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Flexible Equivalent Strain Sensor with Ordered Concentric Circular Curved Cracks Inspired by Scorpion.
Xiancun Meng1, Tao Sun1, Linpeng Liu2
1Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China.
ACS Applied Materials & Interfaces
|June 14, 2022
Summary
Scorpion-inspired strain sensors with ordered concentric circular cracks offer ultrasensitive detection. This biomimetic design enhances performance for human motion monitoring and vibration signal analysis.
Area of Science:
- Biomimetics
- Materials Science
- Sensor Technology
Background:
- Scorpions possess unique slit sensilla on their legs, characterized by curved cracks, enabling ultrasensitive environmental detection.
- The specific morphology and structure of these sensilla are crucial for their exceptional sensing capabilities.
Purpose of the Study:
- To design and fabricate a flexible strain sensor inspired by scorpion slit sensilla.
- To investigate the performance enhancement achieved by incorporating an ordered concentric circular crack array (CCA).
Main Methods:
- Fabrication of the CCA strain sensor using an optimized solvent-induced and template transfer method.
- Control over crack morphology through precise adjustments of heating temperature and duration.
- Characterization of sensor performance, including sensitivity, stability, and response time.
Main Results:
- The CCA sensor demonstrated ultrahigh sensitivity with a gauge factor (GF) of approximately 7878.6.
- Exceptional stability was observed, with the sensor performing reliably over 16,000 cycles.
- A fast response time of 110 ms was achieved, indicating rapid signal detection.
Conclusions:
- The ordered concentric circular crack array significantly improves strain sensor performance by ensuring uniform stress distribution and larger deformation.
- The developed sensor is suitable for practical applications such as monitoring human motion and detecting noncontact vibration signals.
- This scorpion-inspired technology holds great potential for advancements in human-health monitoring and vibration analysis.
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