SCX分级机进料管流场数值分析与结构优化

Flow field numerical analysis and structure optimization for feeding pipe of SCX superfine classifier

以FLUENT软件为计算平台,气相采用欧拉模型,颗粒相采用DPM模型对SCX超细分级机进料管内流场进行了数值模拟,进料管内部流场不均匀,存在明显的偏流现象。在弯管处添加导流片进行优化,对比分析了导流片数量、尺寸和间距分布形式对压力、速度和颗粒质量浓度分布的影响。结果表明:导流片的添加提高了进料管流场的品质;当导流片数量为5,尺寸为1/4圆弧并在前后加长150 mm(半径的1.2倍),并按等间距分布时,进料管内压力、速度和颗粒质量浓度分布较为均匀,为后续的分级提供了良好的前提。

Euler model and discrete phase model（DPM） were chosen for air phase and particle phase respectively to simulate the flow field of the feeding pipe in SCX superfine classifier based on the software FLUENT.The numerical results reveal that the flow field in the feeding pipe is non-uniform and exhibits obvious channel flow.Guide vanes were employed to optimize the structure of the bended pipe.The influences of the number,size and spacing assignment of guide vanes on the distributions of pressure,velocity and particle mass concentration were comparatively analyzed.The numerical results show that guide vanes can improve the quality of the flow field in the feeding pipe.The optimal conditions for guide vanes installed in the feeding pipe are equally distributed with 5 in number,and 1/4 circle in size with extended length 150 mm（1.2 times of radius） before and after the circle.Accordingly,the pressure,velocity,and particle mass concentration distribution in the feeding pipe are evenly distributed,which provides a good premise for the classification performance.