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Published on: September 26, 2016
PolySTRAND Model of Flow-Induced Nucleation in Polymers
Daniel J Read1, Claire McIlroy2,3, Chinmay Das1
1School of Mathematics, University of Leeds, Leeds LS2 9JT, United Kingdom.
We developed polySTRAND, a thermodynamic model for flow-induced polymer nucleation. It accurately predicts how processing parameters like flow rate influence nucleation dynamics in polydisperse systems.
Area of Science:
- Polymer science
- Materials science
- Thermodynamics
Background:
- Flow-induced nucleation is critical in polymer processing.
- Existing models struggle with polydisperse systems and complex flow dynamics.
- Understanding nucleation mechanisms is key to controlling polymer morphology.
Purpose of the Study:
- To develop a thermodynamic continuum-level model for flow-induced nucleation in polymers.
- To enable accurate computational process modeling of polymer crystallization.
- To account for molecular origins and dynamics in polydisperse systems.
Main Methods:
- Developed the polySTRAND thermodynamic continuum model.
- Incorporated molecular origins to capture flow and nucleation dynamics.
- Modeled effects of processing parameters: flow rate, temperature, and molecular weight distribution.
Main Results:
- The polySTRAND model accurately captures variations with key processing parameters.
- Under strong flow, longer polymer chains are over-represented in the nucleus.
- Demonstrated superexponential nucleation rate growth with increasing shear rate, matching experimental observations.
Conclusions:
- PolySTRAND provides a robust framework for modeling flow-induced nucleation in polydisperse polymers.
- The model's molecular basis allows for accurate prediction of nucleation behavior under various processing conditions.
- Findings highlight the significant role of chain length distribution in flow-induced nucleation dynamics.
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