Research on mass distribution regulatory and sieve surface optimization of equal thickness screening based on DEM simulation, J. Qiao, C. Duan, W. Wang, H. Jiang, and Y. Zhao

- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 16
- File Size:
- 2146 KB
- Publication Date:
- Jan 1, 2020
Abstract
DEM simulations were used in this research to study the screening process of a novel variable
amplitude equal thickness vibration screen (VAETVS). The response regularity of mass distribution and
granular moving velocity at the different screen panels to feed rate was investigated and the predictive
model for the unit area processing load was proposed. The influence of aperture size, the size variance,
and the opening ratio on the mass passing-distribution and overall screening performance, respectively,
were revealed. The results showed that the response model of the unit area load Ф to the feed rate Q can
be concluded as Ф∝0.324×Q. The moving velocity of particles also showed a positive relevance to the
feed rate, besides which the passing rate of fine-grained material at the feed end was negatively related
to the aperture size, while the case was reversed in the feed end. The increase of aperture variance AV
enhanced the passing ability of small particles at the feed end,and reduced the misplaced ratio of the
large particles at the discharge end. A better screening efficiency can be obtained when the average
aperture size of the entire sieve is 7.5 mm, with the aperture variance of 1 mm between the adjacent
panels. When the combination of the opening ratio is 35-35-40, a better screening effect can be achieved.
Keywords: Equal thickness screening, DEM, particulate velocity, mass distribution regulation
Citation
APA:
(2020) Research on mass distribution regulatory and sieve surface optimization of equal thickness screening based on DEM simulation, J. Qiao, C. Duan, W. Wang, H. Jiang, and Y. ZhaoMLA: Research on mass distribution regulatory and sieve surface optimization of equal thickness screening based on DEM simulation, J. Qiao, C. Duan, W. Wang, H. Jiang, and Y. Zhao. The Southern African Institute of Mining and Metallurgy, 2020.