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Optical Fiber Sensor Performance Evaluation in Soft Polyimide Film with Different Thickness Ratios
Yanlin He1,2, Xu Zhang3,4, Lianqing Zhu5,6
1Beijing Engineering Research Center of Optoelectronic Information and Instruments, Beijing Information Science and Technology University, Beijing 100192, China. heyanlin@bit.edu.cn.
This study developed an optical fiber Bragg grating (FBG) shape sensor for soft robots and morphing wings. The research optimized FBG sensor depth in polyimide film for enhanced sensitivity and stability in curvature measurement.
Area of Science:
- Materials Science
- Robotics Engineering
- Optical Sensing
Background:
- Soft biomedical robotics and flexible morphing wings require precise curvature measurement.
- Optical Fiber Bragg Grating (FBG) sensors offer potential for shape monitoring.
- Limited analysis of FBG sensor embedding depth in polyimide film restricts application.
Purpose of the Study:
- Investigate the relationship between FBG sensor embedded depth in polyimide film and its sensitivity and stability.
- Optimize FBG sensor design for soft robotics and morphing wing applications.
- Validate the performance of embedded FBG sensors for curvature measurement.
Main Methods:
- Introduced the sensing principle and structural design of the FBG sensor embedded in polyimide film.
- Studied the bending curvatures of the FBG sensor and its wavelength shift within the polyimide film.
- Experimentally verified the relationship between sensor sensitivity, stability, and embedded depth.
Main Results:
- Established a linear relationship between wavelength shift and curvature.
- Achieved sensitivities ranging from 1.96 pm/m⁻¹ to 50.65 pm/m⁻¹ for curvatures up to 30 m⁻¹.
- Demonstrated good consistency and stability in repeated experiments for soft actuator and morphing wing measurements.
Conclusions:
- The developed FBG sensor embedded in polyimide film exhibits reliable performance for shape monitoring.
- The embedded depth significantly influences FBG sensor sensitivity and stability.
- This FBG sensing method shows strong potential for real-world applications in soft robotics and flexible morphing wings.
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