Skip to main content
NIST Author Manuscripts logoLink to NIST Author Manuscripts
. Author manuscript; available in PMC: 2018 Feb 1.
Published in final edited form as: J Phys Chem Ref Data. 2017 Feb 8;46(1):013102. doi: 10.1063/1.4974325

Reference Correlation of the Thermal Conductivity of Cyclohexane from the Triple Point to 640 K and up to 175 MPa

A Koutian 1, M J Assael 1,b), M L Huber 2, R A Perkins 2
PMCID: PMC5455799  NIHMSID: NIHMS859824  PMID: 28584386

Abstract

New, wide-range reference equations for the thermal conductivity of cyclohexane as a function of temperature and density are presented. The equations are based in part upon a body of experimental data that has been critically assessed for internal consistency and for agreement with theory whenever possible. We estimate the uncertainty (at the 95% confidence level) for the thermal conductivity of cyclohexane from the triple point (279.86 K) to 650 K at pressures up to 175 MPa to be 4% for the compressed liquid and supercritical phases. For the low–pressure gas phase (up to 0.1 MPa) over the temperature range 280 K to 680 K, the estimated uncertainty is 2.5%. Uncertainties in the critical region are much larger, since the thermal conductivity approaches infinity at the critical point and is very sensitive to small changes in density.

Keywords: critical phenomena, cyclohexane, reference correlations, thermal conductivity, transport properties

1. Introduction

In a series of recent papers, new reference correlations for the thermal conductivity of many fluids (normal and parahydrogen,1 water,2 sulfur hexafluoride,3 toluene,4 benzene,5 n-hexane,6 n-heptane,7 methanol,8 ethanol,9 ortho-xylene, meta-xylene, para-xylene and ethylbenzene,10 cyclopentane, iso-pentane and n-pentane,11 carbon dioxide,12 and ethene and propene13), covering a wide range of conditions of temperature and pressure, were reported. In this paper, the work is extended to the thermal conductivity of cyclohexane.

The goal of this work is to critically assess the available literature data, and provide wide-ranging correlations for the thermal conductivity of cyclohexane that are valid over gas, liquid, and supercritical states, and incorporate densities provided by the equation of state of Zhou et al..14

2. Methodology

The thermal conductivity λ is expressed as the sum of three independent contributions, as

λ(ρ,T)=λo(T)+Δλ(ρ,T)+Δλc(ρ,T), (1)

where ρ is the density, T is the temperature, and the first term, λο(T) = λ(0, T), is the contribution to the thermal conductivity in the dilute-gas limit, where only two-body molecular interactions occur. The final term, Δλc(ρ, T), the critical enhancement, arises from the long-range density fluctuations that occur in a fluid near its critical point, which contribute to divergence of the thermal conductivity at the critical point. Finally, the term Δλ(ρ, T), the residual property, represents the contribution of all other effects to the thermal conductivity of the fluid at elevated densities.

The identification of these three separate contributions to the thermal conductivity and to transport properties in general is useful because it is possible, to some extent, to treat both λο(T) and Δλc(ρ, T) theoretically. In addition, it is possible to derive information about λο(T) from experiment. In contrast, there is almost no theoretical guidance concerning the residual contribution, Δλ(ρ, T); its evaluation is based entirely on experimentally obtained data.

The analysis described above should be applied to the best available experimental data for the thermal conductivity. Thus, a prerequisite to the analysis is a critical assessment of the experimental data. For this purpose, two categories of experimental data are defined: primary data employed in the development of the correlation, and secondary data used simply for comparison purposes. According to the recommendation adopted by the Subcommittee on Transport Properties (now known as The International Association for Transport Properties) of the International Union of Pure and Applied Chemistry, the primary data are identified by a well-established set of criteria.15 These criteria have been successfully employed to establish standard reference values for the viscosity and thermal conductivity of fluids over wide ranges of conditions, with uncertainties in the range of 1%. However, in many cases, such a narrow definition unacceptably limits the range of the data representation. Consequently, within the primary data set, it is also necessary to include results that extend over a wide range of conditions, albeit with a poorer accuracy, provided they are consistent with other more accurate data or with theory. In all cases, the accuracy claimed for the final recommended data must reflect the estimated uncertainty in the primary information.

