Up to now, there are some defects and shortages of the commonly-used oil inspection methods for marine power plant, which are single monitoring metrics, low accuracy and lacking of comprehensive diagnosis with multiple approaches. With the rapid development of micro-fluidic technology which has high integration, fast result analysis and size miniaturization, a new technique can be provided for the on-line oil detection in marine power plant. This project proposes a new on-line oil detection method based on micro-fluidic theory in marine power plant, and researches on its key scientific issues. By applying micro-fluidic theory and using laser-induced breakdown spectroscopy (LIBS) technology, this project puts forward a new on-line oil detection mode based on integrated diagnosis by taking multiple approaches. By taking the micro-fluidic chip as the core, we will research on the motion characteristics of the oil-particle two-phase flow in multi-physics field, aiming to realize the controlled manipulation of the oil and particles. We will investigate the detection of the wear condition by using LIBS and inductance techniques to identify the recognition, separation and counting of particles. We will investigate the detection of the state of the lubricating oil by using capacitor and two-phase laminar flow technology to inspect the oil's water content and viscosity on-line. This project will have profound theoretical significance, through researching on the interdisciplinary oil detection problems based on micro-fluidic technology, and integrated diagnosis mechanism problems. This project will have a significant application of prospect for the application of micro-fluidic theory in the comprehensive on-line oil detection and effectively implementation the preventive maintenance strategy of oil detection.
现有常用的船舶动力装置油液检测方法存在检测信息单一、精度不高、缺乏多重手段融合诊断等亟待解决的缺陷和问题。近年来快速发展的具有高度集成、快速分析及体积微型化特点的微流控技术为油液在线检测提供了新的手段。本申请提出基于微流控原理的船舶动力装置油液检测新方法并拟研究其关键科学问题。基于微流控原理并采用激光诱导击穿光谱、电感、电容等技术,本项目提出一种油液在线检测多重手段融合诊断的新方法:以微流控芯片为核心,研究油液-磨粒两相流在多物理场作用下的运动规律,实现油液及磨粒的可控操纵,运用激光诱导击穿光谱和电感技术研究磨粒的识别、分离和统计,实现对磨损状态的检测;利用电容和两相层流技术研究油液水分和粘度在线检测,实现对润滑油状态的检测。本申请对于微流控芯片油液检测交叉学科问题和融合诊断模式及机理的研究具有理论意义;对微流控原理在综合油液在线检测中的应用和有效提升油液检测预防维修水平具有重要应用前景。
船舶动力装置运行状态在线监测是船舶安全航行的重要保障。润滑油状态监测及润滑油中磨粒检测是船舶动力装置状态运行的重要手段。参照申请时研究方案,本项目针对船舶动力装置润滑油,在润滑油油品检测、磨粒检测等方面开展了大量的研究工作。在研究过程中,提出了基于微流控芯片的油液中铁磁性磨粒磁泳连续分离方法,基于惯性力的润滑油中磨粒分离方法,基于相分复用的磨粒多通道检测方法,基于时分复用的磨粒多通道检测方法,基于Y型微流道的黏度测量方法,基于微流控-红外吸收式润滑油水分检测方法,基于微流控技术及LIBS的油液磨粒在线检测方法,基于微流体与图像识别的润滑油污染度分析方法等。针对所提出的新方法,通过理论分析和实验研究,探讨其特征性能。这些新方法的提出,为船舶动力装置润滑油在线监测系统的研发奠定了基础,为智能机舱、甚至是智慧船舶的建设提供了技术支撑。
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数据更新时间:2023-05-31
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