine; Comuñas, Marı́a J. P.; Fernández, Josefa; Boned, Christian

doi:10.1016/j.fluid.2005.02.009

Cited by 25 publications

(12 citation statements)

References 36 publications

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“…The viscosity data of 31 oxygenated fuels (1574 points) at temperatures ranging from 243.15 to 413.15 K and at pressures ranging from 0.1 to 200 MPa are collected from the literature − ,− and listed in Table . The information of the chemicals provided in the literature is shown in Table S1 (Supporting Information).…”

Section: Methodsmentioning

confidence: 99%

General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels

et al. 2019

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Oxygenated fuel is a promising alternative fuel for engines because of the advantage of low emission. In this work, a general model based on back-propagation neural networks was developed for estimating the viscosities of different kinds of oxygenated fuels including esters, alcohols, and ethers, whose input variables are pressure, temperature, critical pressure, critical temperature, molar mass, and acentric factor. The viscosity data of 31 oxygenated fuels (1574 points) at temperatures ranging from 243.15 to 413.15 K and at pressures ranging from 0.1 to 200 MPa were collected to train and test the back-propagation neural network model. The comparison result shows that the predictions of the proposed back-propagation neural network model agree well with the experimental viscosity data of all studied oxygenated fuels using the general parameters (weight and bias). The average absolute relative deviations for training data, validation data, and testing data are 1.19%, 1.27%, and 1.30%, respectively.

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Section: Methodsmentioning

confidence: 99%

General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels

et al. 2019

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“…The combination of different types of organic cations and anions produce different types of ionic liquids (ILs); the interaction between the particular types of cation and anion species exhibits a wide variety of physicochemical properties. To improve the properties of ionic liquids with the addition of a cosolvent for their effective use in various chemical and industrial processes requires accurate knowledge of various thermophysical properties such as density, speed of sound, refractive index, and excess molar volume of mixtures of ILs with organic liquids. − In recent years many researchers have been focused on the research and development of ILs for many fields. − In the present study, we have used the ionic liquid consisting of 1-ethyl-3-methylimidazolium ion ([Emim] + ) as cation and bis(trifluoromethylsulfonyl)imide ([NTf 2 ] − ) as the anion.…”

Section: Introductionmentioning

confidence: 99%

Volumetric, Ultrasonic, Spectroscopic, and Molecular Dynamics Simulations Studies of Molecular Interactions in Binary Mixtures of [Emim][NTf₂] with 2-Propoxyethanol at Temperatures from 298.15 to 318.15 K

Prathipati

Aangothu

Reddy³

et al. 2020

J. Chem. Eng. Data

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To know the molecular interaction pattern between the IL 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide, [Emim][NTf2], and organic solvent 2-propoxyethanol (2-PE), a detailed thermophysical study was conducted at a temperature range of 298.15–318.15 K, over the whole composition range of the mixture and atmospheric pressure. Further, the excess parameters like excess molar volume (V m E), excess isentropic compressibility (κs E), excess isobaric thermal expansion coefficient (αP E), deviation in refractive index (Δ⌀ n D), and partial molar quantities are obtained from the experimental values. To confirm the excess parameters obtained from the experimental values, these were checked with Redlich–Kister polynomial type equation. It was observed that in the binary system of [Emim][NTf2] and [2-PE] there are strong attractive forces at the IL-rich region. Finally, the microscopic interactions were also confirmed with ATR-FTIR spectra and molecular dynamics simulation studies.

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“…Viscosity has a significant impact on the spray characteristics and combustion of the fuel [13]. For decades, the experimental viscosity of oxygenated compounds has been widely reported [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] often with significant scatter. In addition to the provision of accurate data, a rigid theoretical model for the viscosity of oxygenated fuels is required to further our knowledge and assist applications.…”

Section: Introductionmentioning

confidence: 99%

“…For each component, the parameters in Eq. ( 12) are obtained by correlating the experimental 183 data from literatures [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]…”

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confidence: 99%

Viscosity of oxygenated fuel: A model based on Eyring’s absolute rate theory

Zhu

Yang

Liu

et al. 2019

Fuel

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A viscosity model was proposed for oxygenated fuel components; it was based on Eyring's absolute rate theory and a cubic equation of state Soave-Redlich-Kwong. The viscosity was associated with flow energy which could be divided into the activation energy and the vacancy-formation energy, and then a reference state for simplifying the calculation process was introduced in the present model. This work also reported a viscosity database at temperatures from 243.15 K to 413.15 K and pressures up to 200 MPa for 31 oxygenated fuel components containing alcohols, esters and ethers in order to verify the proposed model. The average absolute relative deviations between calculated and experimental data were lower than 2.37%. Furthermore, the free-volume model, which has a similar consideration of flow energy with this work, was chosen to further investigate the performance of the present model, and in general, the present model showed a better accuracy than the free-volume model. Finally, it was shown that the proposed model could be extended to the mixtures successfully.

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Influence of the molecular structure on the viscosity of some alkoxyethanols

Cited by 25 publications

References 36 publications

General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels

General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels

Volumetric, Ultrasonic, Spectroscopic, and Molecular Dynamics Simulations Studies of Molecular Interactions in Binary Mixtures of [Emim][NTf₂] with 2-Propoxyethanol at Temperatures from 298.15 to 318.15 K

Viscosity of oxygenated fuel: A model based on Eyring’s absolute rate theory

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Influence of the molecular structure on the viscosity of some alkoxyethanols

Cited by 25 publications

References 36 publications

General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels

General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels

Volumetric, Ultrasonic, Spectroscopic, and Molecular Dynamics Simulations Studies of Molecular Interactions in Binary Mixtures of [Emim][NTf2] with 2-Propoxyethanol at Temperatures from 298.15 to 318.15 K

Viscosity of oxygenated fuel: A model based on Eyring’s absolute rate theory

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Product

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Volumetric, Ultrasonic, Spectroscopic, and Molecular Dynamics Simulations Studies of Molecular Interactions in Binary Mixtures of [Emim][NTf₂] with 2-Propoxyethanol at Temperatures from 298.15 to 318.15 K