3. The Correlation

Table 1 summarizes, to the best of our knowledge, the experimental measurements1638 of the thermal conductivity of cyclohexane reported in the literature. From the 23 sets shown in the table, 9 were considered as primary data.

TABLE 1.

Thermal-conductivity measurements of cyclohexane

1st author Year Publ. Technique employeda Purity (%) Uncertainty (%) No. of data Temperature range (K) Pressure range (MPa)
Primary Data
Watanabe16 2004 THW 99.8 0.4 12 281–319 0.1
Tanaka17 1988 THW 99.5 1 45 284–374 0.1–175
Li18 1984 THW 99.5 0.3 48 309–361 5–145
Kashiwagi19 1982 THW 99.0 2 4 303–333 0.1
Grigoriev20 1981 CC na 1.5 70 298–455 0.1–146
Naziev21 1974 CC na 1.6 141 293–633 0.1–50
Vines22 1954 HW na 1 7 373–435 0.1
Vines23 1953 HW na 0.3 17 348–383 0.0–0.1
Lambert24 1950 HW na 1 17 339–358 0.0–0.04
Secondary Data
Voss25 1989 THW na 2 24 326–450 0.4–10
Rowley26 1988 THW na 1.0 1 313 0.1
Shakhverdiev27 1980 CC na na 40 293–493 0.1–40
Nefedov28 1979 HF na 1.5 50 290–618 2–30
Andersson29 1978 THW 99.5 3 15 305–339 0.1–75
Mogilevskii30 1970 THW 99.9 na 4 282–298 0.1
Filippov31 1968 CC na 1.9 4 283–313 0.1
Barnette32 1967 PP na 1.5 1 298 0.1
Mukhamedzyanov33 1964 HW na na 9 303–349 0.1
Horrocks34 1963 THW na na 5 295–345 0.1
Briggs35 1957 CC na 3 5 293–333 0.1
Sakiadis36 1957 PP 99 1 8 309–348 0.1
Riedel37 1948 CC na 1.0 1 293 0.1
Moser38 1913 HW na na 1 375 0.1
a

CC, coaxial cylinder; HF, hot filament; HW, hot wire; na, not available; PP, parallel plate; THW, transient hot wire.

The measurements of Li et al.,18 extending to high pressures, were obtained in an absolute transient hot-wire instrument with an uncertainty of 0.3%. Measurements performed by this group (of W.A. Wakeham of Imperial College London) have already been successfully employed in many thermal conductivity reference correlations,2, 46, 1013 and are part of the primary dataset. The transient hot-wire technique was also employed by Watanabe and Kato,16 Tanaka et al.,17 and Kashiwagi et al.19 with corresponding uncertainties of 0.5, 1, and 2% respectively. Measurements from these three groups have already been successfully employed in previous correlations as primary data (Watanabe and Kato,16 in Refs. 4, 6, 7, 10, 11, Tanaka et al.17 in Refs. 6, 7 and Kashiwagi et al.19 in Refs. 47, 10).

Naziev et al.21 and Grigoriev and Ishkanov20 employed concentric-cylinder instruments to measure the thermal conductivity with 1.6 and 1.5% uncertainty, respectively. The measurements of Naziev et al.21 have successfully been employed in previous reference correlations,6, 7, 911, 13 and therefore here are also considered as primary data. The measurements of Grigoriev and Ishkanov20 were included in the primary data set as they extend to higher pressures (50 MPa) and higher temperatures (633 K).

Finally, the low-pressure vapor phase measurements of Vines,23 Vines and Bennett22 and Lambert et al.24 performed in hot-wire instruments with 0.3, 1, and 1% uncertainty, respectively, were also included in the primary data set. Measurements from both groups have previously successfully been employed in other thermal-conductivity reference correlations (Vines23 and Vines and Bennett22 in Refs. 2, 8, 11 and Lambert et al.24 in Refs. 68, 11, 13). The remaining sets were considered as secondary data.

