Handbook of Physical Properties of Liquids and Gases

Vargaftik, N. B.; Vinogradov, Yurii K.; Yargin, Vadim S.

doi:10.1007/978-3-642-52504-9

Cited by 785 publications

(655 citation statements)

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“…The uncertainty of temperature measurements was less than 15 mK. The heat capacity of the empty calorimeter C 0 was determined experimentally by using a reference fluid (helium-4) with well-known (uncertainty is 0.1%) isobaric heat capacities [91] in the temperature range up to 1000 K at pressures up to 20 MPa. The measured values of empty calorimeter heat capacity C 0 range from 60 to 70 J · K −1 depending on temperature.…”

Section: Isochoric Heat-capacity Measurementsmentioning

confidence: 99%

Thermodynamic Properties of Methanol in the Critical and Supercritical Regions

et al. 2005

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The isochoric heat capacity of pure methanol in the temperature range from 482 to 533 K, at near-critical densities between 274.87 and 331.59 kg · m −3 , has been measured by using a high-temperature and high-pressure nearly constant volume adiabatic calorimeter. The measurements were performed in the singleand two-phase regions including along the coexistence curve. Uncertainties of the isochoric heat capacity measurements are estimated to be within 2%. The single-and two-phase isochoric heat capacities, temperatures, and densities at saturation were extracted from experimental data for each measured isochore. The critical temperature (T c = 512.78 ± 0.02 K) and the critical density (ρ c = 277.49 ± 2 kg · m −3 ) for pure methanol were derived from the isochoric heat-capacity measurements by using the well-established method of quasi-static thermograms. The results of the C V V T measurements together with recent new experimental PVT data for pure methanol were used to develop a thermodynamically self-consistent Helmholtz free-energy parametric crossover model, CREOS97-04. The accuracy of the crossover model was confirmed by a comprehensive comparison with available experimental data for pure methanol and values calculated with various multiparameter equations of state and correlations. In the critical and supercritical regions at 0.98T c T 1.5T c and in the density range 0.35ρ c ρ 1.65ρ c , CREOS97-04 represents all available experimental thermodynamic data for pure methanol to within their experimental uncertainties.

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Section: Isochoric Heat-capacity Measurementsmentioning

confidence: 99%

Thermodynamic Properties of Methanol in the Critical and Supercritical Regions

et al. 2005

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“…where D (i,j) 0 is a reference diffusion coefficient at a reference state given by the pressure and temperature values p 0 and T 0 ( [20]). Due to the constraint on the sum of mass diffusive fluxes, …”

Section: Methodsmentioning

confidence: 99%

Discontinuous Galerkin Computation of Gaseous Mixture Coaxial Jets

Franchina¹,

Savini²,

Bassi³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. A novel approach based upon Discontinuous Galerkin (DG) discretization, applied to the divergence form of the multicomponent Navier-Stokes equations, is here presented and used to compute non reactive turbulent axisymmetric gaseous jets. The original key feature is the use of L 2 -projection form of the (perfect gas) equation of state. This choice mitigates problems typically encountered by the front-capturing schemes in computing multicomponent flow fields, i.e. spurious oscillations across material and contact surfaces where the mixture composition is changing. The solver makes also use of a shock-capturing technique based on artificial dissipation selectively added into the equations and tuned in connection with the magnitude of inviscid residuals of the equations and on suitable coefficients accounting for the variation of the unknown variables within and across grid elements. A simple limiting procedure is introduced in order to avoid the occurrence of unphysical gas properties due to negative and/or greater that one mass fractions values within the domain. The DG code based on the proposed novel technique for multicomponent flow computation is here employed to study the mixing mode and the preferential diffusion mechanism of a mixture jet of helium and carbon dioxide in a surrounding flow of air, both in laminar and turbulent flow regimes. Mass diffusion is modelled by means of Fick's first law and use is made of constant Prandtl and Schmidt numbers in Wilcox's (2008) k − ω model. Third-order accurate results are presented, discussed and compared with the available experimental data. They confirm the possible existence in coaxial jets of different periodic flow structures, greatly affecting mixing rates, and different species diffusive mass fluxes. The relative importance of both phenomena depends on the flow regime and its characteristics. The tests carried out give at the same time indications about the accuracy of the proposed method and its effectiveness in computing complex unsteady flow fields.

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“…It should be noted that the hydrogen samples heated at a rate of 2°C/min (curves 1 and 2 of Figure 24) are more isothermal than the argon samples heated at the same rate (curves 3-5 of Figure 24). The thermal expansion coefficient of hydrogen is ten times greater than that of argon [37], which causes the hydrogen samples to be more isothermal than the argon samples during heating. Figure 25 (a-b) illustrates the measured dimensionless molecular weight from select pure argon expansion tests and all hydrogen gas expansion tests plotted as a function of temperature during heating.…”

Section: Pure Gas Expansion Measurements During Heatingmentioning

confidence: 99%

Measurement of Gas Evolution from PUNB Bonded Sand as a Function of Temperature

Samuels

2012

Inter Metalcast

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Handbook of Physical Properties of Liquids and Gases

Cited by 785 publications

References 0 publications

Thermodynamic Properties of Methanol in the Critical and Supercritical Regions

Thermodynamic Properties of Methanol in the Critical and Supercritical Regions

Discontinuous Galerkin Computation of Gaseous Mixture Coaxial Jets

Measurement of Gas Evolution from PUNB Bonded Sand as a Function of Temperature

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