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) |
|---|---|
| Journal | Korea Australia Rheology Journal |
| Volume | 30 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 1 2018 |
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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
Cite this
First-harmonic nonlinearities can predict unseen third-harmonics in medium-amplitude oscillatory shear (MAOS). / Carey-De La Torre, Olivia; Ewoldt, Randy H.
In: Korea Australia Rheology Journal, Vol. 30, No. 1, 01.02.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - First-harmonic nonlinearities can predict unseen third-harmonics in medium-amplitude oscillatory shear (MAOS)
AU - Carey-De La Torre, Olivia
AU - Ewoldt, Randy H
PY - 2018/2/1
Y1 - 2018/2/1
N2 - 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.
AB - 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.
KW - LAOS
KW - MAOS
KW - constitutive model testing
KW - experimental methods
KW - large-amplitude oscillatory shear
KW - parameter calibration
KW - polymer network
KW - prediction
KW - supramolecular
UR - http://www.scopus.com/inward/record.url?scp=85042742765&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042742765&partnerID=8YFLogxK
U2 - 10.1007/s13367-018-0001-2
DO - 10.1007/s13367-018-0001-2
M3 - Article
AN - SCOPUS:85042742765
VL - 30
JO - Korea Australia Rheology Journal
JF - Korea Australia Rheology Journal
SN - 1226-119X
IS - 1
ER -