Journal of ThermodynamicsVolume 2013 (2013), Article ID 828620, 29 pageshttp://dx.doi.org/10.1155/2013/828620

Research Article

Modified Lennard-Jones Potentials with a Reduced Temperature-Correction Parameter for Calculating Thermodynamic and Transport Properties: Noble Gases and Their Mixtures (He, Ne, Ar, Kr, and Xe)

Seung-Kyo Oh

Pharmaceutics and Biotechnology Department, Konyang University, 121 University Road, Nonsan, Chungnam 320-711, Republic of Korea

Received 7 November 2012; Accepted 28 January 2013

Academic Editor: Bill Acree

Copyright © 2013 Seung-Kyo Oh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

The three-parameter Lennard-Jones potential function is proposed to calculate thermodynamic property (second virial coefficient) and transport properties (viscosity, thermal conductivity, and diffusion coefficient) of noble gases (He, Ne, Ar, Kr, and Xe) and their mixtures at low density. Empirical modification is made by introducing a reduced temperature-correction parameter to the Lennard-Jones potential function for this purpose. Potential parameters (, , and ) are determined individually for each species when the second virial coefficient and viscosity data are fitted together within the experimental uncertainties. Calculated thermodynamic and transport properties are compared with experimental data by using a single set of parameters. The present study yields parameter sets that have more physical significance than those of second virial coefficient methods and is more discriminative than the existing transport property methods in most cases of pure gases and of gas mixtures. In particular, the proposed model is proved with better results than those of the two-parameter Lennard-Jones potential, Kihara Potential with group contribution concepts, and other existing methods.

1. Introduction

Accurate representation of thermodynamic and transport properties is essential to process engineers to design and optimize equipment and chemical processes. Second virial coefficient is an important quantity which is useful in calculating vessel size from volumetric data, heating requirements from calorimetric data, and stage requirements from phase equilibrium data. Transport properties such as viscosity, thermal conductivity, and diffusion coefficient are critically important parameters in many engineering applications: for the determination of pipeline, heatexchanger and separation equipment size, mass transfer efficiency of reservoir of oils, and the power required to pump fluid [1].

The intermolecular forces are of great importance to scientists in a wide field of disciplines as information of these interactions provides the progress of collisions between molecules and determines the bulk properties of substances. Approximation of thermodynamic and transport properties from statistical mechanics requires a realistic intermolecular potential [2]. The theoretical basis in statistical mechanics for the virial equation is one of its attractions. The viral equation truncated after the second term is a popular tool to calculate accurate thermodynamic properties at low or moderate densities. A number of investigators have emphasized the determination of second virial coefficient through experiments and correlations. When Chapman-Enskog gas kinetic theory [3] allows the prediction of transport properties, the potential energy of molecular interactions is known as a function of intermolecular separation and orientation. A description of the spherically symmetric potential as a function of intermolecular separation, averaged over all molecular orientations, suffices to calculate dilute gas viscosities, thermal conductivities, and diffusion coefficients of monoatomic gases.

A realistic intermolecular potential allows the calculation of thermodynamic and transport properties. A lot of studies have focused on individual properties like second virial coefficient or viscosity for the determination of intermolecular potential parameters [2]. Potential parameters of any given model that give the best fit for thermodynamic and transport properties (e.g., second virial coefficient, viscosity, thermal conductivity, and diffusion coefficient) are generally different. Therefore, for a simple model such as Lennard-Jones potential, there is one specific set of potential parameters suitable for each property, producing significantly different results [4].

Several investigators [2, 5–7] have used statistical mechanics and kinetic theory of gases to represent thermodynamic and transport properties with a single set of molecular parameters, namely, those appearing in an intermolecular potential function. The Lennard-Jones potential has been widely used for the representation of thermodynamic and transport properties of normal fluids. In one particularly interesting study of Tee et al. [6], a single set of molecular parameters was evaluated from the Lennard-Jones potential for each species; in this procedure, viscosity data for each substance was fitted first by least-squares analysis, second virial coefficient was fitted next, and the data on second virial coefficient and viscosity were statistically analyzed simultaneously to develop corresponding states correlations with a single set of potential parameters for each substance. They concluded that when second virial coefficient and viscosity data were fitted together, their sets of molecular parameters give the best overall fit to the data for each species and tend to be least affected by experimental errors; beside that their results are quite comparable to those determined individually from viscosity. Potential parameters obtained in this manner were proved to be successful in predicting second virial coefficients and dilute gas viscosities for molecules ranging in shape from spherical to chains as long as n-heptane with good result. Hence, the Lennard-Jones potential is still attractive for its simplicity and capability of predicting noble gas properties if its weak point is compensated for and its accuracy is improved.

The objective of this study is to represent thermodynamic property (second virial coefficient) and transport properties (viscosity, thermal conductivity, and diffusion coefficient) of noble gases (He, Ne, Ar, Kr, and Xe) and their binary mixtures at low density using a single set of modified Lennard-Jones potential parameters. For this purpose, a temperature-correction parameter was introduced to the reduced temperature in the Lennard-Jones potential function. A set of potential parameters was determined when the second virial coefficient and viscosity data are fitted simultaneously within their experimental errors, separately for each noble gas; parameters obtained in this manner were used in all subsequent calculations of properties such as thermal conductivity and diffusion coefficient, in which data were not supplied to parameter estimations, and in mixture property computations. Validity of the modified Lennard-Jones potential with a reduced temperature-correction parameter was tested with good results in comparison with other existing methods.

2. Theory

In this paper, special focus was placed on the Lennard-Jones intermolecular potential for the computations of noble gas properties, even though more accurate potentials exist. A form of this potential was first established by Lennard-Jones [8] and is a mathematically simple model that approximates the interaction between a pair of neutral atoms or molecules. The most common expression of the Lennard-Jones potential has the form where is the intermolecular potential energy as a function of the separation distance between a pair of molecules, is the depth of the potential well in Joule, and is the finite distance in angstrom Ǻ  at which the interparticle potential becomes zero.

These potential parameters can be fitted by least-squares analysis and lead to provide accurate calculations of dilute gas thermodynamic property (second virial coefficient) and transport properties (viscosity, thermal conductivity, and diffusion coefficient) of noble gases, as summarized below.

2.1. Second Virial Coefficient

From statistical mechanics, the relations between second virial coefficient and intermolecular potential functions were theoretically derived; in particular, explicit expression of the second virial coefficient for the Lennard-Jones potential was rigorously derived by Hirschfelder et al. [4] for a computational use: in which   is the Avogadro’s constant 6.022·10²³ mol⁻¹, is the reduced (dimensionless) temperature , and is the Boltzmann constant 1.3806488·10⁻²³ JK⁻¹. However, Kojima [9] observed that it is quite effective for calculating virial coefficients from the Stockmayer intermolecular potential model with an aid of introducing a reduced temperature-correction parameter of as instead of using temperature . This temperature-correction parameter was also proved in developing a new virial equation of state by Ichikura et al. [10].

In the present study, our observations on the accurate approximation not only of thermodynamic property (second virial coefficient), but also of transport properties (viscosities, thermal conductivities, and diffusion coefficients) in the dilute gaseous phase of noble gases were made by introducing temperature-correction parameter to the reduced temperature shown in the Lennard-Jones (12-6) potential function:

Then the second virial coefficient can be calculated from (2) and (3) when three potential parameters of the modified Lennard-Jones potential are fitted together to second virial coefficient and viscosity data separately for each substance.

For interaction of different molecular species, the combining rules are used for the molecular distance, energy, and reduced temperature-correction parameter for mixture computations:

For spherical molecules, these equations are of high accuracy for the prediction of second cross-virial coefficient required in (2) and other mixture properties discussed later.

