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Yuheng Pan1, Junfeng Jiang1, Kun Liu1
1Key Laboratory of Optoelectronics Information Technology, MEC, Institute of Optical Fiber Sensing of Tianjin University, Tianjin 300072, China.
The Review of Scientific Instruments
|December 3, 2016
Summary
This study investigated the response times of fiber Bragg grating (FBG) temperature sensors. Bare FBG sensors showed the fastest response at 8.9 ms, crucial for time-sensitive temperature measurements.
Area of Science:
- Optics and Photonics
- Materials Science
- Sensor Technology
Background:
- Fiber Bragg grating (FBG) sensors offer precise temperature measurement capabilities.
- Understanding the dynamic response time of FBG sensors is critical for applications requiring rapid temperature monitoring.
- Various packaging methods can influence the thermal and mechanical properties of FBG sensors.
Purpose of the Study:
- To investigate and model the response times of different fiber Bragg grating (FBG) temperature sensors.
- To quantify the response times of bare, gold-coated, and ceramic-packaged FBG sensors under a step temperature change.
- To provide data useful for selecting appropriate FBG sensors for applications with specific time-response requirements.
Main Methods:
- A response model for FBG temperature sensors was established.
- Three types of FBG sensors (bare, gold-coated, ceramic-packaged) were tested.
- A step simulation was used to induce temperature changes.
- The matched FBG method was employed to accurately measure sensor response times.
- Each sensor type was measured five times to ensure reliability.
Main Results:
- The average response times for the tested FBG sensors were determined.
- Bare FBG sensors exhibited the fastest average response time of 8.9 ms.
- Gold-coated FBG sensors showed an average response time of 12.3 ms.
- Ceramic-packaged FBG sensors had a significantly slower average response time of 336 ms.
Conclusions:
- The packaging significantly impacts the response time of FBG temperature sensors.
- Bare FBG sensors are suitable for high-speed temperature monitoring applications.
- The established response model and experimental data provide valuable insights for sensor selection.
- These findings aid in optimizing temperature measurement strategies where time characteristics are paramount.
