In an effort to reduce the experimental tests required to characterize the mixed-gas solubility and solubility-selectivity of materials for membrane separation processes, there is a need for reliable models which involve a minimum number of adjustable parameters. In this work, the ability of the Dual Mode Sorption (DMS) model to represent the sorption of CO2/CH4 mixtures in three high free volume glassy polymers, poly(trimethylsilyl propyne) (PTMSP), the first reported polymer of intrinsic microporosity (PIM-1) and tetrazole-modified PIM-1 (TZ-PIM), was tested. The sorption of gas mixtures in these materials suitable for CO2 separation has been characterized experimentally in previous works, which showed that these systems exhibit rather marked deviations from the ideal pure-gas behavior, especially due to competitive effects. The accuracy of the DMS model in representing the non-idealities that arise during mixed-gas sorption was assessed in a wide range of temperatures, pressures and compositions, by comparing with the experimental results available. Using the parameters obtained from the best fit of pure-gas sorption isotherms, the agreement between the mixed-gas calculations and the experimental data varied greatly in the different cases inspected, especially in the case of CH4 absorbed in mixed-gas conditions. A sensitivity analysis revealed that pure-gas data can be represented with the same accuracy by several different parameter sets, which, however, yield markedly different mixed-gas predictions, that, in some cases, agree with the experimental data only qualitatively. However, the multicomponent calculations with the DMS model yield more reliable results than the use of pure-gas data in the estimation of the solubility-selectivity of the material.
A simulation
strategy encompassing different scales was applied
to the systematic study of the effects of CO
2
uptake on
the properties of atactic polystyrene (aPS) melts. The analysis accounted
for the influence of temperature between 450 and 550 K, polymer molecular
weights (
M
w
) between 2100 and 31000 g/mol,
and CO
2
pressures up to 20 MPa on the volumetric, swelling,
structural, and dynamic properties of the polymer as well as on the
CO
2
solubility and diffusivity by performing molecular
dynamics (MD) simulations of the system in a fully atomistic representation.
A hierarchical scheme was used for the generation of the higher
M
w
polymer systems, which consisted of equilibration
at a coarse-grained level of representation through efficient connectivity-altering
Monte Carlo simulations, and reverse-mapping back to the atomistic
representation, obtaining the configurations used for subsequent MD
simulations. Sorption isotherms and associated swelling effects were
determined by using an iterative procedure that incorporated a series
of MD simulations in the
NPT
ensemble and the Widom
test particle insertion method, while CO
2
diffusion coefficients
were extracted from long MD runs in the
NVE
ensemble.
Solubility and diffusivity compared favorably with experimental results
and with predictions of the Sanchez–Lacombe equation of state,
which was reparametrized to capture the
M
w
dependence of polymer properties with greater accuracy. Structural
features of the polymer matrix were correctly reproduced by the simulations,
and the effects of gas concentration and
M
w
on structure and local dynamics were thoroughly investigated. In
the presence of CO
2
, a significant acceleration of the
segmental dynamics of the polymer occurred, more pronouncedly at low
M
w
. The speed-up effect caused by the swelling
agent was not limited to the chain ends but affected the whole chain
in a similar fashion.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.