扭矩激励下转子系统滑动轴承磨损试验研究

发布时间：2017-12-28 10:39

本文关键词：扭矩激励下转子系统滑动轴承磨损试验研究　出处：《太原理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：燃气轮机、风机、压缩机等大型旋转机械设备是机械、电力、石油化工等行业的关键设备。随着大型旋转机械设备的结构日益细长化和复杂化,转子系统轴系极易受到较大的扭矩扰动影响。在扭矩激励作用下,转子系统滑动轴承磨损状况将发生明显的变化,从而影响转子系统的稳定性。因此,进行扭矩激励下转子系统滑动轴承磨损试验研究可以实现对转子系统的有效监测,保证转子系统安全运输。在自主搭建的单跨-双圆盘转子试验台上进行扭矩激励下转子系统滑动轴承磨损试验,本课题做了以下几方面研究:(1)考虑非线性油膜力以及弹性支承对转子系统的影响,研究了不同扭矩激励下滑动轴承支承处载荷的变化规律,仿真分析了不同扭矩激励下转子系统滑动轴承摩擦副的油膜压力和油膜厚度的变化情况,从而得到了不同扭矩激励下转子系统滑动轴承润滑状态。在转子试验台上进行不同扭矩激励试验,采集转子试验的油样,运用铁谱技术进行油样分析,找出扭矩激励下滑动轴承磨损磨粒的典型特征。通过试验总结出不同扭矩激励下转子系统滑动轴承磨粒的特点,研究扭矩激励条件下转子系统滑动轴承磨损机理。(2)根据扭矩激励下转子系统滑动轴承磨损磨粒浓度随时间的变化规律,选取最小二乘支持向量机回归预测、灰色预测及指数平滑法预测滑动轴承磨损磨粒浓度变化规律,采用一种基于IOWGA算子的组合预测方法,建立了预测转子系统滑动轴承磨损磨粒浓度的组合预测模型及其评价指标体系。实例结果表明,基于IOWGA算子的组合预测模型的预测精度及预测效果明显优于其他三种单项预测法,有效地弥补了单项预测模型的不足,是预测润滑油中磨粒浓度的一种有效的预测方法。(3)系统分析转子系统滑动轴承磨损及寿命的影响因素,研究扭矩激励及转速对转子系统滑动轴承磨损寿命的影响。在转子试验台上进行试验,测得转子系统滑动轴承在不同转速不同定常扭矩工况下的磨损量。在经典Archard磨损模型的基础上,提出改进Archard磨损模型,测算出滑动轴承磨损率与扭矩激励及转速的关系,建立转子系统滑动轴承磨损寿命预测模型,为转子系统滑动轴承维修与更换提供了参考依据。
[Abstract]:Large rotating machinery, such as gas turbine, fan and compressor, is the key equipment in machinery, electric power, petrochemical and other industries. As the structure of large rotating machinery is becoming more and more elongated and complicated, the rotor system shaft system is easily affected by large torque disturbance. Under the torque excitation, the wear status of the sliding bearing of the rotor system will change obviously, thus affecting the stability of the rotor system. Therefore, the test of rotor system sliding bearing wear test under torque excitation can effectively monitor the rotor system and ensure the safe transportation of the rotor system. In the single span self built double disc rotor test-bed torque excitation rotor system of sliding bearing wear test, this paper studied the following aspects: (1) considering the effect of nonlinear oil film force and the elastic support of the rotor system, were studied under different excitation torque sliding bearing load at the simulation, analysis of changes of side pressure and film thickness under different excitation torque rotor system of sliding bearing friction, thus obtained the sliding bearing lubrication state of the rotor system under different torque excitation. Different torque excitation tests were carried out on rotor test rig, oil samples from rotor tests were collected, and oil samples were analyzed by ferrography, and typical characteristics of wear particles of sliding bearings under torque excitation were found out. Through the experiment, the characteristics of the sliding bearing particles of the rotor system under different torque excitation are summarized, and the wear mechanism of the sliding bearing of the rotor system under the torque excitation is studied. (2) according to the torque under the excitation of rotor system of sliding bearing wear particle concentration changes with time, select the least squares support vector machine regression prediction, gray prediction and exponential smoothing prediction of sliding bearing wear particle concentration variation, using a combination forecasting method based on IOWGA operator, was established to predict the wear of sliding bearing rotor system wear particle concentration forecasting model and its evaluation index system. The example shows that the prediction accuracy and prediction effect of the combination forecasting model based on IOWGA operator is better than the other three single prediction methods, which effectively compensate for the shortage of the single prediction model and is an effective prediction method for predicting the wear particle concentration in the lubricating oil. (3) the influence factors of the wear and life of the sliding bearing of the rotor system are analyzed systematically, and the influence of torque excitation and speed on the wear life of the sliding bearing of the rotor system is studied. On the rotor test bench, the wear amount of the rotor system sliding bearing at different rotational speed and constant torque was measured. Based on the classical Archard wear model, improving the Archard wear model, calculate the sliding bearing wear rates and torque excitation and speed, the establishment of a rotor system of sliding bearing wear life prediction model for rotor system of sliding bearing maintenance and replacement to provide reference for.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH133.31

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