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Author:

Liu, Xia (Liu, Xia.) | Wang, Xin (Wang, Xin.) | Zhang, Xingyu (Zhang, Xingyu.) | Yang, Qingsheng (Yang, Qingsheng.) (Scholars:杨庆生)

Indexed by:

EI Scopus SCIE

Abstract:

This study focuses on understanding how the phase-separation process affects the toughness of random copolymer ionogels. Previous research has shown that adjusting the balance between solvophobic and solvophilic monomers within the copolymer can significantly change the mechanical properties of ionogels. This research used coarse-grained molecular dynamics simulations to analyze how phase-separation structure influences the mechanical properties of random copolymer ionogels. The results show that increasing the proportion of solvophobic monomers improves toughness up to a critical point, beyond which toughness declines due to a transition from bi-continuous to macro-phase separation. Additionally, reducing the ionic solvent content generally enhances both strength and toughness, while the ultimate strain remains nearly consistent. Stronger hydrogen bonds between solvophobic polymer segments increase rigidity but decrease toughness. This study provides important insights for designing and synthesizing high-performance copolymer ionogels.

Keyword:

Copolymer ionogels phase separation coarse-grained molecular dynamics

Author Community:

  • [ 1 ] [Liu, Xia]Beijing Univ Technol, Dept Mech, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Xin]Beijing Univ Technol, Dept Mech, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Xingyu]Beijing Univ Technol, Dept Mech, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Qingsheng]Beijing Univ Technol, Dept Mech, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Yang, Qingsheng]Beijing Univ Technol, Dept Mech, Beijing 100124, Peoples R China;;

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Source :

INTERNATIONAL JOURNAL OF APPLIED MECHANICS

ISSN: 1758-8251

Year: 2024

Issue: 08

Volume: 16

3 . 5 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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