<scp>3D</scp> Printable Dual‐Cured <scp>PUA</scp> Elastomer Sensors: Low Viscosity, Volume Shrinkage, Heat Treatment Temperature and Excellent Mechanical Properties

ABSTRACT The dual‐curing polyurethane acrylate elastomers are researched to obtain 3D printable elastomers with high tensile strength and elongation at break. This resin is applied to 3D print a complex lattice structure, with a viscosity of 407.4 mPa s at 25°C, and a wavelength of 405 nm ultraviolet. Then the 3D printer is heat‐treated at 93.79°C; its volume shrinkage rate is only 0.54%, and its tensile strength and break elongation are 15.5 MPa and 476.0%, which are enhanced 61.5% and 143.9% compared to simple photopolymerization. Because this 3D‐printed elastomer occurred two crosslinking reactions through the dual thermal curing, one is between the NCO groups and the amine groups, and the other is between the epoxy groups and the amine groups. Therefore, an interpenetrating network system with a crosslinked structure is finally formed in our elastomer, which has satisfactory performance to meet the requirements of 3D printing, such as low viscosity, low heat treatment temperature, low volume shrinkage, and high mechanical strength. On this basis, two types of conductive fillers are added. The results of electrical tests and dynamic detection tests show that the modified elastomer has excellent sensitivity and stability and is expected to be used in flexible sensors.

Authors

Institutions

Publication Details

Journal
Journal of Applied Polymer Science
Published
2025-04-23
DOI
https://doi.org/10.1002/app.57204
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D Printable Dual‐Cured PUA Elastomer Sensors: Low Viscosity, Volume Shrinkage, Heat Treatment Temperature and Excellent Mechanical Properties

Zongbao Liu, Lei Cao, Xiaofei Liu, Lin Li et al.
1 citations
Journal of Applied Polymer Science
Advanced Sensor and Energy Harvesting Materials
0.67
article

3D Printable Dual‐Cured PUA Elastomer Sensors: Low Viscosity, Volume Shrinkage, Heat Treatment Temperature and Excellent Mechanical Properties

Zongbao Liu, Lei Cao, Xiaofei Liu, Lin Li, Junping Zheng, Hai Zhang
article en
1 citations

Abstract

ABSTRACT The dual‐curing polyurethane acrylate elastomers are researched to obtain 3D printable elastomers with high tensile strength and elongation at break. This resin is applied to 3D print a complex lattice structure, with a viscosity of 407.4 mPa s at 25°C, and a wavelength of 405 nm ultraviolet. Then the 3D printer is heat‐treated at 93.79°C; its volume shrinkage rate is only 0.54%, and its tensile strength and break elongation are 15.5 MPa and 476.0%, which are enhanced 61.5% and 143.9% compared to simple photopolymerization. Because this 3D‐printed elastomer occurred two crosslinking reactions through the dual thermal curing, one is between the NCO groups and the amine groups, and the other is between the epoxy groups and the amine groups. Therefore, an interpenetrating network system with a crosslinked structure is finally formed in our elastomer, which has satisfactory performance to meet the requirements of 3D printing, such as low viscosity, low heat treatment temperature, low volume shrinkage, and high mechanical strength. On this basis, two types of conductive fillers are added. The results of electrical tests and dynamic detection tests show that the modified elastomer has excellent sensitivity and stability and is expected to be used in flexible sensors.

Journal of Applied Polymer ScienceVol. 142(29)
Tianjin University (CN)
Openalex Percentile: Top 33%
Advanced Sensor and Energy Harvesting Materials
0.67
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.