People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Haley, Jeffrey C.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2006Two calorimetric glass transitions do not necessarily indicate immiscibilitycitations
- 2005Viscosity predictions for model miscible polymer blendscitations
- 2004Failure of time-temperature superposition in dilute miscible polymer blendscitations
- 2004A framework for predicting the viscosity of miscible polymer blendscitations
- 2003Composition and temperature dependence of terminal and segmental dynamics in polyisoprene/poly(vinylethylene) blendscitations
Places of action
Organizations | Location | People |
---|
article
Viscosity predictions for model miscible polymer blends
Abstract
<p>The viscosities of miscible blends of 1,4-polyisoprene (Mn =78 kgmol) /poly(vinylethylene) (Mn =10 kgmol and 120 kgmol) and polystyrene (Mn =30 kgmol) /poly(vinyl methyl ether) (Mn =105 kgmol) were measured as a function of temperature and composition. These results, along with literature data for poly(ethylene-alt-propylene)/head-to-head polypropylene [Gell (1996)] and molecular weight blends of 1,4-polybutadiene [Wang (2003)], were compared to the predictions of a previously published model [Haley and Lodge (2004a)]. The agreement between theory and experiment is generally good, though some quantitative discrepancies are apparent. A new tube dilation model that predicts the terminal relaxation time of the slower moving component in a blend as a function of composition is presented. This model enables improved viscosity predictions, and in several cases produces near quantitative predictions.</p>