Reference Correlation for the Viscosity of Carbon Dioxide.
Arno D. Laesecke,Chris D. Muzny +1 more
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A comprehensive database of experimental and computed data for the viscosity of carbon dioxide (CO2) was compiled and a new reference correlation was developed, which is more accurate than with the previous correlations, and the covered pressure and temperature range is significantly extended.Abstract:
A comprehensive database of experimental and computed data for the viscosity of carbon dioxide (CO2) was compiled and a new reference correlation was developed. Literature results based on an ab initio potential energy surface were the foundation of the correlation of the viscosity in the limit of zero density in the temperature range from 100 to 2000 K. Guided symbolic regression was employed to obtain a new functional form that extrapolates correctly to 0 and to 10 000 K. Coordinated measurements at low density made it possible to implement the temperature dependence of the Rainwater-Friend theory in the linear-in-density viscosity term. The residual viscosity could be formulated with a scaling term ργ/T, the significance of which was confirmed by symbolic regression. The final viscosity correlation covers temperatures from 100 to 2000 K for gaseous CO2 and from 220 to 700 K with pressures along the melting line up to 8000 MPa for compressed and supercritical liquid states. The data representation is mo...read more
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Supercritical CO 2 : Properties and Technological Applications - A Review
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Reference Values and Reference Correlations for the Thermal Conductivity and Viscosity of Fluids
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TL;DR: In this paper, reference values and reference correlations for the thermal conductivity and viscosity of pure fluids are reviewed, and the criteria employed for the selection of reference values are also discussed; such values are typically adopted and promulgated by international bodies.
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References
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A New Equation of State for Carbon Dioxide Covering the Fluid Region from the Triple‐Point Temperature to 1100 K at Pressures up to 800 MPa
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Supporting Online Material for Distilling Free-Form Natural Laws from Experimental Data
Michael Schmidt,Hod Lipson +1 more
TL;DR: This work proposes a principle for the identification of nontriviality, and demonstrated this approach by automatically searching motion-tracking data captured from various physical systems, ranging from simple harmonic oscillators to chaotic double-pendula, and discovered Hamiltonians, Lagrangians, and other laws of geometric and momentum conservation.
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