Figures 1 and 2 show the range of the primary measurements outlined in Table 1, and the saturation curve may be seen in Fig. 2. Temperatures for all data were converted to the ITS–90 temperature scale.39 The development of the correlation requires accurate values for the density; Zhou et al.14 have reviewed the thermodynamic properties of cyclohexane and developed an accurate, wide–ranging equation of state. For the density, the estimated uncertainty of the new equation of state is less than 0.1% (liquid and vapor) up to 500 K, and 0.2% above 500 K, with higher uncertainties within the critical region. Between 283 and 473 K with pressures lower than 30 MPa, the uncertainty is as low as 0.03% in density in the liquid phase. We also adopt their values for the critical temperature, Tc, the critical density, ρc, and the triple–point temperature as 553.6 K, 271.33 kg m−3, and 279.86 K, respectively. Finally, the isobaric ideal–gas heat capacity was also obtained from the same source.

FIGURE 1.

FIGURE 1

Temperature–pressure range of the primary experimental thermal conductivity data for cyclohexane.

FIGURE 2.

FIGURE 2

Temperature–density range of the primary experimental thermal conductivity data for cyclohexane. (– –) saturation curve.

3.1. The dilute-gas limit

In order to be able to extrapolate the temperature range of the measurements, a theoretically-based scheme was preferred in order to correlate the dilute-gas limit thermal conductivity, λο(T), over a wide temperature range. The traditional kinetic approach for thermal conductivity results in an expression involving three generalized cross sections.40, 41 However, it is possible to derive an equivalent kinetic theory expression for thermal conductivity by making use of the approach of Thijsse et al.42 and Millat et al.,43 where one considers expansion in terms of total energy, rather than separating translational from internal energy as is done traditionally. In this case, the dilute-gas limit thermal conductivity, λο(T) (mW m−1 K−1), of a polyatomic gas can be shown to be inversely proportional to a single generalized cross section,4043 S(10E) (nm2), as

λo(T)=10005kB2(1+r2)T2mνoS(10E)fλ, (2)

where kB is the Boltzmann constant (1.380 648 52×10−23 J K−1), T (K) is the absolute temperature, fλ (−) is the dimensionless higher-order correction factor, m (kg) is the molecular mass of cyclohexane [(0.084 159 48 / 6.022 140 857×1023) kg], and νo=4kBT/πm(m/s) is the average relative thermal speed. The quantity r2 is defined by r2=2Cinto/5kB, where Cinto is the contribution of both the rotational, Croto, and the vibrational, Cvibo, degrees of freedom to the isochoric ideal-gas heat capacity Cvo.

The recent classical trajectory calculations4446 confirm that for most molecules studied, the higher-order thermal-conductivity correction factor is near unity. One can take advantage of this finding to define the effective generalized cross section Sλ (= S(10E)/fλ) (nm2), and rewrite Eq. (2) for the dilute-gas limit thermal conductivity of cyclohexane, λο(T) (mW m−1 K−1), as

λo(T)=0.0608085(Cpo/kB)TSλ. (3)

The ideal-gas isobaric heat capacity, Cpo(=Cinto+2.5kB) in (J/K), can be obtained from Zhou et al.14 as

CpokB=4+k=14vk(ukT)2exp(ukT)[exp(ukT)-1]2, (4)

where the values of the coefficients νk and uk are: ν1 = 0.83775, ν2 = 16.036, ν3 = 24.636, ν4 = 7.1715, u1 = 773 K, u2 = 941, u3 = 2185 K, u4 = 4495 K.

It has been previously noted,43 and recently confirmed41 for smaller molecules, that the cross section S(10E) exhibits a nearly linear dependence on the inverse temperature. Hence, in order to develop the correlation, we have fitted the effective cross section Sλ (nm2), obtained from the low-pressure (< 0.1 MPa) vapor measurements of Naziev et al.,21 Vines and Bennett,22 Vines,23 and Lambert et al.,24 by means of Eq. (3), to a polynomial in inverse temperature, resulting in the following expression,

Sλ=0.378+255.27/T. (5)

Equations (3)(5) form a consistent set of equations for the calculation of the dilute-gas limit thermal conductivity of cyclohexane.

