This paper shows the results of simulation of features and usability of a proposed method for particle matter (PM) separation detection based on composite electric field. Considering the composite electric field and drag coefficient, a nonlinear dynamic model of particle separation is established. Meanwhile, the model takes into account the changes in the dynamic model caused by the different diameters and different speeds of the particles, and uses the effect of the composite electric field to separate the PM. Numerical simulation results show that the PM diameter, electric field strength, and drag force have significant effects on the separation of particles. Among them, as the drag force decreases, the particle separation displacement gradually increases, and the electric field affects the particle separation direction. In the acceleration room, the particle velocity increases with the increasing of the electric field strength. In the separation room, the displacement of the particulate matter in the Y-axis direction gradually increases from a negative displacement to a positive displacement as the electric field strength increases. The displacement forms a bow shape. When the drag coefficient is changed, the displacement will suddenly increase while it is lower than a certain value. Considering the change of electric field and drag force at the same time, the separation effect would be more obvious when the drag coefficient is smaller. The electric field strength affects the separation direction of the particulate matter.
The fine particles (PM2.5) has become a major air pollution problem in China, and PM2.5 mass concentration monitor was used to measure the concentration of PM2.5, and whether it is accurate or not determines the quality of the atmosphere. In this study, the uncertainty of the calibration device of PM2.5 mass concentration monitor was estimated. By analyzing the source of the uncertainty of calibration device, the analytical method of the uncertainty was determined. It was proved that when the aerosol concentration were 50μg/m3, 200μg/m3 and 500μg/m3, the expanded uncertainty of the calibration device were 0.90%, 0.90% and 10.02% respectively, and it showed that the major influence factor of the uncertainty of the calibration device was the mass concentration indication error.
The ISO12103-1 A2 test dust was used as the reference in the calibration device of the atmospheric particle monitor to investigate the performance of the self-made standard dust in this study. The result indicated that when the aerosol concentration of the calibration device was 500μg/m3,400μg/m3, 200μg/m3,100μg/m3 and 50μg/m3, the stability of self-made standard dust was close to the ISO12103-1 A2 test dust. In addition, when the aerosol with high concentration of 500μg/m3, medium concentration of 200μg/m3 and low concentration of 50μg/m3, the homogeneity and obtained concentration of the self-made standard dust and the ISO12103-1 A2 test dust evaluated by filter membrane sampling were not much differencd. Therefore, the self-made standard dust can replace ISO12103-1 A2 test dust to be used in the calibration device of particle monitor.
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