2.2. Viscosity

Transport properties (viscosity, thermal conductivity, and diffusion coefficient) at low density can be calculated by using Chapman-Enskog kinetic theory [3], which has been applied rigorously to monatomic gases in a number of studies [11]. The dilute gas viscosity can be well presented by the Chapman-Enskog approximation derived from the kinetic theory: where is the molecular weight (gram mol⁻¹), is the absolute temperature in Kelvin, and the viscosity is in micropoise . For mixture viscosity calculations, the formula proposed by Hirschfelder et al. [4] was used in this study, in which the interaction quantity must be determined to employ this method in advance: in which and are the molecular weights of the components 1 and 2, respectively, and is the modified reduced temperature for mixture calculations, . The composition dependence of viscosity on the binary gas mixture is defined as follows: where is the mixture viscosity, and , , and are the mole fractions, the molecular weights, and the viscosities at the mixture temperature of the pure components . And the quantities and are the collision integrals for viscosity and diffusion coefficient, respectively, and are defined as a function of the reduced temperature which depends on the intermolecular potential selected. Neufeld et al. [12] proposed analytical approximations to transport collision integrals for the Lennard-Jones potential in the range , being convenient for easy computer application:

2.3. Thermal Conductivity

Since the Chapman-Enskog gas kinetic theory uses a common basis for the evaluation of viscosity and thermal conductivity, the statistical expression for the thermal conductivity involves the same collision integral as does the viscosity. For a pure monoatomic gas at low density, which has no rotational or vibrational degrees of freedom, thermal conductivity was calculated through a rigorous analysis by Brokaw [13]: where the thermal conductivity is microwatts per meter per degree Kelvin in mW m⁻¹ K⁻¹ and is the universal gas constant 83.14 cm³ bar mol⁻¹ k⁻¹. Thus, the thermal conductivity of the noble gas can be calculated from the estimated potential parameters or from experimental viscosity data which are generally available for the molecule. In the present work, pure viscosity value obtained from (7) was used for the calculation of thermal conductivity of pure substance. It thus implies that a check on the thermal conductivity serves as a cross-check between the viscosity and thermal conductivity data and not necessarily as a check on the potential function chosen [14].

Various prediction methods for estimating mixture thermal conductivity have appeared, one of which is essentially empirical and it is reduced to some form of the Wassiljewa equation [15]: where is the mixture thermal conductivity and is a combinational factor. This factor is empirically expressed by Mason and Saxena [16] as where are the thermal conductivities of pure component determined from (16), which are sufficient to predict mixture thermal conductivity when its measurements are not available in the literature.

2.4. Diffusion Coefficient

The Chapman-Enskog expression for binary diffusion coefficient of dilute gas is presented by Hirschfelder et al. [4]: where is in cm² sec⁻¹ and is in bar. And is the collision integral for diffusion coefficient of nonpolar Lennard-Jones potential given by (15). When molecules 1 and 2 are identical, (19) becomes expression for the self-diffusion coefficient:

3. Results and Discussion

3.1. Pure Noble Gases

As a part of systematic program of our researches, modified Lennard-Jones potential function with a reduced temperature-correction parameter was applied to noble gases (He, Ne, Ar, Kr, and Xe) for the computation of thermodynamic (second virial coefficient) and transport properties (viscosity, thermal conductivity, and self-diffusion coefficient) at low density.

Using (2), (3), and (7), three potential parameters were evaluated from the simultaneous regression of second virial coefficient and viscosity data separately for each species. For instance, three parameter values for helium gas were determined from second virial coefficient and viscosity data of pure helium gas. Potential parameters of other noble gases were evaluated in an analogous manner.

A critical review of the literature on second virial coefficient was achieved by Dymond et al. [17]. They provided the recommended values of virial coefficients for each compound fitted to a smoothing function of temperature by the least-squares criterion. This smoothing function for second virial coefficient is the polynomial of reciprocal temperature with usually three terms. In particular, two different smoothing correlations of helium were given in the temperature ranges between 1.59 K and 35.1 K and between 35.1 K and 1473.15 K. We have used their comprehensive compilation of the second virial coefficient data as our data source. And pure viscosity data required for the potential parameter determinations were all taken from Stephan and Lucas [18], even though other recommended or various sets of data exist. Nonlinear least-squares parameter estimation subroutine based on the Levenberg-Marquardt algorithm supplied by IMSL STAT/library [19] was used in this data regression, in which each data point was weighted by its estimated experimental uncertainty taken from the corresponding Refs. A set of potential parameters individually for each substance can then be estimated when the following objective function is minimized: in which is the observed uncertainty of second virial coefficient in cm³ mol⁻¹ and is of dimensionless fractional uncertainty of viscosity in %. It is noted that the first term is designated for second virial coefficient and the second for viscosity.

Table 1 summarizes determined parameter values of modified Lennard-Jones potential of noble gases (He, Ne, Ar, Kr, and Xe). In Table 2, resulting deviations between observed and regressed second virial coefficient data are given on an RMSD (root-mean-square deviation) basis in cm³ mol⁻¹, which is defined by

Table 1: Potential parameters of Lennard-Jones (12-6) Potential with a reduced temperature-correction parameter.

Group

/K
τ/K

Helium

Neon

Argon

Krypton

Xenon

Table 2: Deviations between experimental and calculated second virial coefficients of pure noble gases.

Compound
Number of data points
Average RMSD in (cm³ mol⁻¹)
Δ (K)
Reference

Present study
Dymond et al.
L-J
Kihara
Tsonopoulos

Regression results

Helium
304
5.44
5.07a
10.9
10.8
39.1
2–1473
[2]

Neon
55
0.28
0.34
0.45
1.38
1.56
44–873
[2]

Argon
105
0.40
0.53
2.43
1.73
1.88
75–773
[2]

Krypton
157
2.87
3.18
5.75
3.67
6.90
107–873
[2]

Xenon
114
2.50
2.67
4.32
2.53
3.51
160–973
[2]

Average
735
3.33
3.29
6.79
5.99
18.6

Prediction results

Helium
8
4.13
1.08
10.8
4.29
14.9
343–374
[27]

Xenon
9
0.50
1.37
2.57
2.11
2.57
206–273
[28]

Average
17
2.21
1.23
6.44
3.14
8.37

Two different smoothing functions were used in the temperature ranges between 1.59 K and 35.1 K, and between 35.1 K and 1473.15 K.

Comparisons of the proposed method with other existing methods are shown in Table 2 along with their data sources and observed temperature ranges. The average RMSD between a total of observed and calculated 735 second virial coefficient data of five noble gases by the present method was 3.33 cm³ mol⁻¹, indicating that the proposed method compares very well with the Dymond’s correlations [17] 3.29 cm³ mol⁻¹ and yields more accurate results than other existing methods: original two-parameter Lennard-Jones potential [4] 6.79 cm³ mol⁻¹, Kihara potential with group contribution concept [20] 5.99 cm³ mol⁻¹, and the corresponding states method of Tsonopoulos [21] 18.6 cm³ mol⁻¹. A comparison of the measured and calculated second virial coefficients from Dymond et al. [17] for pure noble gases (He, Ne, Ar, Kr, and Xe) is presented in Figures 1, 2, 3, 4, and 5, in order. Also included in Table 2 are prediction results from other second virial coefficient data of helium and xenon available in the literature, showing similar results.

Figure 1: Comparison of measured and calculated second virial coefficients for He.

Figure 2: Comparison of measured and calculated second virial coefficients for Ne.

Figure 3: Comparison of measured and calculated second virial coefficients for Ar.

Figure 4: Comparison of measured and calculated second virial coefficients for Kr.

Figure 5: Comparison of measured and calculated second virial coefficients for Xe.

In Table 3, deviations of regression results between observed and calculated viscosity data are presented on an RMSDr (root-mean-square deviation, relative) basis in %, which is defined by

Table 3: Deviations between experimental and calculated viscosities of pure noble gases.

Compound
Number of data points
Average RMSDr in η (%)
(K)
Reference

Present study
L-J
Kihara
Lucas
Simsci
Refprop

Regression results

Helium
9
5.27
18.3
13.2
3.23
2.05
2.83
80–1300
[24]

Neon
36
1.50
1.86
3.76
2.80
4.29
2.48
30–500
[24]

Argon
30
1.84
2.72
5.33
1.73
1.32
0.29
10–650
[24]

Krypton
19
2.87
12.2
8.56
1.23
0.91
1.85
150–600
[24]

Xenon
23
0.49
9.88
4.10
2.50
0.57
2.13
300–430
[24]

Average
117**
1.90
6.60
5.74
2.25
2.08
1.78

Prediction results

22
4.11
8.33
2.99
4.95
0.98
3.94
50–973
[26]

31
4.62
9.03
2.96
3.92
0.60
10.0
20–1000
[29]

1
4.44
8.82
0.76
2.87
0.64
1.32
300
[30]

8
2.34
6.52
4.03
6.74
0.91
0.84
298–1010
[31]

1
4.83
9.93
0.14
2.26
0.06
0.75
303
[32]

13
3.15
7.32
4.24
6.36
1.31
1.43
198–473
[33]

8
2.90
6.86
4.17
6.42
0.40
0.53
298–973
[34]

8
2.71
6.65
4.27
6.54
0.23
0.42
298–973
[35]

6
2.98
6.87
4.37
6.55
0.36
0.57
298–973
[36]

9
3.26
7.90
2.47
4.72
0.33
0.49
298–678
[37]

9
2.51
6.68
3.83
6.17
0.26
0.36
298–778
[38]

5
4.05
8.85
1.32
3.48
0.09
0.41
298–473
[39]

1
2.91
7.66
2.66
5.3
3.68
3.46
767
[40–42]

6
4.24
8.91
1.37
3.54
0.35
0.32
298–512
[43]