The values of the dilute–gas limit thermal conductivity, λ0(T) in mW m−1 K−1, obtained by the scheme of Eqs. (3)(5), were fitted as a function of the reduced temperature Tr = T / Tc for ease of use to the following equation:

λ0(T)=6.52149-39.8399Tr+65.3275Tr2-202.857Tr3+78.7909Tr4-2.3043+1.83274Tr-2.66787Tr2+Tr3. (6)

Values calculated by Eq. (6) do not deviate from the values calculated by the scheme of Eqs. (3)(5) by more than 0.04% over the temperature range from 280 K to 680 K. Equation (6) is hence employed in the calculations that will follow.

The experimental dilute-limit thermal-conductivity values as well as the values calculated by Eq. (6) are shown in Fig. 3, while Fig. 4 presents the percentage deviations of the dilute-gas experimental data from the values calculated by Eq. (6). The selected data are represented within ±2.5%, which is commensurate with the uncertainty of the data. No obvious systematic trends are observed.

FIGURE 3.

FIGURE 3

Dilute-gas limit thermal-conductivity of cyclohexane as a function of temperature. Naziev et al.21 (◇), Vines and Bennett22 (●), Vines23 (○), Lambert et al.24 (▲), and Eq. (6) (––).

FIGURE 4.

FIGURE 4

Percentage deviations of the dilute-gas limit thermal-conductivity measurements of cyclohexane from the scheme of Eqs. (3)(5) as a function of temperature. Naziev et al.21 (◇), Vines and Bennett22 (●), Vines23 (○), Lambert et al.24 (▲), and Eq. (6) (––). Note that on the scale of this figure Eq. (6) is almost indistinguishable from the zero line representing the full correlation.

Therefore, based on the aforementioned discussion, Eqs. (3)(5) or Eq. (6) represent the dilute-gas limit thermal conductivity to within 2.5% at the 95% confidence level.

3.2. The residual thermal conductivity

The thermal conductivities of pure fluids exhibit an enhancement over a large range of densities and temperatures around the critical point and become infinite at the critical point. This behavior can be described by models that produce a smooth crossover from the singular behavior of the thermal conductivity asymptotically close to the critical point to the residual values far away from the critical point.4749 The density-dependent terms for thermal conductivity can be grouped according to Eq. (1) as [Δλ(ρ, T) + Δλc(ρ, T)]. To assess the critical enhancement theoretically, we need to evaluate, in addition to the dilute-gas thermal conductivity, the residual thermal-conductivity contribution. The procedure adopted during this analysis used ODRPACK (Ref. 50) to fit all the primary data simultaneously to the residual thermal conductivity and the critical enhancement, while maintaining the values of the dilute-gas thermal-conductivity data already obtained. The density values employed were obtained by the equation of state of Zhou et al.14 The primary data were weighted in inverse proportion to the square of their uncertainty.

The residual thermal conductivity was represented with a polynomial in temperature and density:

Δλ(ρ,T)=i=15(B1,i+B2,i(T/Tc))(ρ/ρc)i. (7)

Coefficients B1,i and B2,i are shown in Table 2.

TABLE 2.

Coefficients of Eq. (5) for the residual thermal conductivity of cyclohexane.

i B1,i (mW m−1 K−1) B2,i (mW m−1 K−1)
1 1.897 32×101 2.149 42×100
2 −6.278 89×101 3.154 82×101
3 1.007 48× 102 −6.290 82×101
4 −4.779 88×101 3.220 47×101
5 7.322 62×100 −4.878 01×100

3.3. The critical enhancement

The theoretically based crossover model proposed by Olchowy and Sengers4749 is complex and requires solution of a quartic system of equations in terms of complex variables. A simplified crossover model has also been proposed by Olchowy and Sengers.51 The critical enhancement of the thermal conductivity from this simplified model is given by

Δλc=ρCpRDkBT6πη¯ξ(Ω¯-Ω¯0), (8)

with

Ω¯=2π[(Cp-CvCp)arctan(q¯Dξ)+CvCpq¯Dξ] (9)

and

Ω¯0=2π[1-exp(-1(q¯Dξ)-1+(q¯Dξρc/ρ)2/3)]. (10)

In Eqs. (8)(10), kB is Boltzmann’s constant, η̄ (Pa s) is the viscosity, and Cp and Cv (J kg−1 K−1) are the isobaric and isochoric specific heat obtained from the equation of state. The correlation length ξ (m) is given by

