Topological Rearrangement-Induced\nMesoscale Phase\nRedistribution to Enhance the Fatigue Resistance of Polymer Blends

Maintaining a high modulus to simultaneously withstand\ndeformation\nand increase fatigue resistance to restrict crack propagation in a\nmaterial presents a significant challenge. In this work, a straightforward\nstrategy was developed to address this issue in polymers. A dynamic\nnetwork was incorporated into a permanent one prior to the formation\nof the latter, and two incompatible polymer networks were created\nto prevent common phase separation. The mechanical and fatigue resistance\nproperties were substantially enhanced by the exact modulation of\nthe soft and hard phase distribution by precise control over the densities\nof dynamic and permanent networks as well as the number of reprocessing\nsteps. The experimental results demonstrated a nearly 9-fold increase\nin the fatigue life of polyurethane compared with traditional design\nmethods and a 2.5 times increase in modulus. This strategy shows potential\nfor the design of fatigue-resistant thermosetting and thermoplastic\nmaterials. The results offer new insight into the development of durable,\nhigh-performance materials that are reprocessable and compatible.

Publication Details

Journal
Figshare
Published
2024-08-14
DOI
https://doi.org/10.1021/acsami.4c08682.s001
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Topological Rearrangement-Induced\nMesoscale Phase\nRedistribution to Enhance the Fatigue Resistance of Polymer Blends

Figshare
Polymer composites and self-healing
article

Topological Rearrangement-Induced\nMesoscale Phase\nRedistribution to Enhance the Fatigue Resistance of Polymer Blends

article en

Abstract

Maintaining a high modulus to simultaneously withstand\ndeformation\nand increase fatigue resistance to restrict crack propagation in a\nmaterial presents a significant challenge. In this work, a straightforward\nstrategy was developed to address this issue in polymers. A dynamic\nnetwork was incorporated into a permanent one prior to the formation\nof the latter, and two incompatible polymer networks were created\nto prevent common phase separation. The mechanical and fatigue resistance\nproperties were substantially enhanced by the exact modulation of\nthe soft and hard phase distribution by precise control over the densities\nof dynamic and permanent networks as well as the number of reprocessing\nsteps. The experimental results demonstrated a nearly 9-fold increase\nin the fatigue life of polyurethane compared with traditional design\nmethods and a 2.5 times increase in modulus. This strategy shows potential\nfor the design of fatigue-resistant thermosetting and thermoplastic\nmaterials. The results offer new insight into the development of durable,\nhigh-performance materials that are reprocessable and compatible.

Figshare
Openalex Percentile: Top 72%
Polymer composites and self-healing
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.