长丹华. 基于气固耦合原理的煤矿设备机载除尘器优化设计[J]. 煤矿安全, 2022, 53(6): 101-107.
    引用本文: 长丹华. 基于气固耦合原理的煤矿设备机载除尘器优化设计[J]. 煤矿安全, 2022, 53(6): 101-107.
    CHANG Danhua. Optimization design of dust remover for mine equipment based on gas-solid coupling principle[J]. Safety in Coal Mines, 2022, 53(6): 101-107.
    Citation: CHANG Danhua. Optimization design of dust remover for mine equipment based on gas-solid coupling principle[J]. Safety in Coal Mines, 2022, 53(6): 101-107.

    基于气固耦合原理的煤矿设备机载除尘器优化设计

    Optimization design of dust remover for mine equipment based on gas-solid coupling principle

    • 摘要: 为了提高煤矿井下某设备机载除尘器的除尘效率,对其内部结构进行优化设计研究;通过研究气固两相流中固体颗粒的受力和运动情况,利用沉降机理,分析颗粒重力沉降特性和沉降影响因素,在保证除尘器外形尺寸不变的前提下,合理优化腔体内部结构,提高颗粒沉降和被捕获效率。创新地考虑充分发展流体在除尘器内部不同区域湍流切应力和分子黏性力对流体运动的影响,构造相应的运动控制方程,提高了模拟精度;基于气固耦合,对2种除尘器进行仿真计算,得出颗粒被捕获及沉降效率;同时在同一工况下,对优化前后2种除尘器进行工业性试验。结果表明:优化设计后的除尘器比优化前原机载除尘器除尘效率提高了11.6%,计算机模拟与现场试验误差约1.4%。

       

      Abstract: In order to improve the dust removal efficiency of the dust remover of coal mine equipment, the optimization design of its internal structure is studied. By studying the force and motion of solid particles in gas-solid two-phase flow, and using settling mechanism, analyzing the gravity settling characteristics of particles and influencing factors of settling, the internal structure of the chamber is optimized reasonably on the premise of keeping the size of the precipitator unchanged, and improving the settling and capturing efficiency of particles. The effects of turbulent shear stress and molecular viscous force on fluid motion in different areas of the dust collector were considered innovatively, and the corresponding motion control equations were constructed, which improved the simulation accuracy. Based on the gas-solid coupling, the capture and settling efficiency of particles were obtained by simulation calculation of two kinds of precipitators. At the same time, the industrial test of two kinds of dust removers before and after optimization is carried out under the same working condition. The results show that the dust removal efficiency of the optimized design is increased by 11.6% compared with that of the original dust remover, and the error of computer simulation and field test is about 1.4%.

       

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