ξ=ξ0(pcρΓρc2)ν/γ[ρ(T,ρ)p|T-(TrefT)ρ(Tref,ρ)p|T]ν/γ. (11)

As already mentioned, the coefficients B1,i and B2,i in Eq. (7) were fitted with ODRPACK (Ref. 50) to the primary data for the thermal conductivity of cyclohexane. This crossover model requires the universal amplitude, RD = 1.02 (−), and the universal critical exponents, ν = 0.63 and γ =1.239, and the system–dependent amplitudes Γ and ξ0. For this work, we adopted the values Γ = 0.058 (−), ξ0 = 0.230×10−9 m, using the universal representation of the critical enhancement of the thermal conductivity by Perkins et al.52 In the particular case of cyclohexane, as there were very few measurements in the critical region, it was preferred to adopt for the effective cutoff wavelength q¯D-1(m), the value of 6.68×10−10 m, proposed by the aforementioned scheme of Perkins et al.52

The viscosity required for Eq. (8) was calculated with the correlation of Tariq et al.53 The reference temperature Tref, far above the critical temperature where the critical enhancement is negligible, was calculated by Tref = (3/2) Tc,54 which for cyclohexane is 830.4 K.

Table 3 summarizes comparisons of the primary data with the correlation. We note that measurements of Naziev et al.21 over 650 kg/m3 were excluded, as they started to deviate from all the other measurements, and measurements of lower uncertainty exist in that region. We have defined the percentage deviation as PCTDEV = 100*(λexpλfit)/λfit, where λexp is the experimental value of the thermal conductivity and λfit is the value calculated from the correlation. Thus, the average absolute percentage deviation (AAD) is found with the expression AAD = (Σ|PCTDEV|)/n, where the summation is over all n points, and the bias percent is found with the expression BIAS = (ΣPCTDEV)/n. We estimate the uncertainty (at the 95% confidence level) for the thermal conductivity in the liquid and supercritical phases from the triple point (279.86 K) to 680 K and up to 175 MPa, to be 4%. Uncertainties in the critical region are much larger, since the thermal conductivity approaches infinity at the critical point and is very sensitive to small changes in density.

TABLE 3.

Evaluation of the cyclohexane thermal-conductivity correlation for the primary data.

1st Author Year Publ. AAD (%) BIAS (%)
Watanabe16 2004 0.21 −0.19
Tanaka17 1988 1.81 −1.39
Li18 1984 0.37 0.19
Kashiwagi19 1982 3.33 3.33
Grigoriev20 1981 1.43 −1.42
Naziev21 1974 2.06 0.45
Vines22 1954 2.02 −2.02
Vines23 1953 0.49 0.12
Lambert24 1950 1.70 1.70
Entire data set 1.41 0.28

Figure 5 shows the percentage deviations of all primary thermal–conductivity data from the values calculated by Eqs. (1), (6)(11), as a function of density. Figures 6 and 7 show the same deviations but as a function of temperature and pressure, respectively.

FIGURE 5.

FIGURE 5

Percentage deviations of primary experimental data of cyclohexane from the values calculated by the present model, Eqs. (1), (6)(11), as a function of density. Watanabe and Kato16 (●), Tanaka et al.17 (■), Li et al.18 (□;), Kashiwagi et al.19 (◆), Grigoriev and Ishkanov20 (◇), Naziev et al.21 (△), Vines and Bennett22 (⨉), Vines23 ( Inline graphic), Lambert et al.24 (+).

FIGURE 6.

FIGURE 6

Percentage deviations of primary experimental data of cyclohexane from the values calculated by the present model, Eqs. (1), (6)(11), as a function of temperature. Watanabe and Kato16 (●), Tanaka et al.17 (■), Li et al.18 (□), Kashiwagi et al.19 (◆), Grigoriev and Ishkanov20 (◇), Naziev et al.21 (△), Vines and Bennett22 (⨉), Vines23 ( Inline graphic), Lambert et al.24 (+).

FIGURE 7.

