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利用静电传感器和SC-010型环境试验箱等硬件搭建了吸入颗粒物静电监测模拟实验平台,并在此实验平台上展开了针对航空发动机吸入颗粒物静电感应特性的模拟实验研究,成功获取相应静电监测信号。实验设置颗粒材料、管道流速、颗粒粒径和颗粒投入质量4种变量作为变量条件,分别进行4组单一变量的对比实验,采集在不同颗粒材料、不同管道流速、不同颗粒粒径以及不同颗粒质量浓度环境下带电颗粒所产生的静电感应信号,对每组实验信号的活动率水平(AL)、正/负事件率(PER/NER)和绝对平均幅值等特征参数进行相应的数据分析和对比,并得到了一些有用的结论。实验发现,上述4种变量条件分别对静电感应信号的绝对时域平均幅值、AL参数、PER/NER参数有不同程度的影响。
Electrostatic sensors and SC-010 environment test chamber were used to build an electrostatic monitoring simulation platform for inhalation particles. On this experimental platform, simulation experiments on the electrostatic induction characteristics of aeroengine particles were carried out, and the corresponding electrostatic monitoring signals were successfully obtained. The experiment set the four variables of granular material, pipe flow rate, particle size and particle input quality as the variable conditions, respectively, four groups of single variable comparative experiments were collected in different particulate materials, different pipe flow velocity, different particle size and different particle quality The electrostatic induction signals generated by the charged particles in the concentration environment were analyzed and compared with the characteristic parameters such as activity rate (AL), positive / negative event rate (PER / NER) and absolute average amplitude of each experimental signal, And got some useful conclusions. The experimental results show that the above four variable conditions have different degrees of influence on the absolute time-average amplitude, AL parameter and PER / NER parameter of the electrostatic induction signal respectively.