Langevin dynamic simulations of two- and three-dimensional polymer-particle flocculation for the development of behavioural modification techniques

• Langevin dynamics simulations are used to investigate flocculation dynamics. • Kratky-Porod bending rigidity variation impacts flocculent formation and growth. • Polymer concentration identified as a critical factor improving cluster formation. • Stronger adsorption interactions result in larger, dense clusters. This study employs two- and three-dimensional Langevin dynamic simulations to investigate the fundamentals of polymer-particle flocculation and assess the impact of the Kratky-Porod bending rigidity, polymer concentration, and adsorption potential strength on the resulting structures. The present work explores flocculation in enclosed computational cells under stagnant conditions, utilising a bead-spring finitely-extensible nonlinear elastic (FENE) model to represent macromolecular polymer chains. The model incorporates various interaction potentials between monomers, particles, and walls including the FENE potential, bending rigidity, the Weeks-Chandler-Anderson potential, and a shifted and truncated Lennard-Jones potential to facilitate adsorption dynamics. Variations in bending rigidity are shown to directly influence the formation and growth of flocculents, revealing distinct conformation behaviours. It is shown that more flexible polymers form compact clusters on the surface of particles, while rigid polymers lead to more elongated tails upon adsorption, impacting flocculent size and structure. Polymer concentration also alters cluster formation rates and morphology, transitioning from compact, tightly bound structures at low concentrations to larger flocculents with higher concentrations. Modifying the shifted and truncated Lennard-Jones potential strength demonstrates how stronger adsorption interaction strengths yields larger, dense clusters, contrasting with weaker interaction strengths leading to smaller, more porous formations. Simulations performed in three dimensions are shown to validate the emergent dynamics observed in two dimensions, demonstrating that cluster formation and growth mechanisms are consistent across both, with minor variations due to adsorption surface area relative to the size of the monomers, confirming the applicability of two-dimensional findings to real-world three-dimensional polymer systems. This computational study provides valuable insight into the impact of various physical and chemical parameters on the multifaceted nature of flocculation dynamics, crucial for processes such as settling and the implementation of behavioural modification techniques, to improve flow, mixing and separation behaviour of particle-laden flows, across many industrial and environmental settings.

Authors

Institutions

Publication Details

Journal
Applied Mathematical Modelling
Published
2025-05-17
DOI
https://doi.org/10.1016/j.apm.2025.116195
Primary Topic
Coagulation and Flocculation Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Langevin dynamic simulations of two- and three-dimensional polymer-particle flocculation for the development of behavioural modification techniques

LF Mortimer, Michael Fairweather
Applied Mathematical Modelling
Coagulation and Flocculation Studies
article

Langevin dynamic simulations of two- and three-dimensional polymer-particle flocculation for the development of behavioural modification techniques

LF Mortimer, Michael Fairweather
article en

Abstract

• Langevin dynamics simulations are used to investigate flocculation dynamics. • Kratky-Porod bending rigidity variation impacts flocculent formation and growth. • Polymer concentration identified as a critical factor improving cluster formation. • Stronger adsorption interactions result in larger, dense clusters. This study employs two- and three-dimensional Langevin dynamic simulations to investigate the fundamentals of polymer-particle flocculation and assess the impact of the Kratky-Porod bending rigidity, polymer concentration, and adsorption potential strength on the resulting structures. The present work explores flocculation in enclosed computational cells under stagnant conditions, utilising a bead-spring finitely-extensible nonlinear elastic (FENE) model to represent macromolecular polymer chains. The model incorporates various interaction potentials between monomers, particles, and walls including the FENE potential, bending rigidity, the Weeks-Chandler-Anderson potential, and a shifted and truncated Lennard-Jones potential to facilitate adsorption dynamics. Variations in bending rigidity are shown to directly influence the formation and growth of flocculents, revealing distinct conformation behaviours. It is shown that more flexible polymers form compact clusters on the surface of particles, while rigid polymers lead to more elongated tails upon adsorption, impacting flocculent size and structure. Polymer concentration also alters cluster formation rates and morphology, transitioning from compact, tightly bound structures at low concentrations to larger flocculents with higher concentrations. Modifying the shifted and truncated Lennard-Jones potential strength demonstrates how stronger adsorption interaction strengths yields larger, dense clusters, contrasting with weaker interaction strengths leading to smaller, more porous formations. Simulations performed in three dimensions are shown to validate the emergent dynamics observed in two dimensions, demonstrating that cluster formation and growth mechanisms are consistent across both, with minor variations due to adsorption surface area relative to the size of the monomers, confirming the applicability of two-dimensional findings to real-world three-dimensional polymer systems. This computational study provides valuable insight into the impact of various physical and chemical parameters on the multifaceted nature of flocculation dynamics, crucial for processes such as settling and the implementation of behavioural modification techniques, to improve flow, mixing and separation behaviour of particle-laden flows, across many industrial and environmental settings.

Applied Mathematical ModellingVol. 147
University of Leeds (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 89%
Coagulation and Flocculation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.