1
5.28
10.2
0.08
2.03
0.09
0.62
292
[44]

1
5.72
10.5
0.77
1.34
0.76
0.03
291
[45, 46]

Helium
2
6.29
11.1
1.40
0.98
1.39
0.76
291
[47]

2
5.06
10.1
12.7
2.12
0.13
0.60
293–303
[48]

4
5.48
10.4
0.95
1.82
0.51
0.81
237–308
[49]

6
5.91
10.7
1.51
0.36
1.50
2.50
72–291
[50]

10
5.01
9.61
4.31
1.77
3.08
30.8
14–293
[51]

5
5.30
10.2
0.46
2.23
1.84
1.83
297–523
[52]

2
5.07
10.1
0.13
2.11
0.12
0.59
293–303
[53]

1
4.85
9.99
0.02
2.16
0.14
0.54
303
[54]

10
4.94
9.75
1.01
2.86
1.40
1.38
293–523
[55]

39
6.84
10.4
2.73
6.18
5.94
22.0
14–973
[56]

74
3.40
7.42
3.73
5.97
0.87
0.58
100–1000
[57]

72
5.77
10.3
6.75
4.09
15.7
62.2
200–1000
[58]

8
2.69
6.63
4.28
6.55
0.24
0.44
298–973
[59]

11
4.70
9.22
1.89
3.51
0.46
0.49
100–600
[60]

19
5.32
9.72
3.05
4.30
0.35
1.68
80–1000
[61]

7
1.32
4.25
5.50
7.98
3.10
3.45
250–1000
[62]

13
3.83
8.54
1.89
4.34
2.64
2.53
373–973
[63]

Average
415*
4.49
8.76
3.75
4.82
3.97
15.1

Neon
27
2.04
1.54
8.00
3.14
3.04
15.2
50–973
[26]

6
1.58
1.22
7.79
2.45
1.47
2.20
100–600
[29]

8
1.58
0.72
8.36
3.65
0.57
27.4
298–973
[64]

13
1.83
1.04
8.60
3.54
1.04
21.2
298–973
[33]

8
2.07
1.24
8.91
4.21
0.92
27.1
298–973
[35]

6
2.22
1.37
8.97
4.30
1.09
29.8
298–973
[36]

8
2.27
1.39
9.05
4.36
1.08
26.9
298–973
[65]

5
1.13
0.46
7.91
1.82
1.07
2.72
298–473
[39]

7
1.80
1.00
8.66
3.64
0.91
11.3
298–778
[38]

9
1.67
0.90
8.47
2.90
1.15
3.52
298–673
[37]

3
1.07
2.10
5.89
0.82
0.66
0.47
298–348
[66]

3
4.46
5.53
2.74
4.21
3.99
2.91
298–348
[67, 68]

3
0.49
1.50
6.45
0.29
0.13
1.07
298–348
[69]

6
1.03
2.01
6.02
0.81
0.70
0.71
298–348
[40–42]

3
0.27
1.17
6.78
0.22
0.58
1.39
298–348
[70]

3
0.19
1.17
6.76
0.22
0.33
1.39
298–348
[71]

3
0.75
0.75
7.36
0.97
1.00
2.11
298–348
[72]

3
0.56
0.52
7.38
0.81
0.97
2.04
298–348
[73]

3
0.49
0.56
7.32
0.74
0.92
1.98
298–348
[74]

3
1.09
0.89
7.56
1.30
1.28
2.38
298–348
[75]

3
0.58
0.50
7.39
0.83
0.99
2.06
298–348
[76]

4
0.65
0.305
7.45
0.64
1.61
1.71
237–308
[49]

2
0.65
0.328
7.50
0.78
1.35
1.94
293–303
[53]

5
2.20
1.986
8.31
2.24
2.10
3.38
72–291
[77]

5
1.08
2.994
8.15
1.92
9.59
7.60
20–293
[51]

6
2.08
2.176
7.54
2.44
2.05
2.91
273–523
[52]

2
0.65
0.328
7.50
0.78
1.35
1.94
293–303
[53]

2
1.12
2.129
5.76
1.14
0.47
0.17
291
[47]

2
0.52
0.947
6.98
0.51
0.92
1.39
291
[45, 46]

52
0.98
1.568
7.83
1.68
6.64
13.4
20–1000
[56]

32
1.24
0.991
7.71
3.11
0.68
22.1
100–950
[57]

92
4.80
4.116
5.86
4.23
12.4
7.89
27–320
[58]

8
2.08
1.242
8.92
4.21
0.93
27.1
298–973
[59]

11
1.77
2.693
5.38
1.53
1.83
1.92
100–600
[60]

19
1.35
1.439
7.15
2.68
1.10
20.4
80–1000
[61]

1
1.28
2.29
5.60
1.30
0.60
0.14
291
[48]

4
1.04
2.09
5.92
0.57
1.51
0.71
293–523
[78]

Average
380*
2.25
2.07
7.24
2.87
4.83
12.0

Argon
22
2.37
2.77
7.56
2.17
2.23
2.14
50–973
[26]

63
2.78
2.25
5.85
2.38
2.98
1.94
90–500
[79]

28
1.63
1.99
6.96
1.73
1.48
1.06
87–1000
[29]

19
2.45
2.04
6.46
2.02
1.55
8.98
173–1597
[80]

1
1.71
0.48
6.00
0.18
0.17
0.02
298
[32]

8
1.14
2.59
8.39
2.39
0.58
1.47
298–973
[64]

11
0.88
2.64
8.05
1.96
0.87
0.90
298–473
[33]

6
1.20
2.92
8.25
2.23
0.97
0.61
298–767
[81]

9
1.48
3.43
8.85
2.86
1.20
3.30
298–1124
[31]

8
1.17
3.03
8.45
2.43
0.63
1.54
298–973
[35]

7
1.21
2.97
8.24
2.36
0.73
1.41
298–973
[65]

5
0.92
1.99
7.36
1.33
0.95
0.62
298–473
[82]

5
0.85
1.95
7.36
1.29
0.92
0.60
300–473
[83]

2
8.16
6.93
11.4
5.32
6.43
7.39
55–90
[84]

1
2.01
0.12
5.79
0.34
0.31
0.07
273
[85]

1
3.90
1.56
4.81
1.25
6.76
26.7
1373
[86]

1
1.98
0.21
5.77
0.41
0.40
0.19
293
[87]

1
2.99
0.62
5.40
0.89
5.27
12.3
1100
[40–42]

1
5.90
3.55
3.33
2.25
9.28
80.4
1873
[88]

9
0.94
2.79
8.22
2.08
0.80
0.49
298–773
[38]

6
1.18
2.84
8.17
2.16
0.85
0.45
298–770
[89]

8
0.93
2.68
8.07
1.95
0.93
0.46
298–673
[37]

21
2.21
0.83
5.73
0.83
0.89
0.39
202–394
[90]

5
12.8
13.9
17.4
13.6
12.2
11.4
775–1053
[40–42]

7
12.0
12.7
15.9
12.5
11.7
29.9
775–1838
[76]

5
3.75
1.70
5.30
1.20
5.79
36.5
569–1838
[91]

6
5.64
4.66
8.52
3.63
3.25
3.96
72–291
[50]

2
1.79
0.44
11.2
0.27
0.26
0.11
293–303
[48]

1
2.19
0.01
5.59
0.60
0.58
0.37
291
[45, 46]

5
5.22
4.39
8.44
3.36
3.00
3.72
72–291
[77]

4
2.00
0.48
5.92
0.55
1.08
1.46
293–523
[52]

2
1.72
0.50
6.00
0.23
0.22
0.09
293–303
[53]

2
1.90
0.31
5.83
0.37
0.36
0.20
293–303
[47]

8
2.09
0.49
5.83
0.64
1.10
1.47
293–523
[55]

46
13.3
13.4
15.0
13.3
13.3
13.3
90–1000
[56]

124
1.55
2.99
8.44
2.59
0.90
6.64
100–1600
[57]

68
2.21
1.35
5.62
1.55
2.17
1.04
87–700
[58]

135
1.53
2.67
7.81
2.21
1.46
1.34
80–1000
[92]

63
1.60
1.43
6.50
1.13
1.50
0.57
90–500
[93]

1
1.52
0.66
6.17
0.01
0.00
0.14
300
[94]

8
1.17
3.04
8.81
2.44
0.64
1.53
298–973
[59]

11
1.65
1.53
6.50
1.24
1.43
0.56
100–600
[60]

20
4.41
3.96
8.23
3.19
3.18
3.52
60–1000
[61]

7
0.85
1.43
7.06
0.82
1.29
2.98
250–1000
[62]

5
2.19
2.35
7.11
1.97
1.7
1.72
323–523
[95]

5
0.81
1.48
6.98
0.76
0.58
0.47
298–423
[96]

