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Updated: Sep 22, 2025

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
Published on: March 24, 2023
High-Sensitivity Pressure Sensors Based on a Low Elastic Modulus Adhesive.
Xiuzhu Xu1, Hao Zhu1, Shengping Dai1
1School of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.
Researchers developed a novel, highly sensitive pressure sensor using low elastic modulus adhesives. This method enhances strain transfer, improving sensor sensitivity by up to 12% for intelligent applications.
Area of Science:
- Materials Science
- Mechanical Engineering
- Electrical Engineering
Background:
- Increasing demand for high-sensitivity pressure sensors in intelligent applications.
- Challenges in efficiently preparing industrial-grade high-sensitivity sensors.
- Need for improved strain transfer mechanisms in pressure sensing.
Purpose of the Study:
- To develop a highly sensitive and fatigue-resistant pressure sensor.
- To investigate the effect of adhesive elastic modulus on sensor performance.
- To enhance strain transfer efficiency for improved pressure sensitivity.
Main Methods:
- Utilizing adhesives with varying elastic moduli to bond double-sided sensitive grids.
- Fabricating pressure sensors with low elastic modulus adhesives.
- Employing finite element analysis (FEA) for sensitivity simulation and verification.
Main Results:
- Low elastic modulus adhesives effectively induce tensile and compressive strains on sensitive grids.
- Enhanced strain transfer efficiency observed with low elastic modulus adhesives.
- FEA simulation confirmed up to a 12% increase in sensor sensitivity.
Conclusions:
- Low elastic modulus adhesives significantly improve pressure sensor sensitivity and fatigue resistance.
- The developed method offers a simple and efficient approach for preparing high-performance pressure sensors.
- This technology is crucial for the miniaturization and integration of electronics in intelligent applications.
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