Abstract
We use first-harmonic MAOS nonlinearities from G1′ and G1″ to test a predictive structure-rheology model for a transient polymer network. Using experiments with PVA-Borax (polyvinyl alcohol cross-linked by sodium tetraborate (borax)) at 11 different compositions, the model is calibrated to first-harmonic MAOS data on a torque-controlled rheometer at a fixed frequency, and used to predict third-harmonic MAOS on a displacement controlled rheometer at a different frequency three times larger. The prediction matches experiments for decomposed MAOS measures [e3] and [v3] with median disagreement of 13% and 25%, respectively, across all 11 compositions tested. This supports the validity of this model, and demonstrates the value of using all four MAOS signatures to understand and test structure-rheology relations for complex fluids.
Original language | English (US) |
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Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | Korea Australia Rheology Journal |
Volume | 30 |
Issue number | 1 |
DOIs | |
State | Published - Feb 1 2018 |
Keywords
- LAOS
- MAOS
- constitutive model testing
- experimental methods
- large-amplitude oscillatory shear
- parameter calibration
- polymer network
- prediction
- supramolecular
ASJC Scopus subject areas
- Materials Science(all)
- Condensed Matter Physics