4
1.59
1.10
6.34
0.59
0.50
0.38
298–373
[97]

Average
787*
2.75
3.14
7.85
2.84
2.44
3.76

Krypton
29
3.41
6.47
8.26
3.40
4.00
59.7
50–3273
[26]

6
2.96
4.24
6.53
1.85
1.84
3.40
100–600
[29]

1
3.90
1.95
4.82
0.83
0.50
0.91
293
[73]

2
3.40
2.59
5.36
0.58
0.51
1.53
293–300
[30]

8
1.70
6.11
7.76
2.28
1.88
3.05
298–973
[64]

6
1.92
5.77
7.54
2.15
1.83
3.18
298–767
[81]

8
1.89
6.25
7.86
2.51
2.07
3.20
298–973
[65]

8
1.88
6.07
7.67
2.25
1.83
2.97
298–973
[35]

9
1.60
6.61
8.20
2.80
2.40
3.27
298–1151
[31]

9
1.87
5.82
7.53
2.05
1.71
3.10
298–778
[38]

6
1.98
5.68
7.45
2.06
1.75
3.09
298–770
[89]

1
5.59
0.36
3.27
2.47
2.13
0.70
293
[67, 68]

1
5.08
0.84
3.74
1.97
1.64
0.21
293
[66]

1
5.42
0.52
3.42
2.30
1.95
0.54
293
[76]

12
2.01
5.43
7.27
1.83
1.57
2.93
298–773
[98]

4
2.59
3.19
6.23
1.14
1.28
2.56
237–308
[49]

2
4.93
0.82
3.82
1.96
1.63
0.43
273–293
[52]

2
3.80
2.13
4.93
0.70
0.37
1.02
273–293
[54]

2
3.72
2.10
4.40
0.69
0.68
1.10
273–293
[45, 46]

1
4.34
1.49
3.82
1.27
0.90
0.48
293
[47]

15
2.54
5.66
7.18
2.0
1.87
5.45
293–1600
[56]

78
2.12
5.77
7.43
2.06
1.69
2.60
300–1300
[57]

71
4.64
4.98
7.24
3.83
3.77
4.28
119–950
[58]

235
2.02
6.98
8.64
3.61
3.57
12.5
80–2000
[92]

51
8.49
7.44
8.66
7.50
7.45
7.40
125–500
[93]

8
1.86
6.08
7.69
2.26
1.84
2.99
298–973
[59]

10
4.62
2.00
4.19
2.0
2.09
0.26
150–600
[60]

26
1.89
6.29
7.95
3.19
3.20
13.4
140–2000
[61]

Average
612*
3.03
6.18
7.94
3.42
3.32
10.2

22
5.51
7.31
5.84
2.10
9.51
12.3
50–973
[26]

6
5.06
6.39
5.33
1.86
6.59
12.0
100–600
[29]

17
2.09
4.22
4.46
2.18
1.34
6.71
173–797
[80]

8
3.13
7.60
5.87
1.42
2.11
7.94
298–973
[35]

9
3.04
7.43
5.86
1.34
2.24
4.06
298–778
[38]

7
1.24
2.65
3.75
2.51
0.46
5.94
202–298
[90]

4
3.75
5.22
6.18
2.20
3.08
2.30
237–308
[49]

3
0.53
2.62
2.99
2.32
0.74
2.90
273–373
[99]

Xenon
2
0.26
2.42
3.24
2.83
0.66
3.45
291
[45, 46]

9
2.45
6.88
5.27
1.07
1.42
8.06
293–1000
[56]

41
2.88
7.43
5.61
1.22
1.72
16.1
300–1300
[57]

67
2.32
5.41
4.68
1.97
1.32
12.0
165–1250
[58]

130
3.77
6.66
9.69
1.43
3.44
8.68
105–1000
[92]

47
3.54
5.07
5.27
3.74
3.34
6.56
170–500
[93]

8
3.11
7.52
5.77
1.60
2.08
7.96
298–973
[59]

9
1.99
3.64
3.42
3.04
1.80
3.59
200–600
[60]

14
2.45
5.87
4.93
1.85
1.42
8.25
180–1000
[61]

Average
403*
3.21
6.10
6.57
1.93
2.87
9.44

Overall
2597**
3.09
5.06
6.92
3.15
3.31
9.19

Number of data points for each noble gas. Total number of data points for all noble gases.

The average RMSDr value between a total of observed and regressed 117 viscosity data for five noble gases was found to be 1.90%, indicating that the present work is quite comparable to the Refprop Database correlations [22] 1.78% and is in better agreement with experimental data than any other existing methods: original Lennard-Jones potential 6.60%, Kihara potential with group contribution concept 5.74%, the corresponding states method of Lucas [23] 2.25%, and the Simsci Database correlations [24] 2.08%. Comparisons of the measured and calculated viscosities for pure noble gases (He, Ne, Ar, Kr, and Xe) are presented in Figures 6, 7, 8, 9, and 10, in order. Using the same set of potential parameters, other 2597 viscosity data available in the literature other than Stephan and Lucas [18] were reproduced with an overall average RMSDr 3.09% for all noble gases, noting that these results are more accurate than other existing investigations; original Lennard-Jones potential 5.06%, Kihara potential with group contribution method 6.92%, Lucas method 3.15%, Simsci correlations 3.31%, and Refprop correlations 9.19%.

Figure 6: Comparison of measured and calculated viscosities for He.

Figure 7: Comparison of measured and calculated viscosities for Ne.

Figure 8: Comparison of measured and calculated viscosities for Ar.

Figure 9: Comparison of measured and calculated viscosities for Kr.

Figure 10: Comparison of measured and calculated viscosities for Xe.

It is mentioned here that for each dilute noble gas at 0.1 MPa pressure, the Refprop Database provides selected viscosity data valid in specific temperature ranges, for example, 4–2219 K for helium, 27–1037 K for neon, 87–2992 K for argon, 119–1124 K for krypton, and 164–1100 K for xenon. In this work, their recommended viscosity data were fitted separately for each substance by least-squares analysis to obtain smoothing functions, usually reciprocal temperature expressions of third order, which were used to represent viscosity data at the same temperature as those of experimental data for the reasonable comparisons. Prediction results from the Refprop correlations are observed to be not in reliable agreement with measured viscosity data, especially near upper and lower limits of temperature ranges specified previously, as shown in Table 3. The Simsci Database [24] provides the smoothing viscosity function with four coefficients valid in specific temperature ranges: 20–2000 K for helium, 30–3272 K for neon, 83–3273 K for argon, 100–1500 K for krypton, and 100–1600 K for xenon.

The next stage of this work is to calculate other properties such as thermal conductivity and self-diffusion coefficient, not used for parameter determinations, using the same set of potential parameters determined earlier. As shown in Table 4, the overall average RMSDr value of 3.59% between a total of 3352 experimental and calculated thermal conductivities obtained by the proposed model is somewhat less reliable to the Simsci correlations 2.78%, but compares very well with the original Lennard-Jones potential 9.28% and the Refprop correlations 4.93%.

Table 4: Deviations between experimental and calculated thermal conductivities of pure noble gases.

Compound
Number of points
Average RMSDr in λ (%)
(K)
Reference

Present study
L-J
Simsci
Refprop

64
7.77
10.7
2.94
3.52
70–1000
[56]

8
2.61
5.16
0.78
1.03
298–1010
[31]

8
2.33
4.40
1.68
1.32
298–973
[34]

8
2.41
4.42
1.75
1.27
298–973
[36]

27
5.04
7.95
1.09
1.81
275–725
[57]

93
6.10
9.10
7.20
20.1
20–1000
[58]

8
2.47
4.67
1.30
0.95
298–973
[59]

4
10.2
13.5
4.98
4.16
303–363
[100]

2
7.72
11.2
2.35
1.25
303
[101]

25
3.66
6.21
1.41
4.52
50–973
[26]

6
4.01
6.76
1.19
1.91
100–600
[29]

11
4.95
7.65
1.44
1.95
100–600
[60]

Helium
29
6.90
9.60
2.50
2.80
80–1000
[102]

102
6.80
9.50
4.70
12.5
20–1000
[103]

14
0.41
0.64
0.24
0.31
350–1000
[104]

6
7.94
11.0
3.37
3.18
303–589
[105]

52
5.90
8.60
5.50
17.4
20–1000
[106]

5
11.0
14.0
6.88
7.20
250–600
[62]

1
5.40
8.76
0.09
1.04
596
[107]

1
7.24
10.3
1.72
0.53
291
[108]

4
10.4
13.6
5.11
4.19
308–363
[109]

2
4.68
7.32
1.32
0.07
302–793
[110]

1
6.33
9.56
0.92
0.09
311
[111]

1
6.57
10.0
1.20
0.08
302
[112]

