The Correlation and Prediction of the Viscosities of Mixtures Over a Wide Range of Pressure and Temperature

Teja, Amyn S.; Thurner, Paul A.

doi:10.1080/00986448608911794

Cited by 14 publications

(7 citation statements)

References 14 publications

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“…The first one is composed by predictive or semi-predictive models often based on the corresponding states theory [4][5][6][7][8][9][10][11][12][13][14]; in many cases, these models are able to represent the properties with an accuracy level that is sufficient for engineering calculations. Moreover, theoretically based models, as for example those including the evaluation of collision integrals, have been developed.…”

Section: Introductionmentioning

confidence: 99%

A multiparameter thermal conductivity equation for R134a with an optimized functional form

Scalabrin

Marchi

Finezzo

2006

Fluid Phase Equilibria

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Section: Introductionmentioning

confidence: 99%

A multiparameter thermal conductivity equation for R134a with an optimized functional form

Scalabrin

Marchi

Finezzo

2006

Fluid Phase Equilibria

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“…In the case of only one experimental viscosity value being available, Equation (9) can be used as well, with only said term in the summation and with little loss of accuracy. In this case, the comparison of Equations (8) and (9) shows that the proposed model is just as predictive as the previous ones (Scalabrin and Grigiante, 1997;Willman and Teja, 1988;Teja et al, 1986) using as the scaling factor.…”

Section: The Proposed Modelmentioning

confidence: 79%

“…Some former attempts are present in literature (Willman and Teja, 1988;Teja et al, 1986) and the interpolation of reduced viscosity by that of two reference #uids utilizing, at "rst too, the of Pitzer has been carried out by the authors with good results (Scalabrin and Grigiante, 1997).…”

Section: Conformality Of the Compressibilitymentioning

confidence: 99%

A corresponding states predictive viscosity model based on a new scaling parameter: application to hydrocarbons, halocarbons and mixtures

Scalabrin

Cristofoli

Grigiante

2001

Int. J. Energy Res.

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SUMMARYA three-parameter corresponding states (CS) model is developed, importing methods formerly studied for the volumetric representation of #uids. The three parameters are critical temperature, pressure and a viscosity scaling factor de"ned from experimental saturated liquid viscosity data or, when these are unavailable, from a single experimental point. Two reference #uids are chosen both for their factor value and because the corresponding viscosity dedicated equations (VDE) are available. On the basis of the three-parameter CS model proposed by Teja et al. for volumetric properties, the reduced viscosity of a third #uid is obtained in reduced P, ¹ variables interpolating that of the two reference #uids, calculated at the same reduced temperature and pressure, by .Where the transport property is known along the saturation line at least, an improvement is introduced by correcting the factor with a temperature-dependent function "tted on these data. The model is then extended to mixtures using the one--uid model approach, in a completely predictive mode with respect to the mixture.The accuracy for both pure #uids and mixtures is comparable with that of the reference #uids' equations, while in the unimproved and improved mode the amount of input data is very limited. Also, comparison with a four-parameter CS model and with an ECS model con"rms the accuracy of the present technique. Considering the predictive nature of the model and the scattering of the available experimental data, the mean accuracy is good and more than satisfactory for the purposes of technical applications.

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“…The first approach includes predictive or semi-predictive models which are often based on corresponding states theory [1][2][3][4][5][6][7][8][9][10], and in many cases, they can be used to estimate the property with an accuracy level which is considered sufficient for engineering calculations. Theoretically based models, for instance, those including the evaluation of collision integrals, have also been developed.…”

Section: Introductionmentioning

confidence: 99%

A Multiparameter Viscosity Equation for 1,1-Difluoroethane (R152a) with an Optimized Functional Form

2006

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This paper presents a new formulation for the viscosity surface of 1,1-difluoroethane (R152a). The formulation is a multiparameter equation η = η (ρ, T ) obtained from an optimization technique of the functional form based on available experimental data. The equation is valid for temperatures from 240 to 440 K and pressures up to 20 MPa. Two lines of viscosity minima have been observed, and they have been analytically defined. A high accuracy equation of state for R152a was used to convert the experimental variables (P , T ) into the independent variables of the viscosity equation (ρ, T ). Comparisons with data are given to establish the accuracy of the viscosity values calculated using this equation. The obtained results are very satisfactory with an average absolute deviation of 0.27% for the selected 264 primary data points, and this is a significant improvement with respect to other equations in the literature.

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The Correlation and Prediction of the Viscosities of Mixtures Over a Wide Range of Pressure and Temperature

Cited by 14 publications

References 14 publications

A multiparameter thermal conductivity equation for R134a with an optimized functional form

A multiparameter thermal conductivity equation for R134a with an optimized functional form

A corresponding states predictive viscosity model based on a new scaling parameter: application to hydrocarbons, halocarbons and mixtures

A Multiparameter Viscosity Equation for 1,1-Difluoroethane (R152a) with an Optimized Functional Form

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