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风道口流场对茶叶漂移轨迹及风选质量影响分析

  • 张宪 ,
  • 杨韬 ,
  • 乔欣 ,
  • 钟江 ,
  • 欧长劲 ,
  • 王世峰 ,
  • 赵章风
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  • 1. 浙江工业大学特种装备制造与先进加工技术教育部重点实验室,浙江 杭州 310014;
    2. 浙江上洋机械有限公司,浙江 衢州 324000
张宪(1954— ),男,浙江杭州人,教授,硕士生导师,主要从事农业装备及自动化研究。

收稿日期: 2012-06-05

  修回日期: 2012-07-04

  网络出版日期: 2019-09-04

基金资助

国家“十二五”科技支撑计划项目(2011BAD29B12)、浙江省自然科学基金(LQ12C13004)、浙江省科技厅重点科技创新团队项目(2011R09001)

Study on Effect of Air Inlet Flow Field on the Tea Particles Drift Distance and Quality of Wind-selecting

  • ZHANG Xian ,
  • YANG Tao ,
  • QIAO Xin ,
  • ZHONG Jiang ,
  • OU Chang-jing ,
  • WANG Shi-feng ,
  • ZHAO Zhang-feng
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  • 1. Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education, Zhejiang University of Technology, Hangzhou 310014, China;
    2. Zhejiang Shangyang Machinery Co., Ltd, Quzhou 324000, China

Received date: 2012-06-05

  Revised date: 2012-07-04

  Online published: 2019-09-04

摘要

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。

本文引用格式

张宪 , 杨韬 , 乔欣 , 钟江 , 欧长劲 , 王世峰 , 赵章风 . 风道口流场对茶叶漂移轨迹及风选质量影响分析[J]. 茶叶科学, 2013 , 33(1) : 60 -66 . DOI: 10.13305/j.cnki.jts.2013.01.006

Abstract

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.

参考文献

[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.
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