Computational fluid dynamics of polymer flow-induced crystallization using the polySTRAND model

A computational model for predicting regions of flow-induced crystallization (FIC) during processing of a polydisperse polymer melt is presented. Flow produces local alignment of polymer segments that reduces the energy barrier for nucleation, which can lead to a dramatic increase in the rate of formation of crystal nuclei. However, simulating FIC in a complex flow geometry is challenging due to the need to couple a molecular-level description of chain configuration to the macroscale flow dynamics. This is compounded in polydisperse melts as the most marked flow-induced effects occur from the long-chain species at low undercooling. In this work, we use the Rolie-Double-Poly (RDP) model [Boudara et al., J. Rheol. 63, 71–91 (2019)] in combination with the polySTRAND model [Read et al., Phys. Rev. Lett. 124, 147802 (2020)] to create a computationally viable method for modeling FIC. This model is used to examine flow-induced crystallization in a contraction-expansion geometry, where previous experiments [Scelsi et al., J. Rheol. 53, 859–876 (2009)] found a highly localized region of crystal formation at and downstream of the wall of the constriction.

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Publication Details

Journal
Journal of Rheology
Published
2025-10-02
DOI
https://doi.org/10.1122/8.0000999
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
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article

Computational fluid dynamics of polymer flow-induced crystallization using the polySTRAND model

Daniel J. Read, W. P. Grant, Oliver G. Harlen
Journal of Rheology
Rheology and Fluid Dynamics Studies
article

Computational fluid dynamics of polymer flow-induced crystallization using the polySTRAND model

Daniel J. Read, W. P. Grant, Oliver G. Harlen
article en

Abstract

A computational model for predicting regions of flow-induced crystallization (FIC) during processing of a polydisperse polymer melt is presented. Flow produces local alignment of polymer segments that reduces the energy barrier for nucleation, which can lead to a dramatic increase in the rate of formation of crystal nuclei. However, simulating FIC in a complex flow geometry is challenging due to the need to couple a molecular-level description of chain configuration to the macroscale flow dynamics. This is compounded in polydisperse melts as the most marked flow-induced effects occur from the long-chain species at low undercooling. In this work, we use the Rolie-Double-Poly (RDP) model [Boudara et al., J. Rheol. 63, 71–91 (2019)] in combination with the polySTRAND model [Read et al., Phys. Rev. Lett. 124, 147802 (2020)] to create a computationally viable method for modeling FIC. This model is used to examine flow-induced crystallization in a contraction-expansion geometry, where previous experiments [Scelsi et al., J. Rheol. 53, 859–876 (2009)] found a highly localized region of crystal formation at and downstream of the wall of the constriction.

Journal of RheologyVol. 69(6)
University of Leeds (GB)
Openalex Percentile: Top 76%
Rheology and Fluid Dynamics Studies
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Computational fluid dynamics of polymer flow-induced crystallization using the polySTRAND model — Daniel J. Read, W. P. Grant, et al. · Journal of Rheology (2025) | TGRS Research Map | TGRS