Open AccessNumerical Simulation and Test of filter Resistance of vehicle Wood Fiber Air filter
Author(s) -
Hong yu Liu,
Yan shu Ni
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/587/1/012021
Subject(s) - filter (signal processing) , filtration (mathematics) , materials science , reynolds number , air filter , mechanics , acoustics , composite material , mathematics , engineering , physics , mechanical engineering , turbulence , electrical engineering , statistics , inlet
In order to increase the filter area of vehicle wood fiber air filter, improve the filtration efficiency of air filter, and reduce the filtration resistance of air filter, a kind of W-shaped wood fiber air filter is designed in this paper. Through the existing empirical formulas, it is found that the main factors affecting the filtration resistance are fiber filling ratio, Reynolds number Re and fiber arrangement. In this paper, the filter resistance of air filter is simulated based on Boltzmann method. Firstly, the change curve of filter resistance with filling rate and Reynolds number under parallel arrangement and staggered arrangement is studied, and compared with the existing theoretical formula. Then, by analyzing the fiber equivalent radius, filling rate and filter element thickness of filter resistance, the relationship curve between filter resistance and various influencing factors is obtained. Finally, the theoretical results are verified by using the self-developed filter performance test rig. The results show that the experimental results are in good agreement with the numerical simulation results. The filtration resistance does not change much at low Reynolds number, mainly decreases with the increase of the equivalent radius of the fiber, and increases with the increase of the filling ratio. With the increase of filter thickness, these results provide theoretical basis and suggestions for the structure optimization of air filter.