FIGURE 7

Percentage deviations of primary experimental data of cyclohexane from the values calculated by the present model, Eqs. (1), (6)(11), as a function of pressure. Watanabe and Kato16 (●), Tanaka et al.17 (■), Li et al.18 (□), Kashiwagi et al.19 (◆), Grigoriev and Ishkanov20 (◇), Naziev et al.21 (△), Vines and Bennett22 (⨉), Vines23 ( Inline graphic), Lambert et al.24 (+).

Table 4 shows the average absolute percentage deviation (AAD) and the bias for the secondary data. Finally, Figs. 8 and 9 show plots of the thermal conductivity of cyclohexane as a function of the temperature for different pressures, and as a function of the density for different temperatures.

TABLE 4.

Evaluation of the cyclohexane thermal–conductivity correlation for the secondary data.

1st Author Year Publ. AAD (%) BIAS (%)
Voss25 1989 7.19 −7.19
Rowley26 1988 0.36 0.36
Shakhverdiev27 1980 6.00 6.00
Nefedov28 1979 11.37 −11.35
Andersson29 1978 2.99 −2.82
Mogilevskii30 1970 1.69 1.69
Filippov31 1968 4.37 4.37
Barnette32 1967 2.83 2.83
Mukhamedzyanov33 1964 3.45 3.45
Horrocks34 1963 1.16 1.16
Briggs35 1957 6.52 6.52
Sakiadis36 1957 2.35 2.35
Riedel37 1948 4.04 4.04
Moser38 1913 8.66 −8.66

FIGURE 8.

FIGURE 8

Thermal conductivity of cyclohexane as a function of temperature for different pressures.

FIGURE 9.

FIGURE 9

Thermal conductivity of cyclohexane as a function of density for different temperatures.

3.1.4. Recommended Values

In Table 5, recommended values for the thermal conductivity of cyclohexane are shown. For checking computer implementations of the correlation, a point is provided for testing code with critical enhancement at 554.0 K and 350.0 kg m−3 (4.1718 MPa), where the thermal conductivity is 79.66 mW m−1 K−1; the dilute–gas thermal conductivity, λο(554 K) = 43.09 mW m−1 K−1, the residual term Δλ(350 kg m−3, 554 K) = 22.03 mW m−1 K−1, and the critical enhancement term, Δλc(350.0 kg m−3, 554 K) = 14.54 mW m−1 K−1. The viscosity used in the calculation of the enhancement for this state point is 44.42 μPa s, obtained from the correlation of Tariq et al.53

TABLE 5.

Recommended values of cyclohexane thermal conductivity (mW m−1 K−1)

Pressure (MPa) Temperature (K)
300 400 500 600 700
0 11.0 21.7 35.0 50.2 66.4
0.1 117.6 21.9 35.2 50.4 66.5
50 116.0 110.0 108.8 110.6
100 130.2 124.4 124.9 128.1
150 143.2 136.6 137.3 141.2

4. Conclusion

New, wide-ranging reference equations for the thermal conductivity of cyclohexane were presented. The equations are based in part upon a body of experimental data that has been critically assessed for internal consistency and for agreement with theory whenever possible. In the case of the dilute–gas thermal conductivity, a theoretically based correlation was adopted in order to guide extrapolation behavior. In the critical region, the enhancement of the thermal conductivity is well represented by a theoretically based model.52 The remaining contribution to the thermal conductivity was obtained by fitting critically-assessed data to an empirical equation that is a function of temperature and density.

We estimate the uncertainty (at the 95% confidence level) for the thermal conductivity from the triple point (279.86 K) to 650 K at pressures up to 175 MPa to be 4% for the compressed liquid and supercritical phases. For the low–pressure gas phase (up to 0.1 MPa) over the temperature range 280 K to 680 K, the estimated uncertainty is 2.5%. The equation of state of Zhou et al.14 is valid from the triple point (279.86 K) to 700 K at pressures up to 250 MPa. The correlation behaves in a physically reasonable manner and we feel it can be used over this entire range, although the uncertainty will be larger where there were no experimental data. Uncertainties in the critical region are much larger, since the thermal conductivity approaches infinity at the critical point and is very sensitive to small changes in density.

Footnotes

a)

Partial contribution of NIST, not subject to copyright in the U.S.

