化学工程2012，Vol.40Issue(4)：31-35,5.
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
摘要
Abstract
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.关键词
超细分级机/进料管/导流片/计算流体力学Key words
superfine classifier/ feeding pipe/ guide vanes/ computational fluid dynamics分类
矿业与冶金引用本文复制引用
刁雄,李双跃,李良超,黄鹏..SCX分级机进料管流场数值分析与结构优化[J].化学工程,2012,40(4):31-35,5.基金项目
国家科技支撑计划资助项目(2011BAA04B04) （2011BAA04B04）
西南科技大学研究生创新基金资助项目(11ycjj30) （11ycjj30）
四川省教育厅重点项目(09ZB094) （09ZB094）
