Measurements of intra-diffusion coefficients for gaseous binary mixtures
Year: 2024
Type: article
Abstract: • NMR-compatible sapphire cell for high pressure gaseous intra-diffusion ( D *) measurements. • Linear relationship between 1/ D* and composition for all gas mixtures considered. • Agreement between intra- and mutual diffusion coefficients at infinite dilution. Benchtop pulsed field gradient (PFG) nuclear magnetic resonance (NMR) measurements of the intra-diffusion coefficient ( D i ∗ ) for binary gaseous mixtures are presented as a function of composition, for temperature and pressure conditions broadly relevant to industrial and geological processes. This required the design, construction, and application of a novel NMR-compatible sapphire sample cell. Measurements were performed for methane–nitrogen, methane-helium, and methane-hydrogen mixtures, with compositions down to 0.5 mol% methane that were resolvable in a reasonable time frame. Consequently, extrapolation to infinite dilution was enabled, with the resultant values of D i ∗ ( x i = 0) compared with relevant mutual diffusion coefficients ( D 12 ) from both literature and as estimated using kinetic theory (Thorne-Enskog equation). In the case of methane-helium mixtures, agreement was overwhelmingly within experimental uncertainty across the temperature–pressure parameter space explored, whereas in the case of methane–nitrogen, the determined values of D i ∗ ( x i = 0) were slightly larger than D 12 data as predicted by kinetic theory. In the case of methane-hydrogen mixtures, simultaneous measurements of both methane and hydrogen intra-diffusion coefficients were possible. Agreement between D i ∗ ( x i = 0) and kinetic theory was comfortably within experimental uncertainty in the case of hydrogen but deviated in the case of methane.
Source: Chemical Engineering Science
Institution: The University of Western Australia
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,930
OpenAlex ID: W4404504787