First-harmonic nonlinearities can predict unseen third-harmonics in medium-amplitude oscillatory shear (MAOS)

Olivia Carey-De La Torre, Randy H. Ewoldt

Research output: Contribution to journalArticle

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 languageEnglish (US)
JournalKorea Australia Rheology Journal
Volume30
Issue number1
DOIs
StatePublished - 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

Fingerprint Dive into the research topics of 'First-harmonic nonlinearities can predict unseen third-harmonics in medium-amplitude oscillatory shear (MAOS)'. Together they form a unique fingerprint.

  • Cite this