Assessing the Phase Structure of Molten Polymer Blends using a Generalized Gramespacher-Meissner Model

Activity: Talk or presentationContributed talkunknown

Description

Oscillatory shear rheometry is a convenient method to detect phase separation in polymer melts, as the deformation of enclosed particles will cause additonal long-time relaxation processes which add to the dynamic moduli at low frequencies. When using rheometry to investigate the phase structure of a molten polymer blend, it makes sense to avoid crystallization during sample preparation, as it induces phase separation and might therefore affect the measurement. Thus we use an experimental set-up where the compounded molten blend is transferred directly into the measuring cell of a rheometer. If phase separation in the melt occurs, the relaxation time spectrum obtained from the measured dynamic moduli will differ significantly from the combined spectra of the pure components. By using the model of Gramespacher and Meissner [1], one can gather information about the phase structure from this discrepancy. However, the original G/M model is only valid for (near) uniform particle sizes. We therefore attempt to generalize it in order to make it applicable to broader particle size distributions. We use this model to predict the dynamic mechanical behaviour of blends with known morphologies, and, conversely, to assess the morphology from measured dynamic moduli. Reference: [1] H. Gramespacher and J. Meissner (1992): J. Rheol. 36(6), 1127-1141
Period11 Apr 2014
Event title9th Annual European Rheology Conference (AERC2014)
Event typeConference
LocationGermanyShow on map

Fields of science

  • 205012 Polymer processing
  • 104 Chemistry
  • 206001 Biomedical engineering
  • 103023 Polymer physics
  • 104017 Physical chemistry
  • 210006 Nanotechnology
  • 104018 Polymer chemistry
  • 211905 Bionics
  • 104019 Polymer sciences
  • 205016 Materials testing
  • 210002 Nanobiotechnology
  • 104004 Chemical biology

JKU Focus areas

  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • Engineering and Natural Sciences (in general)