基于双峰谐振长周期光纤光栅的海水盐度传感器OACSTPCD
A seawater salinity sensor based on dual peaks resonance long period fiber grating
为研制高灵敏海水盐度传感器,本文基于CO2 激光技术成功制备出一种工作在色散转折点(DTP)附近的长周期光纤光栅(LPFG).首先,利用CO2 激光器在 80 μm细单模光纤上制备出工作在DTP附近的LPFG,证明了采用CO2 激光微加工技术制备较短周期LPFG的可能性.其次,通过调控CO2 激光器的制备周期,使高阶包层模式LP1,9 工作在DTP附近,从而显著提高了LPFG的折射率灵敏度.在双峰谐振增敏效应的作用下,当海水盐度从 5.001‰变化到39.996‰时,光栅周期为 115.4 μm的双峰谐振LPFG平均灵敏度高达 0.279 nm/‰.研究结果表明,本文制备的LPFG海水盐度传感器具有谐振损耗大和灵敏度高的优点,其在海水盐度监测领域具有较好的应用前景.
To develop a highly sensitive seawater salinity sensor,a long period fiber grating(LPFG)was suc-cessfully fabricated using CO2 laser technology to function in close proximity to the dispersion turning point(DTP).An LPFG operating near DTP was fabricated in an 80 μm single mode fiber using CO2 laser mi-cromachining technology.This successful endeavor demonstrates the feasibility of developing LPFG with shorter grating period using CO2 laser micromaching technology.LPFGs with varying periods were fabric-ated by adjusting the preparation period of CO2 laser to ensure that the cladding mode LP1,9 was operating near DTP,resulting in higher refractive index sensitivity of LPFG.The average sensitivity of 0.279 nm/‰ can be achieved in the seawater with salinity ranging from 5.001‰ to 39.996‰,especially with the dual peaks resonance LPFG at a period of 115.4 μm,thanks to the dual peaks resonance effect.The dual peaks resonance LPFG seawater salinity sensor exhibits high sensitivity and a large attenuation loss,suggesting po-tential application in seawater salinity monitoring.
杜超;赵爽;宋桦可;王秋雨;贾斌;张丽;崔丽琴;赵强;邓霄
太原理工大学电子信息与光学工程学院,山西太原 030024太原理工大学物理学院,山西太原 030024齐鲁工业大学(山东省科学院)海洋仪器仪表研究所,山东青岛 266061
电子信息工程
光纤光学长周期光纤光栅色散转折点海水盐度CO2 激光技术
fiber opticslong period fiber gratingdispersion turning pointseawater salinityCO2 laser tech-nology
《中国光学（中英文）》 2024 (002)
面向深海温盐深剖面长期监测的高性能光纤传感器阵列基础问题研究
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国家自然科学基金(No.62203320,No.62375198,No.52009088,No.61933004);中国博士后科学基金面上项目(No.2019M661063);山西省回国留学人员科研资助项目(No.2023-039);崂山实验室科技创新项目(No.LSKJ202204703)Supported by National Natural Science Foundation of China(No.62203320,No.62375198,No.52009088,No.61933004);Project funded by China Postdoctoral Science Foundation(No.2019M661063);Research Project Supported by Shanxi Scholarship Council of China(No.2023-039);Science and Technology Innovation Project of Laoshan Laboratory(Qingdao)(No.LSKJ202204703)
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