The performance of six static mixer (Kenics, Inliner, LPD, Cleveland, SMX and ISG) are compared using 3D numerical simulations in laminar creeping flow regime. Numerical pressure drop results are tested against experimental ones, showing overall a good agreement. Besides pressure drop, four criteria (extensional efficiency, stretching, mean shear rate and intensity of segregation) are chosen to compare the static mixers. It appears that Kenics, Inliner, LPD and Cleveland mixers are rather similar. The ISG mixer seems better than this first group of mixers, but pressure drop is too high compared to other advantages. From our numerical results, SMX appears to be the most efficient of the six compared static mixers.
A three-step sintering mechanism is proposed for Co-based
catalysts
under Fischer–Tropsch reaction conditions. This mechanism includes
an intermediate formation of oxide layer on cobalt metal nanoparticles
in the presence of water. The partially reversibly oxidized surface
accelerates sintering by both reducing the surface energy and enhancing
the diffusion rates of cobalt particles. The proposed mechanism is
then employed for a fixed-bed unsteady state reactor. The effect of
particle growth on the catalytic activity was analyzed within a diverse
range of operating conditions (syngas ratio = 1.5–4, water
co-feed ratio = 0–6, inert co-feed ratio = 0–6). It
is found that, at the same gas space velocity, sintering proceeds
faster at higher H2/CO ratios. At the same initial conversion,
a low H2/CO syngas ratio increases sintering severity,
i.e., catalyst deactivation due to the crystallite growth, as it brings
about higher relative water partial pressure. Dilution of syngas with
different amounts of inert gas does not affect the cobalt sintering
rate. Cobalt sintering proceeds more rapidly if water is co-fed during
the reaction.
A comprehensive kinetic model is developed for the suspension free-radical polymerization of vinyl chloride (VC) initiated by a mixture of monofunctional and bifunctional initiators. The model predicts the monomer concentrations in the gas, aqueous, and polymer phases; the overall monomer conversion; the polymerization rate; the polymer chain structural characteristics (e.g., number-and weight-average molecular weights, short chain branching, and number of terminal double bonds); the reactor temperature and pressure; and the coolant flow rate and temperature in the reactor's jacket over the whole batch polymerization cycle. The capabilities of the model are demonstrated by a direct comparison of model predictions with experimental data on monomer conversion, number-and weight-average molecular weights, and reactor pressure. It is shown that high molecular weights and high polymerization rates can be obtained in the presence of a mixture of monofunctional and bifunctional initiators. Moreover, the use of bifunctional initiators results in a significant reduction of the polymerization time without impairing the final molecular weight properties of the polymer. To our knowledge, this is the first comprehensive kinetic modeling study on the combined use of monofunctional and bifunctional initiators on the free-radical suspension polymerization of VC. Taking into consideration the excellent agreement of the model predictions with the experimental measurements, the proposed model should find wide application in the design, optimization, and control of industrial poly(vinyl chloride) batch reactors.
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.