Synergistic enhancement of hydrogel/aramid composites by dual nanomicelles: high puncture resistance and ultrafast photoinitiated self-healing properties

To solve the difficult recycling and poor durability of puncture-resistant soft composites, this study proposed a synergistic reinforcement of hydrogel/aramid composites by dual nanomicelle cross-linked networks using Pluronic F127DA, TiN, and TiO2 nanoparticles. The TiN nanoparticles, a photothermal conversion material, were introduced into the gel system as toughening particles, and then they were synergized with the micellar state of Pluronic F127DA to form the core–shell structure nanomicelles, which provide more crosslink points and form a triple physical crosslink network with TiO2 NPs. This synergistic reinforcement had a significant effect on the mechanical properties of the gel matrix (302.27 MJ toughness), self-repair ability (100% under near-infrared light for 5 min), and the amazing improvement of the puncture resistance of the composites (276.78 N cone puncture resistance value, 241.98 N knife puncture resistance value). This study provides an important reference for the design of soft composites with both efficient self-healing properties and high puncture resistance.

Authors

Institutions

Publication Details

Journal
Advanced Composites and Hybrid Materials
Published
2025-10-16
DOI
https://doi.org/10.1007/s42114-025-01473-0
Citations
1
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.61

Funders

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

Synergistic enhancement of hydrogel/aramid composites by dual nanomicelles: high puncture resistance and ultrafast photoinitiated self-healing properties

Sheng Chu, Xingteng Zhang, Yabo Sun, Tingting Li et al.
1 citations
Advanced Composites and Hybrid Materials
Polymer composites and self-healing
0.61
article

Synergistic enhancement of hydrogel/aramid composites by dual nanomicelles: high puncture resistance and ultrafast photoinitiated self-healing properties

Sheng Chu, Xingteng Zhang, Yabo Sun, Tingting Li, Mingyuan Zhang, Chen‐Hung Huang, Xiao Han, Jia‐Horng Lin, Ching-Wen Lou
article en
1 citations

Abstract

To solve the difficult recycling and poor durability of puncture-resistant soft composites, this study proposed a synergistic reinforcement of hydrogel/aramid composites by dual nanomicelle cross-linked networks using Pluronic F127DA, TiN, and TiO2 nanoparticles. The TiN nanoparticles, a photothermal conversion material, were introduced into the gel system as toughening particles, and then they were synergized with the micellar state of Pluronic F127DA to form the core–shell structure nanomicelles, which provide more crosslink points and form a triple physical crosslink network with TiO2 NPs. This synergistic reinforcement had a significant effect on the mechanical properties of the gel matrix (302.27 MJ toughness), self-repair ability (100% under near-infrared light for 5 min), and the amazing improvement of the puncture resistance of the composites (276.78 N cone puncture resistance value, 241.98 N knife puncture resistance value). This study provides an important reference for the design of soft composites with both efficient self-healing properties and high puncture resistance.

Advanced Composites and Hybrid MaterialsVol. 8(6)
Asia University (TW), China Medical University (TW), Shaoxing University (CN), Tiangong University (CN), China Medical University Hospital (TW), Feng Chia University (TW)
China National Textile and Apparel Council
Openalex Percentile: Top 29%
Polymer composites and self-healing
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.