油液中铁磁金属颗粒检测仪研究

发布时间：2018-08-04 09:53

【摘要】：润滑油的状态检测是保证机械设备安全稳定运行的重要一环,通过准确地在线分析监测润滑油的状态可以监视机械设备的磨损情况,预测故障的发生,及时展开维护与维修,可以大大减少维修成本,降低损失,提高生产效率。铁及其合金材料是构成机械设备零部件的重要成分,当机械零件发生磨损时,铁磁性磨粒会出现在润滑油路中并随油液流动。所以,检测油液中的铁磁性颗粒即可获得机械设备的磨损程度,达到保障安全稳定生产的目的。本课题的目标在于初步研制一台较为实用的油液中铁磁金属颗粒检测仪,检测仪采用双激励反向电感式传感器的设计原理。论文研究了油液中金属颗粒检测传感器的影响参数,分析了影响传感器检测响应的因素及减小其误差、提高稳定性的方法。通过仿真软件,建立出该传感器的有限元二维轴对称模型,确定能产生较大输出的传感器的基本设计参数,作为检测传感器实物制作的理论依据参考。然后根据仿真模型提供的理论基础,设计制作出金属颗粒检测传感器,并且设计制作了铁磁金属颗粒检测仪的相关电路,通过实验验证传感器的性能。最后设计出基于单片机的数据采集系统用来采集传感器的输出,完成油液中金属颗粒检测仪的初步研究与设计。经初步实验,该金属颗粒检测仪能检测到100μm以上的铁磁金属颗粒。论文的主要创新点:(1)在COMSOL仿真实验中建立了与传统“内夹式”基本模型不同的“外套式”新模型,并且对新模型进行了对比研究,得出了优于基本模型的仿真实验结果,取得了传感器模型研究方面的创新,并依照仿真结果对基本模型和新模型进行了实物实验验证。(2)设计了2400~3000Hz频率可调的交流电源,作为传感器的专用激励电源。(3)对传统单位增益滤波器设计进行了改进,实现了带有增益的带通滤波器设计,简化电路结构的同时取得了较好的滤波与放大效果。(4)针对课题设计了数据采集系统,将传感器与单片机数据采集系统结合起来,脱离测量仪(如示波器、电感参数测量仪、光学仪器)的辅助,基本形成一套完整的仪器。
[Abstract]:The condition detection of lubricating oil is an important part of ensuring the safe and stable operation of mechanical equipment. Through accurate on-line analysis and monitoring of the condition of lubricating oil, it can monitor the wear of mechanical equipment, predict the occurrence of failure, and carry out maintenance and repair in time. Can greatly reduce maintenance costs, reduce losses, improve production efficiency. Iron and its alloy materials are important components of mechanical equipment parts. When the mechanical parts are worn, ferromagnetic abrasive particles will appear in the lubricating oil path and flow with the oil. Therefore, the wear degree of mechanical equipment can be obtained by detecting ferromagnetic particles in oil to ensure the safety and stability of production. The aim of this paper is to develop a practical ferromagnetic metal particle detector in oil, which adopts the design principle of double excitation reverse inductance sensor. In this paper, the influence parameters of the metal particle detection sensor in oil are studied, and the factors influencing the sensor's detection response are analyzed, and the methods of reducing the error and improving the stability are analyzed. Through simulation software, the finite element two-dimensional axisymmetric model of the sensor is established, and the basic design parameters of the sensor which can produce large output are determined. Then according to the theoretical basis provided by the simulation model, the metal particle detection sensor is designed and manufactured, and the related circuit of the ferromagnetic metal particle detector is designed and manufactured, and the performance of the sensor is verified by experiments. Finally, a data acquisition system based on single chip microcomputer is designed to collect the output of the sensor, and the preliminary research and design of the metal particle detector in oil are completed. Through the preliminary experiment, the metal particle detector can detect more than 100 渭 m ferromagnetic metal particles. The main innovations of this paper are as follows: (1) in the COMSOL simulation experiment, a new "jacket" model, which is different from the traditional "inner clip" basic model, is established, and the new model is compared and studied, and the results of the simulation experiment which are superior to the basic model are obtained. The research innovation of sensor model is obtained, and the basic model and the new model are verified by the simulation results. (2) the AC power supply with adjustable frequency of 2400~3000Hz is designed. As a special exciting power source for sensor. (3) the design of traditional unit gain filter is improved, and the design of bandpass filter with gain is realized. The circuit structure is simplified and good filtering and amplification effect is achieved. (4) A data acquisition system is designed for the project, which combines the sensor with the single-chip microcomputer data acquisition system, and detaches from the measuring instrument (such as oscilloscope, inductance parameter measuring instrument, etc.) Optical instrument), the basic formation of a complete set of instruments.
【学位授予单位】：济南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH70;TP212

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