Experimental Design and Modeling for Propylene Oxide - CO<sub>2</sub>–Poly (Propylene Carbonate) Solutions

Umesh Pandey
University College of Southeast Norway, Norway

Kai Arne Sætre
Norner Research, Norway

Jostein Mathiassen
Norner Research, Norway

Sara Ronasi
Norner Research, Norway

Siw Bodil Fredriksen
Norner Research, Norway

Carlos F. Pfeiffer
University College of Southeast Norway, Norway

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp1815373

Ingår i: Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), 26-28 September 2018, Oslo Metropolitan University, Norway

Linköping Electronic Conference Proceedings 153:11, s. 73-78

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Publicerad: 2018-11-19

ISBN: 978-91-7685-494-5

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


In this research, experimental design was used to formulate the empirical models of viscosity and density of poly(propylene carbonate) (PPC), propylene oxide (PO), and carbon dioxide (CO2) solutions by designing experiments at key values of the process variables; concentration of PPC between 0 to 34% (% w/w), temperature in the reactor between 50 to 75°C, and gas phase manometric CO2 pressure between 20 to 40 bar. A bench scale reactor (2000 ml) comprising an external circulation loop equipped with in-line viscosity and density measurement devices was used to carry out the tests. The results show that the equilibrium viscosity and density of the solution increased with the concentration of PPC and decreased with the pressure and temperature in the reactor. The density model has ??????????????????2 value close to unity indicating that the model can predict the variation in the density with very high accuracy. In comparison, the viscosity model has a lower ??????????????????2 value indicating a need for additional experiments to improve the model. However, both empirical models predict the general trends of the density and viscosity characteristics in the selected range and can be used as a viable alternative to thermodynamic models.


Carbon dioxide polymers, poly(propylene carbonate), experimental design, statistical modeling


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