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Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

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Published on: March 24, 2023

Self-Restoring Capacitive Pressure Sensor Based on Three-Dimensional Porous Structure and Shape Memory Polymer.

Byunggeon Park^1,2, Young Jung^1,2, Jong Soo Ko²

¹Precision Mechanical Process and Control R&D Group, Korea Institute of Industrial Technology, 42-7, Baegyang-daero 804beon-gil, Sasang-gu, Busan 46938, Korea.

|April 3, 2021

Summary

This summary is machine-generated.

This study introduces a durable flexible pressure sensor using a shape memory polymer (SMP) porous structure, overcoming limitations of traditional polyurethane sensors for reliable pressure sensing up to 500 kPa.

Keywords:

capacitive pressure sensor durability porous structure pressure sensors self-restoring shape memory polymer wide pressure range

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Area of Science:

Materials Science
Polymer Science
Sensor Technology

Background:

Polyurethane (PU) porous structures are used in flexible capacitive pressure sensors due to their elasticity.
However, PU-based sensors lack durability during repeated pressure application, limiting practical use.
Enhancing the durability of flexible pressure sensors is crucial for widespread adoption.

Purpose of the Study:

To develop a flexible pressure sensor with enhanced durability using a shape memory polymer (SMP).
To investigate the performance of an SMP-based porous structure in capacitive pressure sensing applications.
To demonstrate the potential of the developed sensor for real-time pressure monitoring.

Main Methods:

Fabrication of a 3D porous SMP structure using a sugar templating process and capillary action.
Integration of the SMP porous structure into a capacitive pressure sensor.
Evaluation of sensor performance, including durability under cyclic pressure, sensitivity, stability, response time, and hysteresis.
Testing the sensor for real-time shoe insole pressure detection.

Main Results:

The SMP porous structure demonstrated notable durability, maintaining sensing performance for 100 cycles at 500 kPa.
The SMP material exhibited rapid shape recovery (within 30 s at 80 °C).
The SMP-based sensor showed higher sensitivity (0.0223 kPa⁻¹) and excellent stability, response time, and hysteresis compared to PU sensors.
The sensor successfully detected real-time shoe insole pressures, showcasing durability and motion differentiation.

Conclusions:

Shape memory polymers significantly enhance the durability of flexible porous pressure sensors.
The developed SMP-based sensor offers superior performance characteristics for pressure sensing applications.
This technology holds promise for advanced applications like wearable health monitoring and smart insoles.