油液颗粒过滤器动态过滤特性仿真与实验研究

Simulation and Experiment Research on Dynamic Filtration Characteristics of Oil Particulate Filter

现有油液颗粒过滤器的过滤模型采用基于时间平均概念的理论过滤比,没有考虑系统温度、流量波动等动态运行因素对过滤比的影响。为此,基于滤前、滤中和滤后的系统理论建立油液颗粒过滤器的动态过滤理论模型,研究基于动态过滤比的油液颗粒过滤器过滤特性。与传统的基于恒定过滤比的方法相比,所提方法考虑重复过滤和重复污染的影响,能够实现对油液颗粒过滤器过滤效果的准确表征。通过机械传动系统污染控制系统的仿真分析与实验研究,验证所提方法的有效性。结果表明:油液颗粒过滤器动态过滤比随着重复过滤率和重复污染率的增大而不断减小;当污染控制系统流量较大、压力较高和温度较低时,油液颗粒过滤器的动态过滤比较大。

In current filtration model,theoretical filtering ratio based on time average concept is adopted,without considering the dynamic operation factors,such as temperature and flow fluctuation.Therefore,a dynamic filtering theoretical model was established for oil particulate filter based on a systematic perspective by divide the filtering process into before filtering,filtering and after filtering,and its filtration characteristics were investigated.Compared with the traditional constant-ratio-based model,in the proposed method,the influence of repeated filtration and repeated pollution were considered to enable an accurate characterization of the filtration effect in the oil particle filter.The effectiveness of the proposed method was verified through simulation analysis and experimental research.The results show that the dynamic filtration ratio decreases with the increases of the repeated filtration rate and repeated pollution rate;when the oil flow and the pressure of the pollution control system is high,and the temperature is low,the dynamic filtration ratio is relatively large.