Abstract

We design and theoretically model a highly sensitive pressure sensor based on lossy mode resonance with a microstructure fiber. The microstructure fiber sensor is manufactured with an exposed-core photonics crystal fiber, on which a TiO2/HfO2/rubber polymer trilayer is coated. Using the sensitive film as a sensing channel avoids filling the air holes with liquid. Strong birefringence with x-polarized and y-polarized peaks is generated because of the asymmetric sensing region. The y-polarization has a higher coupling efficiency and the sensitivity of the y-polarized peak is higher than that of the x-polarization. An extremely high refractive index (RI) sensitivity 67 000 nm/RIU is obtained in the sensing range of 1.33–1.39. The TiO2/HfO2 bilayer film dramatically increases the pressure sensitivity of the sensor to a peak of 5.0μm/MPa, which is 2.5 times more sensitive than previously reported lossy mode resonance (LMR) sensors. In addition, the performance of the sensor is optimized by adjusting the type and thickness of the film. This paper provides a reference for developing a microstructure pressure sensor based on lossy mode resonance.

Highlights

  • Pressure sensors based on an optical fiber have been the subject of extensive research in recent years because optical fiber has a great many advantages over conventional electrical pressure sensors, such as a light weight and anti-electromagnetic interference.1,2 Recently, a series of surface plasmon resonance (SPR) pressure fiber sensors have been proposed in the literature.3–6 The light interaction between a metal and a dielectric interface generates a plasmon oscillation.7 The optical fiber SPR sensor has been utilized in detecting pressure, where maximum sensitivity reaches 1.75 × 103 nm/MPa.8 Compared with sensors based on a Sagnac Interferometer and fiber Brag grating,9,10 it is clear that the SPR pressure sensor has dramatically improved the sensor sensitivity

  • To study the performance of the proposed microstructured fiber optic sensor, we simulate various sample refractive index (RI) ranges, from 1.33 to 1.39. These sample RI values represent polymer density variations because the RI of the polymer is a function of polymer density, which is demonstrated in Eq (6)

  • We described a highly sensitive pressure sensor based on lossy mode resonance with an exposed-core microstructure fiber

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Summary

INTRODUCTION

Pressure sensors based on an optical fiber have been the subject of extensive research in recent years because optical fiber has a great many advantages over conventional electrical pressure sensors, such as a light weight and anti-electromagnetic interference. Recently, a series of surface plasmon resonance (SPR) pressure fiber sensors have been proposed in the literature. The light interaction between a metal and a dielectric interface generates a plasmon oscillation. The optical fiber SPR sensor has been utilized in detecting pressure, where maximum sensitivity reaches 1.75 × 103 nm/MPa. Compared with sensors based on a Sagnac Interferometer and fiber Brag grating, it is clear that the SPR pressure sensor has dramatically improved the sensor sensitivity. A series of surface plasmon resonance (SPR) pressure fiber sensors have been proposed in the literature.. The optical fiber SPR sensor has been utilized in detecting pressure, where maximum sensitivity reaches 1.75 × 103 nm/MPa.. A recent study concluded that an lossy mode resonance (LMR) sensor has numerous advantages over an SPR sensor. LMR fiber optic sensors can be manufactured in a variety of ways. Most of the proposed pressure sensors based on LMR utilize a plastic-clad silica fiber, which has a large core diameter and large numerical aperture. There are various SPR sensors based on microstructure PCF. As yet, no one has proposed a PCF-based LMR pressure sensor. We design and simulate an LMR pressure sensor based on exposed-core grapefruit PCF. The performance of the sensor is optimized by adjusting the type and thickness of the film

Sensor design
Theory
Evalution of refractive index sensitivity
Evalution of pressure sensitivity
Future work
CONCLUSION
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