화학공학소재연구정보센터
Powder Technology, Vol.355, 72-82, 2019
The diffusion and separation of the oil shale in the compound dry beneficiation bed
Oil shale has a high utilization value due to its rich organic matter, and its application potential is huge. However, a large amount of inorganic mineral impurities are involved in the mining process, and the grade of the concentrate can be improved by dry beneficiation. In this paper, the diffusion of the oil shale particles in the compound dry separation bed and the effects of bed characteristic parameters such as sorting tank and transport space on the diffusion process were studied. The force characteristics of the particles during the diffusion process were systematically analyzed, and the 13-0 mm oil shale was sorted. The results show that along the X-axis direction, the particles are subjected to vibration and feed thrust to diffuse through the multi-stage sorting tank to the tailings end to achieve lateral diffusion. Along the Y-axis direction, the particles are gradually diffused from the backing plate region to the discharge side by the back plate thrust and the bed surface vibration. When the height of the sorting tank is 60-65 mm, the particle diffusion in the I, II and III areas of the bed surface is obvious, and the oil content decreases gradually. When the transportation space is 4.75 x 10(4)-5.85 x 10(4) mm(2), the oil contents in the I, II and III regions are balanced with the weakest fluctuation, and the diffusion is remarkable. The force characteristics of the particles were measured: the peak difference of the force in the I region which is the main sorting area was the largest. The peak difference of the force of the particles in the II region is relatively small, which is the transition region. The peak difference of the force of the III region is the smallest, which is the particle transport area. The oil shale was sorted and tested. The oil content and yield of the concentrate are 10.01% and 43.56% respectively, and the oil content and the yield of the tailings was 0.76%, and the yield was 56.44%. The probable error (E) is 0.11. (C) 2019 Elsevier B.V. All rights reserved.