13
2.16
4.39
1.06
0.29
373–973
[63]

Average
495*
5.90
8.59
3.94
9.47

8
1.52
0.62
1.07
2.91
298–973
[64]

8
2.50
1.16
0.66
3.87
298–973
[65]

1
1.04
0.54
1.10
2.53
291
[47]

8
2.74
1.41
0.66
4.11
298–973
[36]

29
3.50
2.53
0.94
4.11
90–1300
[56]

44
1.36
0.86
1.65
2.40
275–1275
[57]

111
2.83
2.65
5.95
12.7
27–1000
[58]

8
2.55
1.17
0.76
3.92
298–973
[59]

4
1.67
3.25
2.10
0.84
303–363
[100]

3
1.25
0.76
1.02
2.14
313–363
[113]

Neon
22
2.40
1.70
2.40
4.36
50–973
[26]

6
1.81
1.34
1.09
3.25
100–600
[29]

11
1.48
3.03
2.50
2.04
100–600
[60]

15
2.92
1.63
0.53
4.01
273–1100
[102]

111
2.17
2.35
1.59
4.48
27–1500
[114]

24
2.92
1.41
1.01
5.94
350–1500
[104]

4
1.39
2.96
1.50
0.37
303–318
[105]

1
1.36
2.90
1.53
0.14
311
[115]

1
0.20
1.39
0.32
1.73
296
[107]

1
1.04
0.53
1.11
2.54
291
[108]

2
5.86
4.27
4.28
7.50
302–793
[110]

Average
422*
2.41
2.08
2.63
6.20

21
2.09
2.72
1.07
1.00
202–394
[90]

3
2.15
3.97
0.48
5.08
90–273
[108]

1
1.75
2.95
4.90
4.23
1373
[116]

1
0.14
4.35
1.09
2.98
291
[47]

9
1.06
5.27
0.53
1.24
298–1124
[31]

8
1.21
5.11
0.49
1.17
298–973
[64]

8
1.53
5.71
0.66
0.99
298–973
[65]

8
1.48
5.66
0.77
1.09
298–973
[35]

66
1.76
4.50
1.25
1.60
90–2000
[56]

14
2.25
6.41
2.36
2.57
331–645
[117]

97
1.74
4.98
0.80
0.99
280–1390
[57]

122
2.55
6.17
1.26
5.23
87–3300
[58]

235
2.10
5.97
1.02
2.20
80–2000
[92]

63
2.74
3.09
3.08
5.05
90–500
[79]

63
3.82
4.80
3.40
3.53
90–500
[93]

8
1.36
5.50
0.54
1.10
298–973
[59]

3
0.77
4.70
1.37
2.70
313–363
[113]

Argon
29
2.63
5.64
2.48
7.10
50–3273
[26]

6
1.92
4.11
2.46
5.20
100–600
[29]

11
1.65
3.37
1.39
3.07
100–600
[60]

54
2.02
5.78
1.07
2.55
80–2000
[102]

118
1.67
4.82
1.21
2.14
88–2500
[103]

24
1.70
6.20
0.50
0.90
350–1500
[104]

4
2.73
3.57
1.65
0.77
273–593
[105]

4
0.49
4.15
0.68
2.20
308–363
[118]

3
1.08
3.52
0.21
1.81
300–340
[119]

8
0.79
4.42
1.20
2.51
295–420
[120]

60
2.03
4.95
1.16
2.04
90–2000
[106]

7
1.41
3.86
1.09
1.43
250–1000
[62]

1
1.40
3.19
0.25
1.52
311
[115]

1
1.14
3.41
0.06
1.93
296
[107]

4
0.50
4.15
0.67
2.20
308–363
[109]

2
3.10
7.10
2.40
2.70
302–793
[110]

1
1.40
3.20
0.25
1.52
311
[111]

22
1.46
4.21
0.84
3.31
87–1000
[29]

Average
1089*
2.11
5.22
1.31
2.82

Krypton
9
1.90
14.8
0.82
2.93
298–1149
[31]

8
1.80
14.8
0.88
3.10
298–973
[64]

8
1.65
15.1
1.24
3.44
298–973
[65]

18
3.20
19.5
4.18
6.57
125–1300
[56]

5
4.88
10.6
1.94
0.94
291–318
[57]

101
2.33
14.0
1.71
3.19
119–1900
[58]

6
3.12
13.4
2.25
3.45
100–600
[26]

235
2.60
15.5
2.50
4.50
80–2000
[92]

51
2.50
12.5
0.96
2.50
125–500
[93]

8
1.75
14.9
1.10
3.28
298–973
[59]

3
0.81
15.5
3.68
5.50
313–363
[113]

27
3.50
14.6
2.70
7.74
50–2273
[26]

10
4.62
10.8
2.46
0.64
150–600
[60]

109
5.80
14.4
5.33
6.25
120–2000
[114]

24
3.00
15.9
2.50
3.50
350–1500
[104]

5
5.76
9.80
2.67
0.78
303–318
[105]

4
4.24
11.3
1.35
1.06
308–363
[118]

1
4.38
11.0
1.30
0.65
311
[115]

1
4.16
10.9
1.17
0.81
291
[108]

4
4.21
11.3
1.34
1.11
308–363
[109]

2
4.06
17.4
5.03
6.98
302–793
[110]

Average
639*
3.22
14.7
2.70
4.35

7
1.29
14.2
9.68
2.32
202–298
[90]

8
3.28
14.2
2.65
1.43
298–973
[35]

24
7.30
17.7
1.02
4.55
175–1300
[56]

1
3.53
12.7
0.60
1.95
291
[57]

1
3.36
12.6
0.77
1.78
291
[108]

134
5.36
15.7
5.80
10.1
165–5000
[58]

230
4.87
15.3
4.83
1.96
105–2000
[92]

47
3.33
12.0
2.10
0.71
170–500
[93]

8
3.29
14.2
2.64
1.43
298–973
[59]

4
3.39
13.1
0.57
2.48
303–363
[100]

Xenon
3
8.35
17.6
4.75
7.55
313–363
[113]

29
5.84
14.9
8.18
2.90
50–3273
[26]

6
5.50
12.8
5.96
2.82
100–600
[29]

9
1.46
11.2
3.60
0.92
200–600
[60]

95
6.40
16.7
1.74
3.93
165–1500
[114]

24
8.00
19.0
1.20
5.10
350–1500
[104]

6
4.20
7.60
7.87
5.20
303–318
[105]

67
5.64
16.1
5.97
10.2
165–5000
[106]

2
9.00
19.0
3.90
7.01
302–793
[110]

1
0.80
9.10
4.95
2.06
311
[111]

1
7.30
16.3
3.43
6.00
302
[112]

Average
707*
5.26
15.4
4.39
4.76

Overall
3352**
3.59
9.28
2.78
4.93

Number of data points for each noble gas. Total number of data points for all noble gases.

Like the case of viscosities, the Refprop Database [22] provides dilute gas thermal conductivity data at 0.1 MPa suitable in specific temperature ranges: 4–1100 K for helium, 27–1039 K for neon, 87–2968 K for argon, 119–1100 K for krypton, and 164–1101 K for xenon. The procedure to produce thermal conductivity data is the same as that of viscosity. The Simsci Database also provides the same type of soothing thermal conductivity function, (24), in specific temperature ranges: 30–2000 K for helium, 30–3272 K for neon, 90–3273 K for argon, 120–2000 K for krypton, and 165–1500 K for xenon. Comparisons of the measured and calculated thermal conductivities for pure noble gases (He, Ne, Ar, Kr, and Xe) are depicted in Figures 11, 12, 13, 14, and 15, in order. As shown in Figures 14 and 15, Refprop Database shows considerably larger discrepancies between measured and calculated thermal conductivities for krypton and xenon than other methods particularly at high-temperature region, at which recommended data is not reliable, as specified by them.

Figure 11: Comparison of measured and calculated thermal conductivities for He.

Figure 12: Comparison of measured and calculated thermal conductivities for Ne.

Figure 13: Comparison of measured and calculated thermal conductivities for Ar.

Figure 14: Comparison of measured and calculated thermal conductivities for Kr.

Figure 15: Comparison of measured and calculated thermal conductivities for Xe.

A total of 237 self-diffusion coefficient data were next tested. As shown in Table 5, the overall average RMSDr value of 5.03% from all noble gases was obtained by this work, in which the result is in better agreement with experimental data than those of the original Lennard-Jones potential 8.73% and of the Fuller method [25] 10.7%. It is indicated that for the helium and neon gas, the proposed method is less accurate than the original Lennard-Jones potential. Comparisons of the measured and calculated self-diffusion coefficients for noble gases (He, Ne, Ar, Kr, and Xe) are depicted in Figures 16, 17, 18, 19, and 20, in order.

