Research On Technologies Of Machinery Oil Microfluidic Detection

Oil analysis is the important means for monitoring the lubrication and hydraulic transmission condition of machinery equipment, which can effectively diagnose abrasion faults and monitor variability of oil performance of machinery equipments during using. For the requiements of condition monitoring and fault diagnosis of the machinery equipments and by dint of technologies of Micro Electro-Mechanical Systems and image measurement, the oil microfluidic detection system is developed in the thesis, which not only can realize the rapid, simple and integrated analysis, but also has the potential ability of on-line oil monitoring. The research involves the study on the design and machining of chips, motion theory of oil-particle in microchannel, microflow imaging model of oil-particle, moving particle image analysis, particles seperation detetion and oil viscosity measurement. The main contents are listed as follows.1 Analyzing and summarizing national and foreign machinery oil detection technology developing condition including off-line and on-line systems, and the development of micro-fluidic technology. The idea of applying microfluidic technology to oil analysis is put forward, and the advantages and foreground of application of microfluidic technology and image technique in oil analysis are analyzed.2 Introducing the characteristics and machining process of oil detection microfluidic chip, and designing the chip dection pneumatic driving intergrating servo system and observing means.3 The theoretical analysis about oil and particle movement in detection chip's microchannel is carried out, and digital particle image velocity technology is delepoved for measurement of microchannel flow field.4 Establishing microscopical digital imaging model of moving particle in oil, and analyzing affection of various parameters of microscope, vidicon, microfluidic detection chip and oil speed to particle imaging, which construts the foundation of study on the image process methods of micro-flow particle.5 Summarizing the characteristics of images of micro-flow particles, and according as the moving characteristics of particles developing the object extraction methods based on reference frame, and based on the motion-blurred model discussing the problems of restoration of particle images, parameter measurement and type recognition. For the severely degraded oil images, simulating it based on standard debris atlas and studying the variability of various parameters of debrises in severely degraded image. At last constructing debris classfication and recognition system.6 Studying the controlling technology of oil and particles in microflow. Exploring the motion principle of contamination particles affected by both magnetic field and oil flow, and designing oil contamination integrating detection microfluidic chip, and bringing forward the method of calculating oil contamination, ferromagnetic particle and non-ferromagnetic particle's concentrations under their particular classes according to the image gathers from defferent observation spot. Analyzing the relation between the motion parameter and viscosity of two-phase laminar flow, and carrying out the primary experiments.7 Solving several important problems during the practical system development, and introducing the framework of software. Contrasting the system with conventional apparatuses by experiments.