为提高茶叶风选质量,以空气动力学为基础,将茶叶颗粒简化近似为球形颗粒;通过数值计算,研究不同重量的茶叶颗粒在不同的风道口流场(不同风速分布)作用下的漂移轨迹、水平漂移规律,以及风向角对茶叶风选质量的影响,并进行了相关试验验证。结果表明:在风选室相同情况下,风速按上小下大分布,茶叶颗粒群的有效漂移距离大于其他风速分布方案;风向角α=16.3°,风速分布系数β=0.17为最佳风口流场参数组。本研究为优化设计茶叶风选机提供了理论基础。
In order to improve the quality of tea wind-selecting, the tea particles were approximated as spherical particles, and based on aerodynamics, the movement trajectory and horizontal drift of different weight particles under different inlet flow field (different air velocity distributions) of the tea wind-selecting air inlet, and the effect of air velocity angle on quality of tea wind-selecting are investigated through numerical calculation, being combined with experimental verification. The research showed that the effective drift spacing between particles of different weight is greater than the other air velocity distribution program, in the same wind-selecting room, and the air velocity distribution rising from the top to the bottom. The angel of air velocity direction α=16.3° and air velocity distribution coefficient β=0.17 were regarded as the most favorable air inlet flow field parameters. This study provides a theoretical basis for optimization design of tea wind-selecting machine.
[1] 李晋瑜, 褚九云. 茶叶精制加工的主要设备及工艺要求[J]. 福建茶叶, 2005(4): 29-30.
[2] 杨先海, 吕传毅. 塑料优化分选设备风选运动特性分析和试验[J]. 机械工程学报, 2007, 43(2): 132-135.
[3] 高建峰. 气流方向与风选效率的理论探讨[J]. 武汉粮食工业学院学报, 1993(2): 36-40.
[4] 刘鹤年. 流体力学[M]. 北京: 中国建筑工业出版社, 2004: 96-98.
[5] Chungen Yin, Lasse Rosendahl, Soren Knudsen Kar, et al. Modelling the motion of cylindrical particles in a nonuniform flow[J]. Chemical Engineering Science, 2003(58): 3489-3498.
[6] 李学军, 陈嘉真. 茶叶在空气流中的悬浮速度[J]. 茶叶科学, 1987, 7(1): 63-64.
[7] R Di Felice.The Voidage Function for Fluid-Particle Interaction Systems[J]. Multiphase Flow, 1994, 20(1): 153-159.
[8] 贾延臣. 基于连续空间优化问题的蚁群算法及其应用研究[D]. 保定: 华北电力大学, 2008: 27-44.
[9] Qianpu Wang, Morten Chr Melaaen, Sunil R De Silva. Investigation and simulation of a cross-flow air classifier[J]. Powder Technology, 2001, 120: 273-280.