Effects of Aggregation Degree and Cross‐Linking Density on the Viscoelasticity of <scp>CNTs</scp> / <scp>CB</scp> ‐Filled Natural Rubber Composites: A Coarse‐Grained Molecular Dynamics Simulation

ABSTRACT Nanoparticle (NP)‐filled natural rubber (NR) has garnered significant research interest because of its superior viscoelastic behavior. In this study, the effects of aggregation degree and cross‐linking density on the viscoelasticity of carbon nanotubes (CNTs)/carbon black (CB)‐filled NR composites are studied using coarse‐grained molecular dynamics simulations. Dynamic shear simulation is conducted to calculate the storage modulus, loss modulus, and loss factor of the filled rubber. The simulation results demonstrate that CNTs dominate the dual‐phase NP network composed of CNTs and CB. Meanwhile, the improvement of the aggregation degree of CNTs helps to increase the interaction between components and promote the formation of bound rubber. However, excessive dispersion of CNTs can reduce the interaction between CNTs, weaken the rigidity of the entire NP network, and reduce the formation of bound rubber, resulting in a decrease in storage modulus and a weakening of the Payne effect. In addition, the cross‐linking structures of CNTs and NR also help to improve the storage modulus of the filled rubber and weaken the Payne effect of the filled rubber, which can be attributed to the enhanced interfacial rigidity and stability. The microstructure evolution of the composite network is analyzed in detail to reveal the synergistic mechanism of dual‐phase NPs on the viscoelasticity of the filled rubber.

Authors

Institutions

Publication Details

Journal
Polymer Composites
Published
2025-08-29
DOI
https://doi.org/10.1002/pc.70400
Citations
1
Primary Topic
Polymer Nanocomposites and Properties
Type
article
Field-Weighted Citation Impact
0.61

Funders

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

Effects of Aggregation Degree and Cross‐Linking Density on the Viscoelasticity of CNTs / CB ‐Filled Natural Rubber Composites: A Coarse‐Grained Molecular Dynamics Simulation

Fanlin Zeng, Jianzheng Cui, Dahai Wei
1 citations
Polymer Composites
Polymer Nanocomposites and Properties
0.61
article

Effects of Aggregation Degree and Cross‐Linking Density on the Viscoelasticity of CNTs / CB ‐Filled Natural Rubber Composites: A Coarse‐Grained Molecular Dynamics Simulation

Fanlin Zeng, Jianzheng Cui, Dahai Wei
article en
1 citations

Abstract

ABSTRACT Nanoparticle (NP)‐filled natural rubber (NR) has garnered significant research interest because of its superior viscoelastic behavior. In this study, the effects of aggregation degree and cross‐linking density on the viscoelasticity of carbon nanotubes (CNTs)/carbon black (CB)‐filled NR composites are studied using coarse‐grained molecular dynamics simulations. Dynamic shear simulation is conducted to calculate the storage modulus, loss modulus, and loss factor of the filled rubber. The simulation results demonstrate that CNTs dominate the dual‐phase NP network composed of CNTs and CB. Meanwhile, the improvement of the aggregation degree of CNTs helps to increase the interaction between components and promote the formation of bound rubber. However, excessive dispersion of CNTs can reduce the interaction between CNTs, weaken the rigidity of the entire NP network, and reduce the formation of bound rubber, resulting in a decrease in storage modulus and a weakening of the Payne effect. In addition, the cross‐linking structures of CNTs and NR also help to improve the storage modulus of the filled rubber and weaken the Payne effect of the filled rubber, which can be attributed to the enhanced interfacial rigidity and stability. The microstructure evolution of the composite network is analyzed in detail to reveal the synergistic mechanism of dual‐phase NPs on the viscoelasticity of the filled rubber.

Polymer CompositesVol. 47(5)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 31%
Polymer Nanocomposites and Properties
0.61
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.