References

  • 1.Huber ML, Perkins RA, Laesecke A, Friend DG, Sengers JV, Assael MJ, Metaxa IN, Vogel E, Mares R, Miyagawa K. J Phys Chem Ref Data. 2009;38:101. [Google Scholar]
  • 2.Huber ML, Perkins RA, Friend DG, Sengers JV, Assael MJ, Metaxa IN, Miyagawa K, Hellmann R, Vogel E. J Phys Chem Ref Data. 2012;41:033102. [Google Scholar]
  • 3.Assael MJ, Koini IA, Antoniadis KD, Huber ML, Abdulagatov IM, Perkins RA. J Phys Chem Ref Data. 2012;41:023104. [Google Scholar]
  • 4.Assael MJ, Mylona SK, Huber ML, Perkins RA. J Phys Chem Ref Data. 2012;41:023101. [Google Scholar]
  • 5.Assael MJ, Mihailidou EK, Huber ML, Perkins RA. J Phys Chem Ref Data. 2012;41:043102. [Google Scholar]
  • 6.Assael MJ, Mylona SK, Huber ML, Perkins RA. J Phys Chem Ref Data. 2013;42:013106. [Google Scholar]
  • 7.Assael MJ, Bogdanou I, Mylona SK, Huber ML, Perkins RA, Vesovic V. J Phys Chem Ref Data. 2013;42:023101. [Google Scholar]
  • 8.Sykioti EA, Assael MJ, Huber M, Perkins R. J Phys Chem Ref Data. 2013;42:043101. doi: 10.1063/1.4940892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Assael MJ, Sykioti EA, Huber ML, Perkins RA. J Phys Chem Ref Data. 2013;42:023102. doi: 10.1063/1.4940892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Mylona SK, Antoniadis KD, Assael MJ, Huber ML, Perkins RA. J Phys Chem Ref Data. 2014;43:043104. [Google Scholar]
  • 11.Vassileiou CM, Assael MJ, Huber ML, Perkins RA. J Phys Chem Ref Data. 2015;44:033102. [Google Scholar]
  • 12.Huber ML, Sykioti EA, Assael MJ, Perkins RA. J Phys Chem Ref Data. 2016;45:013102. doi: 10.1063/1.4940892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Assael MJ, Koutian A, Huber ML, Perkins RA. J Phys Chem Ref Data. 2016;45:033104. doi: 10.1063/1.4958984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zhou Y, Jun L, Penoncello SG, Lemmon EW. J Phys Chem Ref Data. 2014;43:043105. [Google Scholar]
  • 15.Assael MJ, Ramires MLV, Nieto de Castro CA, Wakeham WA. J Phys Chem Ref Data. 1990;19:113. [Google Scholar]
  • 16.Watanabe H, Kato H. J Chem Eng Data. 2004;49:809. [Google Scholar]
  • 17.Tanaka Y, Hase T, Kubota H, Makita T. Ber Bunsenges Phys Chem. 1988;92:770. [Google Scholar]
  • 18.Li SFY, Maitland GC, Wakeham WA. Int J Thermophys. 1984;5:351. [Google Scholar]
  • 19.Kashiwagi H, Oishi M, Tanaka Y, Kubota H, Makita T. Int J Thermophys. 1982;3:101. [Google Scholar]
  • 20.Grigoriev BA, Ishkanov AM. Inz - Fiz Zh. 1981;41:491. [Google Scholar]
  • 21.Naziev YM, Abasov AA, Nurberdiev AA, Shakhverdiev AN. Zh Fiz Khim. 1974;48:434. [Google Scholar]
  • 22.Vines RG, Bennett LA. J Chem Phys. 1954;22:360. [Google Scholar]
  • 23.Vines RG. Aust J Chem. 1953;6:1. [Google Scholar]
  • 24.Lambert JD, Staines EN, Woods SD. Proc R Soc A. 1950;200:262. [Google Scholar]
  • 25.Voss SF, Sloan ED. Int J Thermophys. 1989;10:1029. [Google Scholar]
  • 26.Rowley RL, Gubler V. J Chem Eng Data. 1988;33:5. [Google Scholar]
