Relationship between molecular weight distribution and dynamic spectroscopy data of polymers by the use of multivariate analysis and molecular modelling
| Title |
Relationship between molecular weight distribution and dynamic spectroscopy data of polymers by the use of multivariate analysis and molecular modelling |
| Publication year |
2000 |
| Language |
English |
| Author |
Eggen, Svein |
| Co-Authors |
Gahleitner, Markus - Bryntesen, Heidi (Norner) |
| Source |
XIII th International congress on Rheology 20-25 August, 2000 |
| Abstract |
The relationships between rheological data and molecular weigth distribution is highly complex and has been studied for many years using available tools ranging from simple correlation analysis to advanced mathematical models. For the polymer rheologists working in the industry, it is of great importance to establish the relationship between processability (as measurd by rheological means) and the molecular structure(as measured by GPC) . The main problems usually encountered comes from the well known fact that while GPC has its highest accuracy and resolution in the low- medium mw range , dynamic spectroscopy are extremely sensitive to minor changes in high- ultrahigh mw chains and long chain branches. Due to this, conflicting interpretations can be the result if data is interpreted alone , or if traditional parameterisation of GPC curves is used (Mw, Mn Mw/Mn etc) These problems are increasing along with the increasing complexity of the polymers produced using new catalyst systems . Multivariate analysis provide us with a set of tools to relate the variation in rheological parameters to the complete molecular weight distribution curve . The strength in this approach is the ability to to handle large amounts of data without any apriori assumptions. |