Table 5: Deviations between experimental and calculated self-diffusion coefficients of pure noble gases.

Compound
Number of points
Average RMSDr in (%)
(K)
Reference

Present study
L-J
Fuller

Prediction results

Helium
17
4.72
2.04
10.6
50–623
[26]

7
11.0
8.44
13.1
14–296
[56]

Average
24*
6.55
3.90
11.3

Neon
29
3.36
2.25
8.07
50–3273
[26]

17
6.85
4.93
13.2
77–6000
[56]

20
4.72
2.78
6.50
295–1219
[121]

1
4.55
7.77
5.96
293
[122]

Average
67*
4.67
3.17
8.88

Argon
29
2.87
4.70
10.9
50–323
[26]

12
4.10
3.51
14.2
90–326
[56]

Average
41*
3.23
4.35
11.9

Krypton
29
4.00
13.92
9.70
50–3273
[26]

18
6.83
16.93
3.69
199–6000
[56]

1
4.90
8.94
3.30
293
[123]

Average
48*
5.08
14.95
7.31

Xenon
29
6.27
13.9
16.2
50–3273
[26]

27
6.02
16.9
13.1
194–15000
[56]

1
1.06
7.40
17.2
293
[123]

Average
57*
6.06
15.2
14.8

Overall
237**
5.03
8.73
10.7

Number of data points for each noble gas. Total number of data points for all noble gases.

Figure 16: Comparison of measured and calculated self-diffusion coefficients for He.

Figure 17: Comparison of measured and calculated self-diffusion coefficients for Ne.

Figure 18: Comparison of measured and calculated self-diffusion coefficients for Ar.

Figure 19: Comparison of measured and calculated self-diffusion coefficients for Kr.

Figure 20: Comparison of measured and calculated self-diffusion coefficients for Xe.

3.2. Noble Gas Mixtures

The same set of potential parameters estimated from pure gas information was applied to predict mixture properties such as second cross-virial coefficient, mixture viscosity, mixture thermal conductivity, and binary diffusion coefficient with no additional parameters.

Table 6 shows that for the second cross-virial coefficient calculations, a total of 489 data of noble gas mixtures taken from the critical compilation of Dymond et al. [17] and from the Kestin et al. [26] were fitted to be overall average RMSD value of 5.73 cm³ mol⁻¹, while the 6.25 cm³ mol⁻¹ value was obtained by the smoothing functions of Dymond et al. in the same fashion as used in the pure gas calculations. And the 45.0 and 9.28 cm³ mol⁻¹ RMSD values were found by the original Lennard-Jones potential and the corresponding states method of Tsonopoulos, respectively. A comparison of measured and calculated second cross-virial coefficients of Ar + Kr mixture is shown in Figure 21.

Table 6: Deviations between experimental and predicted second cross-virial coefficients of noble gas mixtures.

Mixtures
Number of points
Average RMSD in (cm³ mol⁻¹)
(K)
Reference

Present study
L-J
Dymond et al.
Tsonopoulos

Mixtures of noble gases

Helium-neon
18
2.05
5.82
0.94
9.40
15–323
[2]

23
0.66
0.54
1.72
10.6
273–3273
[26]

Helium-argon
21
2.03
0.92
0.44
6.85
90–773
[2]

23
4.90
5.71
6.37
14.8
273–3273
[26]

Helium-krypton
15
5.66
3.49
0.99
1.84
90–323
[2]

23
8.54
12.0
12.0
15.9
273–3273
[26]

Helium-xenon
9
10.9
6.07
0.71
7.14
120–323
[2]

23
15.8
19.7
23.3
21.5
273–3273
[26]

Average
155*
6.15
7.12
6.75
11.9

Neon-argon
30
1.68
34.9
1.00
7.72
84–475
[2]

23
3.15
1.15
6.69
4.71
273–3273
[26]

Neon-krypton
48
5.15
48.6
2.76
14.3
100–475
[2]

23
3.86
3.29
8.07
6.69
273–3273
[26]

Neon-xenon
28
16.5
39.4
2.61
17.6
162–475
[2]

23
10.8
7.36
18.9
12.5
273–3273
[26]

Average
175*
6.68
27.2
5.77
11.2

Argon-krypton
50
3.26
150.3
1.82
2.51
108–695
[2]

23
1.58
16.7
2.93
4.53
273–3273
[26]

Argon-xenon
5
12.3
125.5
0.29
12.1
173–323
[2]

23
4.60
23.9
30.0
5.76
273–3273
[26]

Average
101*
3.63
89.9
8.43
4.18

Krypton-xenon
35
7.34
173.7
1.97
5.76
160–700
[2]

23
2.34
42.6
3.40
4.44
273–3273
[26]

Average
58*
5.36
121.7
2.54
5.24

Overall
489**
5.73
45.0
6.25
9.28

Number of data points for each gas mixture. Total number of data points for all gas mixtures.

Figure 21: Comparison of measured and calculated second cross-virial coefficients for Ar + Kr mixture.

Prediction results of noble gas mixture viscosities are presented in Table 7. A total of 2918 viscosity data points for all noble gas mixtures were calculated in this paper, indicating that the present study is in better agreement between experimental and calculated data than other methods on a criterion: 2.93% by the present model, 10.6% by the original Lennard-Jones potential, and 4.05% by the Lucas method. However, it is noted that for krypton and xenon mixture, this work is less reliable to the Lucas method. Figure 22 shows the comparison of measured and calculated viscosities of He + Ne mixture.

Table 7: Deviations between experimental and predicted mixture viscosities of noble gas mixtures.

Mixtures
Number of points
Average RMSDr in (%)
(K)
Reference

Present study
L-J
Lucas method

Helium-neon
87
6.24
13.6
8.85
50–3273
[26]

7
2.40
4.87
3.56
291
[47]

10
1.93
4.93
4.39
293
[53]

32
1.75
4.77
8.18
298–973
[36]

3
2.31
4.88
3.97
293
[40–42]

10
2.58
5.15
3.80
293–523
[124]

11
3.36
4.82
6.98
293–523
[55]

31
2.22
4.96
3.67
20–523
[56]

162
2.10
8.40
7.49
100–950
[57]

Helium-argon
87
4.49
7.31
4.95
50–3273
[26]

12
3.38
4.25
3.51
293–303
[125]

11
3.75
3.66
4.78
291
[47]

58
3.84
4.07
4.76
72–192
[50]

40
2.98
6.06
3.63
298–993
[31]

3
3.52
0.92
6.46
293
[78]

3
4.09
3.01
5.19
293
[40–42]

6
3.69
3.12
5.25
293–523
[55]

16
6.72
7.04
5.47
293–523
[56]

123
1.29
5.18
3.20
100–1500
[57]

28
3.14
3.23
4.45
298
[126]

12
1.26
2.44
4.57
300–1100
[127]

6
3.62
0.51
7.15
298
[128]

Helium-krypton
87
4.60
9.41
13.4
50–3273
[26]

9
4.44
7.72
9.63
291
[45, 46]

16
4.98
5.28
10.5
303
[54]

40
7.72
8.91
5.78
298–993
[31]

135
4.07
11.8
4.94
300–1000
[57]

Helium-xenon
87
3.85
9.63
13.9
50–3273
[26]

10
3.41
6.11
19.2
291
[45, 46]

18
2.50
8.85
13.6
298–778
[38]

90
2.34
9.46
12.7
300–750
[57]

Average
1250*
3.52
8.34
8.33

Neon-argon
87
1.91
3.95
4.23
50–3273
[26]

6
1.24
2.80
1.60
293
[53]

36
0.66
2.15
2.85
298–973
[64]

26
3.87
4.34
4.24
72–291
[77]

3
1.68
1.48
0.70
293
[78]

3
1.61
0.95
0.66
293
[40–42]

9
1.43
1.85
0.70
291
[47]

12
3.22
3.95
3.56
293–523
[55]

16
2.56
1.59
1.14
293–523
[56]

162
0.95
4.28
2.72
100–950
[57]

Neon-krypton
87
2.63
10.3
3.25
50–3273
[26]

9
1.28
8.04
2.44
291
[45, 46]

40
0.85
9.63
1.60
298–973
[65]

126
0.78
10.5
1.55
300–950
[57]

Neon-xenon
87
4.70
11.1
3.94
50–3273
[26]

8
0.85
7.30
6.42
291
[45, 46]

12
2.46
8.69
3.74
298–773
[38]

90
4.70
10.2
3.11
300–750
[57]

Average
819*
2.46
8.11
2.95

Argon-krypton
87
2.69
10.7
3.13
50–3273
[26]

36
0.71
10.5
1.81
298–973
[64]

8
2.20
8.40
1.76
291
[45, 46]

189
0.97
10.8
2.30
300–1300
[57]

Argon-xenon
87
4.07
11.3
2.84
50–3273
[26]

9
0.64
8.04
4.01
291
[45, 46]

12
1.87
9.15
1.61
298–773
[38]

34
2.46
10.5
2.62
173–299
[80]

189
2.71
13.2
1.42
173–1597
[57]

Average
651*
2.20
11.4
2.23

Krypton-xenon
87
3.97
14.5
2.71
50–3273
[26]

9
1.22
11.2
2.19
291
[45, 46]

12
2.18
14.1
1.18
298–773
[38]

90
3.52
14.7
2.98
300–750
[57]

Average
198*
3.53
14.4
2.72

Overall
2918**
2.93
10.6
4.05

Number of data points for each gas mixture.Total number of data points for all gas mixtures.

