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胶带运输系统粉尘运动规律及控制技术模拟研究

Simulation Study on Dust Movement Law and Control Technology of Belt Conveyor System

  • 摘要: 为解决胶带运输系统粉尘逸散问题,获取密闭通风除尘设计的优化参数,以某选煤厂动筛车间为研究背景,依据气—固两相流理论,建立空气、粉尘紊流的离散模型;运用Fluent软件对胶带运输系统中的气流及粉尘运动规律进行模拟,分析研究吸尘罩安装位置及结构参数对粉尘治理效果的影响。研究结果表明,气流及粉尘运动轨迹基本吻合,粉尘轨迹略有滞后;吸尘罩加装位置不受胶带运输速度影响,只取决于气流运动轨迹及粉尘滞后距离;吸尘罩加装在距下料口1.0~1.5 m处,且吸尘罩采用正四棱台形状、棱台锥角控制在60°~70°、棱台高度在0.4~0.6 m、吸风量在8 000~12 000 m3/h时,除尘系统的除尘效果最佳、工作效率最高。通过现场密闭通风除尘实例,验证了所建模型的科学性及模拟结果的可靠性。

     

    Abstract: In order to solve the dust diffusion problem of the belt conveyor system and obtain the optimal parameters for the airtight ventilation and dust removal design, the discrete model of air and dust turbulence was set up by taking the movable-sieve workshop of a coal preporation plant as the research background and according to the gas-solid two-phase flow theory; simulation was made on the air flow and dust movement law in the belt conveyor system by using Fluent software, and analysis was carried out on the influence of the installation position and the structural parameters of the dust suction hood upon the dust control effect of the belt conveyor system. The research results showed that trajectory of air and dust flow was basically consistent, and the trajectory of dust flow was slightly lagged; the the installation position of the dust suction hood was not affected by the speed of the belt conveyor system, but was only determined by the trajectory of the air flow and the lag distance of the dust flow; the dust suction hood was installed at the place 1.0 m to 1.5 m away from the discharge outlet, the dust suction hood was in a frustum shape of a rectangular pyramid, and the cone angle of the frustum of a square pyramid was controlled within 60° to 70° and its height within 0.4 m to 0.6 m, and the the air volume within 8 000 m3/h to 12 000 m3/h, under such conditions, the dust removal system has the best effect and the highest operation efficiency. The dust removal test by airtight ventilation at the site proved the science of the model and the reliability of the simulation results.

     

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