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茶叶科学 ›› 2013, Vol. 33 ›› Issue (1): 60-66.doi: 10.13305/j.cnki.jts.2013.01.006

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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1, 杨韬1, 乔欣1, 钟江1, 欧长劲1, 王世峰2, 赵章风1,*   

  1. 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
  • 收稿日期:2012-06-05 修回日期:2012-07-04 出版日期:2013-02-28 发布日期:2019-09-04
  • 通讯作者: *i12fly@163.com
  • 作者简介: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。
  • 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 Xian1, YANG Tao1, QIAO Xin1, ZHONG Jiang1, OU Chang-jing1, WANG Shi-feng2, ZHAO Zhang-feng1,*   

  1. 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:2012-06-05 Revised:2012-07-04 Online:2013-02-28 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。

关键词: 茶叶, 空气动力学, 漂移轨迹, 风选质量

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.

Key words: tea, aerodynamics, movement trajectory, quality of wind-selecting

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