Figure 22: Comparison of measured and calculated viscosities for   He + Ne mixture.

Given in Table 8 are the resulting values between a total of 2092 measured and predicted mixture thermal conductivity data. Based on the overall average value of all noble gas mixtures, 7.65% of the present study is in slightly worse agreement between measured and predicted mixture thermal conductivities than 6.50% of the Wassiljewa equation [15] with the combinational factor of Mason and Saxena [16] and is more feasible to 10.8% of the original Lennard-Jones potential. A comparison of measured and calculated thermal conductivities of Ne + Kr mixture is shown in Figure 23.

Table 8: Deviations between experimental and predicted thermal conductivities of noble gas mixtures.

Mixtures
Number of points
Average RMSDr in (%)
(K)
Reference

Present study
L-J
Wassiljewaa

Helium-neon
32
9.69
12.2
5.98
298–973
[36]

7
2.30
4.68
1.59
291
[47]

138
5.62
8.08
3.14
275–1175
[57]

12
11.2
13.9
7.17
303–363
[100]

15
8.59
11.3
3.73
350–1050
[104]

66
7.65
10.1
4.28
50–973
[26]

7
12.6
12.2
6.08
298
[107]

8
7.14
7.62
6.27
302–793
[110]

Helium-argon
32
15.2
14.4
10.8
298–993
[31]

20
8.61
9.59
12.1
291
[47]

4
12.9
12.2
8.31
273
[56]

138
9.00
7.94
5.22
275–1025
[57]

15
10.8
9.46
5.98
350–1050
[104]

66
8.16
7.22
3.91
50–973
[26]

9
9.20
8.23
4.99
298
[107]

12
12.3
11.8
7.54
308–363
[109]

8
10.6
10.5
11.6
302–793
[110]

5
10.3
9.99
5.79
311
[111]

4
9.21
8.76
6.80
273
[129]

Helium-krypton
6
8.47
6.24
3.27
302
[112]

32
9.82
6.11
4.16
298–993
[31]

9
5.00
3.12
1.88
291
[57]

15
9.92
5.27
4.18
350–1050
[104]

66
8.76
5.81
3.68
50–973
[26]

9
5.39
3.09
2.29
291
[45, 46]

16
10.1
9.50
4.52
308–363
[109]

12
6.23
5.49
4.16
302–793
[110]

Helium-xenon
4
3.95
8.95
1.97
302
[112]

16
4.57
7.00
3.52
303–363
[100]

15
1.54
4.05
2.62
350–1050
[104]

66
7.19
8.93
4.22
50–973
[26]

10
6.19
10.02
3.61
291
[45, 46]

8
4.17
8.2
3.43
302–793
[110]

6
4.35
9.3
2.24
311
[111]

Average
888*
8.11
8.42
4.73

Neon-argon
32
3.82
4.91
4.91
298–973
[64]

9
3.59
5.91
5.08
291
[47]

12
2.87
5.15
4.36
313–363
[113]

24
3.51
5.70
6.54
350–1500
[104]

87
2.65
4.62
5.34
50–3273
[26]

11
0.84
2.23
1.17
311
[115]

8
0.77
2.64
2.12
298
[107]

8
5.22
7.33
7.34
302–793
[110]

Neon-krypton
32
1.37
4.94
2.10
298–973
[65]

198
25.7
32.2
28.1
275–1275
[57]

12
0.97
8.51
2.26
313–363
[113]

24
15.8
23.6
19.2
350–1500
[104]

87
3.35
7.55
2.58
50–3273
[26]

9
4.04
5.58
1.54
311
[115]

9
3.85
5.28
2.34
291
[45, 46]

6
6.10
10.4
6.27
302–793
[110]

Neon-xenon
9
2.11
4.50
2.18
291
[57]

12
5.24
8.08
4.49
303–363
[100]

24
4.52
7.59
5.03
350–1500
[104]

87
4.41
5.24
2.43
50–3273
[26]

9
1.90
4.42
2.04
291
[45, 46]

6
6.00
8.72
6.06
302–793
[110]

Average
715*
9.94
13.7
11.0

Argon-krypton
32
1.14
10.3
2.42
298–973
[64]

9
5.65
5.02
3.31
291
[57]

24
2.11
9.69
2.51
350–1500
[104]

87
2.73
10.1
3.32
50–3273
[26]

6
4.70
5.58
2.46
311
[115]

8
5.77
5.28
3.58
291
[45, 46]

12
3.52
7.30
1.50
308–363
[109]

6
3.32
13.2
5.55
302–793
[110]

Argon-xenon
9
2.63
5.59
2.94
291
[57]

8
10.5
17.1
10.0
311–366
[113]

24
1.14
8.46
1.38
350–1500
[104]

87
3.10
8.11
2.34
50–3273
[26]

9
2.87
5.43
3.19
291
[45, 46]

6
3.43
10.8
3.14
302–793
[110]

6
4.05
4.03
4.94
311
[111]

Average
333*
2.97
8.90
2.92

Krypton-xenon
5
4.42
14.9
3.91
302
[112]

9
1.87
12.5
1.03
291
[57]

12
7.14
18.3
7.24
313–363
[113]

24
2.35
13.7
2.37
350–1500
[104]

87
5.13
16.0
3.97
50–3273
[26]

9
1.76
12.4
0.92
291
[45, 46]

10
6.06
17.5
5.90
302–793
[110]

Average
156*
4.51
15.5
3.75

Overall
2092**
7.65
10.8
6.50

Number of data points for each mixture.

Total number of data points for all gas mixture mixtures.

aWassiljewa equation [15] with the combinational factor of Mason and Saxena [16].

Figure 23: Comparison of measured and calculated thermal conductivities for Ne + Kr mixture.

Included in Table 9 are the resulting values between a total of 1240 measured and predicted binary diffusion coefficient data for noble gas mixtures, in which 4.98 of the present study is in quite better agreement between measured and predicted binary diffusion coefficients than 7.95 of the original Lennard-Jones potential and 6.24 of the Fuller method. A comparison of measured and calculated binary diffusion coefficients for He + Ne mixture is shown in Figure 24.

Table 9: Deviations between experimental and predicted binary diffusion coefficients of noble gas mixtures.

Compound
Number of points
Average RMSDr in (%)
(K)
Reference

Present study
L-J
Fuller

Helium-neon
26
2.45
3.77
10.6
50–1773
[26]

7
1.04
3.09
8.31
200–673
[29]

1
5.20
1.32
12.7
1000
[130]

5
2.01
6.19
3.52
65–295
[131]

6
3.52
1.03
9.42
298–973
[36]

26
9.89
7.35
5.09
200–1250
[132]

20
5.27
4.93
12.7
297–1268
[121]

1
14.0
10.6
8.99
293
[133]

14
2.81
5.29
7.79
273–683
[56]

Helium-argon
29
2.35
2.72
7.04
50–3273
[26]

7
0.56
0.12
4.91
200–673
[29]

1
8.91
8.18
0.77
1000
[130]

3
3.15
4.11
2.93
276–346
[134]

8
2.78
3.57
4.06
298–498
[135]

1
1.66
2.67
0.67
298
[136]

1
0.91
0.08
1.87
298
[137]

3
3.84
3.71
2.87
287–418
[138]

6
8.30
7.80
1.68
298–1100
[139]

1
1.21
2.22
0.17
296
[140]

1
0.58
1.63
1.11
273
[12]

1
1.69
2.75
0.01
273
[55]

2
5.42
4.92
4.23
276–418
[18]

4
1.37
2.84
2.76
90–400
[131]

14
2.63
2.50
2.65
251–418
[141]

17
5.01
5.08
3.39
276–1100
[142]

8
5.69
5.05
0.65
298–993
[31]

26
6.02
5.59
2.13
200–1250
[132]

21
9.66
8.79
6.62
298–1272
[121]

84
8.65
8.68
5.25
118–4500
[56]

Helium-krypton
29
2.60
7.00
5.51
50–3273
[26]

7
2.44
5.18
6.12
200–673
[29]