  • 27.Shakhverdiev AN, Naziev YM. Izv Vyssh Uchebn Zaved, Neft Gaz. 1980;10:65. [Google Scholar]
  • 28.Nefedov SN, Filippov LP. Inz - Fiz Zh. 1979;37:674. [Google Scholar]
  • 29.Andersson P. J Phys Chem Solids. 1978;39:65. [Google Scholar]
  • 30.Mogilevskii BM, Surin VG, Chudnovskii AF. Fiz Tverd Tela. 1970;12:1556. [Google Scholar]
  • 31.Filippov LP. Int J Heat Mass Transfer. 1968;11:331. [Google Scholar]
  • 32.Barnette WJ. PhD Thesis. Louisiana State University; 1967. [Google Scholar]
  • 33.Mukhamedzyanov GK, Usmanov AG, Tarzimanov AA. Izv Vyssh Uchebn Zaved, Neft Gaz. 1964;7:70. [Google Scholar]
  • 34.Horrocks JK, McLaughlin E, Ubbelohde AR. Trans Far Soc. 1963;59:1110. [Google Scholar]
  • 35.Briggs DKH. Ind Eng Chem. 1957;49:418. [Google Scholar]
  • 36.Sakiadis BC, Coates J. AlChE J. 1957;3:121. [Google Scholar]
  • 37.Riedel L. PhD thesis. Technischen Hochschule Karlsruhe; Karlsruhe, Germany: 1948. [Google Scholar]
  • 38.Moser E. PhD thesis. Friedrich - Wilhelms University; Berlin, Germany: 1913. [Google Scholar]
  • 39.Preston-Thomas H. Metrologia. 1990;27:3. [Google Scholar]
  • 40.Hellmann R, Bich E, Vogel E, Vesovic V. J Chem Eng Data. 2012;57:1312. [Google Scholar]
  • 41.McCourt FRW, Beenakker JJM, Köhler WE, Kučšer I. Nonequilibrium Phenomena in Polyatomic Gases. Clarendon Press; Oxford: 1990. [Google Scholar]
  • 42.Thijsse BJ, Thooft GW, Coombe DA, Knaap HFP, Beenakker JJM. Physica A. 1979;98:307. [Google Scholar]
  • 43.Millat J, Vesovic V, Wakeham WA. Physica A. 1988;148:153. [Google Scholar]
  • 44.Bock S, Bich E, Vogel E, Dickinson AS, Vesovic V. J Chem Phys. 2004;120:7987. doi: 10.1063/1.1687312. [DOI] [PubMed] [Google Scholar]
  • 45.Hellmann R, Bich E, Vogel E, Dickinson AS, Vesovic V. J Chem Phys. 2009;130:124309. doi: 10.1063/1.3098317. [DOI] [PubMed] [Google Scholar]
  • 46.Hellmann R, Bich E, Vogel E, Vesovic V. Phys Chem Chem Phys. 2011;13:13749. doi: 10.1039/c1cp20873j. [DOI] [PubMed] [Google Scholar]
  • 47.Olchowy GA, Sengers JV. Phys Rev Lett. 1988;61:15. doi: 10.1103/PhysRevLett.61.15. [DOI] [PubMed] [Google Scholar]
  • 48.Mostert R, van den Berg HR, van der Gulik PS, Sengers JV. J Chem Phys. 1990;92:5454. [Google Scholar]
  • 49.Perkins RA, Roder HM, Friend DG, Nieto de Castro CA. Physica A. 1991;173:332. [Google Scholar]
  • 50.Boggs PT, Byrd RH, Rogers JE, Schnabel RB. ODRPACK, Software for Orthogonal Distance Regression, NISTIR 4834, v2.013. National Institute of Standards and Technology; Gaithersburg, MD: 1992. [Google Scholar]
  • 51.Olchowy GA, Sengers JV. Int J Thermophys. 1989;10:417. [Google Scholar]
  • 52.Perkins RA, Sengers JV, Abdulagatov IM, Huber ML. Int J Thermophys. 2013;34:191. [Google Scholar]
  • 53.Tariq U, Jusoh ARB, Riesco N, Vesovic V. J Phys Chem Ref Data. 2014;43:033101. [Google Scholar]
  • 54.Vesovic V, Wakeham WA, Olchowy GA, Sengers JV. J Phys Chem Ref Data. 1990;19:763. [Google Scholar]

RESOURCES