Structured fibers for low noise random lasers and multi-parameter sensing

用于低噪声随机激光器和多参数传感的结构化光纤

• 批准号: RGPIN-2020-06302
• 负责人: Bao, Xiaoyi
• 金额: $ 5.46万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=741149
• 关键词: Structured; fibers; low; noise; random

This proposal focuses on design and fabrication of fiber structures to minimalize random laser noise in ultra-narrow linewidth (<100Hz) applications to enable us to detect and locate hydrophone sources at sea, as well as to hear abnormal sounds created by defects and cracks in bridges, railways, airplanes, pipelines, power generators (nondestructive testing -NDT). An instrument for real time coherence, frequency drift and monitoring at narrow linewidth (<100Hz) laser will be developed based on coherent optical time domain reflectometry (C-OTDR).The long structured fiber enables distributed multi-parameter sensing in addition to distributed acoustic sensing (DAS). The low noise random fiber laser will create a new class of narrow linewidth laser at low cost for potential novel field applications, which will enables the lowest frequency detection and overcomes current laser limitations, thus allowing detection of pipeline leaks and use in hydrophone applications. Small frequency jitter minimizes phase uncertainty for small deformations and crack monitoring in NDT. The development of quantum noise-limited random fiber lasers and real time laser dynamic characterization based on coherent OTDR lead to groundbreaking advances in random fiber lasers and laser characterization tools. The distributed vector acoustic sensor is highly original and likely to create pioneering contributions to the field of fiber sensors. The proposed distributed fiber optical acoustic sensors will revolutionize NDT technology for monitoring railways, highway bridges, oil/gas transportation, as well as seismic monitoring for natural disaster prevention, which are extremely relevant to Canada. It will also provide new physics for low noise lasers, high precision sensors and optical signal processing units to make discoveries that could not be made up to now. The design and development of structured specialty fibers provide opportunities for low noise laser control and multi-functional parameter sensing. This is extremely original in the distributed vector acoustic wave detection and fiber sensor fields. The enhanced multi-parameter sensing sensitivity enables applications for the biomedical fields. The compact optical test instruments will offer a diagnostic tool with high accuracy and potentially low cost, which will benefit Canadian society. The proposal involves photonics, materials, instrumentation, nano-device design and fabrication, electronics, computer program. It is very comprehensive program that will require and combine students of various backgrounds to solve interdisciplinary problems. It will also create a very fertile training ground to attract HQPs of diverse backgrounds from around the world. I anticipate that training in the proposed program will allow these students to acquire and enhance their technical and management skills, making them highly sought after by IT industry, government and academia.

该提案的重点是设计和制造光纤结构，以最大限度地减少超窄线宽（<100 Hz）应用中的随机激光噪声，使我们能够检测和定位海上水听器源，以及听到桥梁，铁路，飞机，管道，发电机（无损检测-NDT）中的缺陷和裂缝产生的异常声音。基于相干光时域反射技术（C-OTDR），研制了一种窄线宽（<100 Hz）激光器的真实的时间相干、频率漂移和监测仪器，利用长结构光纤实现了分布式声传感（DAS）和分布式多参数传感。 低噪声随机光纤激光器将以低成本为潜在的新领域应用创建新类别的窄线宽激光器，这将实现最低频率检测并克服当前激光器的限制，从而允许检测管道泄漏并用于水听器应用。小的频率抖动最大限度地减少了NDT中小变形和裂纹监测的相位不确定性。量子噪声限制随机光纤激光器和基于相干OTDR的真实的激光动态特性的发展导致了随机光纤激光器和激光特性工具的突破性进展。分布式矢量声传感器是非常原始的，并可能创造开创性的贡献，光纤传感器领域。拟议的分布式光纤声学传感器将彻底改变无损检测技术，用于监测铁路，公路桥梁，石油/天然气运输，以及用于预防自然灾害的地震监测，这些都与加拿大非常相关。它还将为低噪声激光器，高精度传感器和光学信号处理单元提供新的物理学，以实现迄今为止无法实现的发现。结构化特种光纤的设计和开发为低噪声激光控制和多功能参数传感提供了机会。这在分布式矢量声波检测和光纤传感领域都是非常有独创性的。增强的多参数传感灵敏度使生物医学领域的应用成为可能。紧凑的光学测试仪器将提供一种高精度和潜在低成本的诊断工具，这将有利于加拿大社会。 该提案涉及光子学、材料学、仪器仪表、纳米器件设计与制造、电子学、计算机程序。这是一个非常全面的计划，将需要和联合收割机不同背景的学生解决跨学科的问题。它还将创造一个非常肥沃的培训场地，吸引来自世界各地不同背景的HQP。我预计，在拟议的计划的培训将使这些学生获得和提高他们的技术和管理技能，使他们受到IT行业，政府和学术界的高度追捧。