High-Performance Fiber Optical Pressure Sensor Based on Microsphere Air Bubble Cavity for Depth Measurement in Deep Ocean

A compact high-performance fiber optical pressure sensor with large measuring range, high precision and high stability has been proposed, which is suitable for high-pressure measurement in deep marine environments. It mainly consists of a microsphere air bubble cavity, which is easily fabricated and only formed by splicing a section of hollow core fiber with a single mode fiber and discharging to form the cavity. It has owned a remarkable property to be stable in deep ocean with the pressure up to dozens or hundreds of megapascal. Gold layer is adopted to coat the cavity external surface to increase the reflection to get the sensing spectrum with a high signal to noise. The proposed sensing structure has been studied through theoretically analysis, numerical simulation and experimental research. According to the experimental results, the proposed sensor with cavity length of 300 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m and top thickness of about 7.78 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m, could achieve a high sensitivity of -116.75 pm/MPa in wavelength domain with a linearity of 0.99997 up to 60 MPa, and -23.33 nm/MPa in cavity length domain by demodulation algorithm with a linearity of 1 and accuracy of 0.089%FS, with the limitation of our pressure experimental setup. Moreover, the sensor exhibits an extremely low temperature sensitivity of 0.2511 nm/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C in cavity length domain and it means the cross-sensitivity between pressure and temperature is -0.01076 MPa/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C. The upper pressure limit of the proposed sensor is not achieved, so it would be a more well performance after obtaining its limitation. It holds a great potential for application in marine depth measurements.

Authors

Institutions

Publication Details

Journal
Journal of Lightwave Technology
Published
2025-08-18
DOI
https://doi.org/10.1109/jlt.2025.3599639
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Performance Fiber Optical Pressure Sensor Based on Microsphere Air Bubble Cavity for Depth Measurement in Deep Ocean

Xiong-Hao Su, Wei Deng, Chen-Chen Du, Hong-kun Zheng et al.
Journal of Lightwave Technology
Underwater Vehicles and Communication Systems
article

High-Performance Fiber Optical Pressure Sensor Based on Microsphere Air Bubble Cavity for Depth Measurement in Deep Ocean

Xiong-Hao Su, Wei Deng, Chen-Chen Du, Hong-kun Zheng, Yanan Zhang, Yong Zhao, Ri-Qing Lv, Hao Gong, Yutao Deng
article en

Abstract

A compact high-performance fiber optical pressure sensor with large measuring range, high precision and high stability has been proposed, which is suitable for high-pressure measurement in deep marine environments. It mainly consists of a microsphere air bubble cavity, which is easily fabricated and only formed by splicing a section of hollow core fiber with a single mode fiber and discharging to form the cavity. It has owned a remarkable property to be stable in deep ocean with the pressure up to dozens or hundreds of megapascal. Gold layer is adopted to coat the cavity external surface to increase the reflection to get the sensing spectrum with a high signal to noise. The proposed sensing structure has been studied through theoretically analysis, numerical simulation and experimental research. According to the experimental results, the proposed sensor with cavity length of 300 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m and top thickness of about 7.78 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m, could achieve a high sensitivity of -116.75 pm/MPa in wavelength domain with a linearity of 0.99997 up to 60 MPa, and -23.33 nm/MPa in cavity length domain by demodulation algorithm with a linearity of 1 and accuracy of 0.089%FS, with the limitation of our pressure experimental setup. Moreover, the sensor exhibits an extremely low temperature sensitivity of 0.2511 nm/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C in cavity length domain and it means the cross-sensitivity between pressure and temperature is -0.01076 MPa/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C. The upper pressure limit of the proposed sensor is not achieved, so it would be a more well performance after obtaining its limitation. It holds a great potential for application in marine depth measurements.

Journal of Lightwave TechnologyVol. 43(19)
Northeastern University (CN)
Life below water
Openalex Percentile: Top 75%
Underwater Vehicles and Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.