1
0.88
8.40
0.34
1000
[130]

4
14.2
17.0
18.6
111–400
[131]

8
2.04
7.40
4.22
298–993
[31]

26
5.12
2.86
3.41
200–940
[132]

21
5.32
12.4
8.11
307–1274
[121]

4
3.48
4.02
6.69
273–318
[56]

Helium-xenon
29
7.21
13.1
5.35
50–3273
[26]

7
5.13
11.8
4.80
200–673
[29]

1
11.0
17.5
2.85
1000
[130]

4
6.21
12.6
6.93
169–400
[131]

6
1.69
8.48
3.59
298–778
[38]

26
9.4
15.6
4.93
200–940
[132]

21
9.96
16.3
6.65
297–1270
[121]

8
7.6
13.5
8.01
273–394
[56]

10
2.2
8.97
2.82
220–400
[143]

2
2.3
9.1
2.97
273–315
[144]

Average
557*
5.80
7.61
5.72

Neon-argon
29
2.03
3.08
5.38
50–3273
[26]

7
1.64
2.83
2.25
200–673
[29]

1
3.38
6.84
1.17
1000
[130]

4
2.60
3.14
3.36
90–400
[131]

8
0.76
3.61
2.50
298–973
[64]

5
5.42
1.66
4.03
90–473
[145]

4
2.77
1.72
2.10
273–318
[146]

26
1.86
3.76
1.51
200–940
[132]

20
5.89
7.29
4.91
297–1274
[121]

1
3.21
7.39
7.77
293
[147, 148]

19
3.15
3.25
3.52
194–680
[56]

5
5.47
0.79
1.06
277–365
[149]

Neon-krypton
29
2.06
10.4
6.99
50–3273
[26]

7
2.31
10.4
8.25
200–673
[29]

1
0.58
12.3
4.19
1000
[130]

4
4.37
9.32
6.83
111–400
[131]

4
6.11
7.25
6.32
273–318
[146]

8
2.75
9.80
5.78
298–973
[65]

26
3.73
13.0
8.44
200–940
[132]

20
5.72
9.45
5.31
269–1270
[121]

4
6.11
7.25
6.32
273–318
[56]

Neon-xenon
29
5.49
11.8
6.50
50–3273
[26]

7
4.82
11.9
7.49
200–673
[29]

1
6.22
13.3
3.79
1000
[130]

4
4.09
11.1
6.82
169–400
[131]

6
2.03
9.38
4.24
298–773
[38]

26
6.97
7.81
7.58
200–940
[132]

21
8.96
15.5
9.15
297–1270
[121]

4
1.14
8.37
4.82
273–318
[56]

5
5.59
12.6
9.16
275–362
[149]

Average
335*
4.15
8.18
5.73

Argon-krypton
29
3.49
7.91
10.0
50–3273
[26]

7
2.37
6.02
4.28
200–673
[29]

1
0.08
8.05
0.37
1000
[130]

1
0.33
7.03
0.26
273
[18]

4
2.26
4.42
5.99
169–400
[131]

8
8.60
5.25
19.2
77–600
[150]

9
4.01
7.89
3.39
199–473
[142]

5
5.85
8.91
5.25
273–473
[145]

4
3.85
3.69
2.98
273–318
[146]

8
1.87
8.82
3.42
298–973
[64]

11
2.23
4.79
2.89
200–400
[151]

26
9.30
15.3
10.6
200–940
[132]

21
2.88
9.59
4.20
300–1274
[121]

13
3.51
7.89
3.37
199–407
[56]

Argon-xenon
29
5.48
8.62
11.5
50–3273
[26]

7
2.46
6.39
6.68
200–673
[29]

1
7.99
13.0
3.23
1000
[130]

2
5.72
6.25
6.34
195–378
[18]

4
2.43
5.43
10.6
169–400
[131]

4
3.16
6.25
6.88
194–378
[152]

6
1.86
6.41
3.16
298–773
[38]

26
5.57
9.95
4.59
200–940
[132]

21
4.18
7.51
5.35
298–1272
[121]

19
3.79
7.11
9.07
173–1597
[153]

13
3.93
6.96
5.83
194–394
[56]

Average
279*
4.48
8.42
7.16

Krypton-xenon
29
4.46
7.05
12.1
50–3273
[26]

7
1.38
4.42
7.54
200–673
[29]

1
4.70
10.5
4.63
1000
[130]

4
1.38
3.27
12.2
169–400
[131]

6
1.10
4.72
2.88
298–773
[38]

22
7.00
11.1
7.52
297–1270
[121]

Average
69*
4.49
7.70
9.27

Overall
1240**
4.98
7.95
6.24

Number of data points for each mixture. **Total number of data points for all gas mixtures.

Figure 24: Comparison of measured and calculated binary diffusion coefficients for He + Ne mixture.

4. Conclusions

The three-parameter Lennard-Jones potential function has been empirically modified by introducing a temperature-correction parameter to the reduced temperature for the calculation of the thermodynamic property (second virial coefficient) and dilute transport properties (viscosity, thermal conductivity, and diffusion coefficient) of noble gases (He, Ne, Ar, Kr, and Xe) and their binary mixtures. Separately for each species, a single set of three potential parameters is estimated when the second virial coefficient and viscosity data are regressed together within the experimental errors. Obtained potential parameters are used to reproduce second virial coefficient and viscosity data and in all following predictions of other properties like thermal conductivity and diffusion coefficient. Noble gas mixture properties are calculated with the same set of parameters as well.

For the second virial coefficient calculations of pure noble gases, the three-parameter Lennard-Jones potential proposed in this paper is quite comparable to Dymond’s correlations and produces more accurate results than the original two-parameter Lennard-Jones potential, the Kihara potential with group contribution concept, and the Tsonopoulos correlations. For the viscosity calculations, the proposed model agrees better with the observed and calculated data than the original Lennard-Jones potential, the Kihara potential with group contribution method, the Lucas method, the Simsci Database, and the Refprop Database. Agreement between experimental and calculated thermal conductivities obtained by the proposed model is somewhat less accurate than the Simsci Database, but compares very well with the original Lennard-Jones potential and with the Refprop Database. Calculation of self-diffusion coefficients shows that this work is in better agreement with experimental data than those of the original Lennard-Jones potential and of the Fuller method, and that for helium gas and for neon gas results of the proposed method is less accurate than the original Lennard-Jones potential.

For mixture property predictions, the same set of potential parameters is applied with no additional parameters. Second cross-virial coefficient data calculated by the present study is less feasible to those of Dymond’s correlations and is in better agreement with the observed data than the original Lennard-Jones potential and the corresponding states method of Tsonopoulos. The present study is in better agreement between experimental mixture viscosity data than the original Lennard-Jones potential and the Lucas method, except for the mixture of kr + Xe. The present study is in somewhat worse agreement between measured and calculated mixture thermal conductivities than the Wassiljewa equation with the combinational factor of Mason and Saxena and is more accurate than the original Lennard-Jones potential. However, thermal conductivity of the He + Ne and Kr + Xe mixtures was reproduced better with the Wassiljewa equation than with the proposed method. The present study is in appreciably better agreement between the observed and calculated binary diffusion coefficients of noble gases mixtures than the original Lennard-Jones potential and the Fuller method.

In this work, the empirical approach of adding a temperature-correction parameter to the reduced temperature in the Lennard-Jones potential function has been tested with good success for the calculations of thermodynamic and transport property of noble gases and their binary mixtures in dilute gas region. Application of this approach to other substances such as polyatomic, polar gases will be tested in the near future.

Nomenclature

: | Combinational factor in  (18)
: | Defined by (13),
: | Second virial coefficient (cm³ mol⁻¹)
: | Diffusion coefficient (cm² sec⁻¹)
: | Boltzmann constant, 1.3806488·10⁻²³  (JK⁻¹)
: | Molecular weight (gram mol⁻¹)
: | Avogadro constant, 6.022·10²³  (mol⁻¹)
: | Pressure (bar)
: | Distance between molecular centers of molecules 1 and 2 (Ǻ)
: | Root-mean-square deviation (cm³ mol⁻¹)
: | Percent relative root-mean-square deviation, relative (%)
: | Absolute temperature (K)
: | Reduced temperature,
: | Intermolecular potential function
: | Mole fraction in the gas phase
: | Defined by  (10)
: | Defined by  (11)
: | Defined by  (12).

Greek Letters

: | Depth of the potential well [J]
: | Viscosity ()
: | Thermal conductivity (mW m⁻¹ K⁻¹)
: | Collision diameter (Ǻ)
: | Reduced temperature-correction parameter
: | Collision integral for diffusion coefficient
: | Collision integral for viscosity.

Acknowledgment

This paper was supported by the Konyang University Research Fund, in 2012-2013.

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