Synergistic Inherentand Dynamic Cross-Links for Self-HealablePolydimethylsiloxane Elastomer Foams

The preparation of foams with self-healing properties and stable cell structures continues to present significant challenges. In this study, a polydimethylsiloxane elastomer featuring a dual network structure was developed. A dynamic cross-linking network, formed by hydrogen and disulfide bonds, imparted self-healing capabilities to the elastomer. The inclusion of a cross-linking agent created an inherent cross-linking network that improved the mechanical properties and melt strength of the elastomer. The synthesized polydimethylsiloxane elastomer demonstrated an exceptional self-healing performance, achieving a self-healing efficiency of 92.89%, along with impressive mechanical properties, including a tensile strength of 6.32 MPa and an elongation at break of 1277.80%. Additionally, a polydimethylsiloxane elastomer foam with self-healing properties was fabricated using a supercritical carbon dioxide (sc-CO<sub>2</sub>) foaming method. With an increase in inherent cross-linking, the cell size decreased from 11.88 to 8.60 μm, while the cell density increased from 2.04 × 10<sup>9</sup> to 2.71 × 10<sup>9</sup> cells/cm<sup>3</sup>, resulting in the uniform cell distribution within the foam. Microcracks in the foam were effectively healed within 10 min at 80 °C, and the cell morphology remained stable after 96 h of exposure to environmental conditions. This dual-network self-healing foam exhibited an excellent self-healing performance along with a stable cell structure.

Publication Details

Journal
Figshare
Published
2025-03-17
DOI
https://doi.org/10.1021/acsapm.5c00262.s001
Primary Topic
Education Methods and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synergistic Inherentand Dynamic Cross-Links for Self-HealablePolydimethylsiloxane Elastomer Foams

Figshare
Education Methods and Technologies
article

Synergistic Inherentand Dynamic Cross-Links for Self-HealablePolydimethylsiloxane Elastomer Foams

article en

Abstract

The preparation of foams with self-healing properties and stable cell structures continues to present significant challenges. In this study, a polydimethylsiloxane elastomer featuring a dual network structure was developed. A dynamic cross-linking network, formed by hydrogen and disulfide bonds, imparted self-healing capabilities to the elastomer. The inclusion of a cross-linking agent created an inherent cross-linking network that improved the mechanical properties and melt strength of the elastomer. The synthesized polydimethylsiloxane elastomer demonstrated an exceptional self-healing performance, achieving a self-healing efficiency of 92.89%, along with impressive mechanical properties, including a tensile strength of 6.32 MPa and an elongation at break of 1277.80%. Additionally, a polydimethylsiloxane elastomer foam with self-healing properties was fabricated using a supercritical carbon dioxide (sc-CO<sub>2</sub>) foaming method. With an increase in inherent cross-linking, the cell size decreased from 11.88 to 8.60 μm, while the cell density increased from 2.04 × 10<sup>9</sup> to 2.71 × 10<sup>9</sup> cells/cm<sup>3</sup>, resulting in the uniform cell distribution within the foam. Microcracks in the foam were effectively healed within 10 min at 80 °C, and the cell morphology remained stable after 96 h of exposure to environmental conditions. This dual-network self-healing foam exhibited an excellent self-healing performance along with a stable cell structure.

Figshare
Life in Land
Openalex Percentile: Top 49%
Education Methods and Technologies
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.