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茶叶科学 ›› 2025, Vol. 45 ›› Issue (6): 1066-1082.

• 研究报告 • 上一篇    下一篇

基于交叉气流的茶鲜叶团聚体分散装置设计与试验

贾江鸣1,2, 沈懿凡1, 陈建能1,2, 郇晓龙1,2, 武传宇2,3,*   

  1. 1.浙江理工大学机械工程学院,浙江 杭州 310018;
    2.浙江农业智能感知与机器人全省重点实验室,浙江 杭州 310018;
    3.浙江海洋大学,浙江 舟山 316022
  • 收稿日期:2025-03-28 出版日期:2025-12-15 发布日期:2025-12-10
  • 通讯作者: *cywu@zstu.edu.cn
  • 作者简介:贾江鸣,男,副教授,主要从事智能农业机械和农业机器人研究。
  • 基金资助:
    国家自然科学基金(U23A20175)、浙江省领雁研发攻关计划(2022C02052)、国家现代农业产业技术体系(CARS-19)

Design and Experiment of Fresh Tea Leaf Agglomeration Dispersing Device Based on Cross Airflow

JIA Jiangming1,2, SHEN Yifan1, CHEN Jianneng1,2, HUAN Xiaolong1,2, WU Chuanyu2,3,*   

  1. 1. School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China;
    2. Key Laboratory of Agricultural Intelligent Perception and Robotics of Zhejiang Province, Hangzhou 310018, China;
    3. Zhejiang Ocean University, Zhoushan 316022, China
  • Received:2025-03-28 Online:2025-12-15 Published:2025-12-10

摘要: 茶鲜叶分选可实现茶叶高值化,但茶鲜叶易形成团聚体且难以分散,影响分选结果和效率。通过交叉气流分散茶鲜叶中的团聚体,交叉气流茶鲜叶团聚体分散装置由机架、对射光电传感器、输送带、滑轨、观察板、活动铰链、气嘴等部件组成。基于CFD-DEM联合仿真,分析了气嘴偏移量、气嘴行内间距、气嘴倾斜角度对分散程度的影响;采用Design-Expert 13软件设计三因素三水平正交试验方案,利用响应面优化得到了最佳参数组合。样机试验结果表明,气嘴采用最佳参数组合布置时,分散后得到的茶鲜叶散落矩形面积为0.343 m2、茶鲜叶面积占比为0.241,相较于未进行分散的茶鲜叶物料分别提升了90.6%和50.6%,且试验值与预测值的相对误差均小于5%。本装置实现了茶鲜叶团聚体的有效分散,为后续精准分选提供了理想的物料预处理条件。

关键词: 茶鲜叶团聚体, 分散装置, 交叉气流, 仿真分析

Abstract: Sorting fresh tea leaves can achieve high value tea production, but fresh tea leaves are prone to agglomeration and difficult to disperse, which affects the sorting results and efficiency. In this paper, disperse aggregates in fresh tea leaves by cross airflow. The fresh tea leaf agglomeration dispersing device based on cross airflow consists of a frame, opposite-facing photoelectric sensor, conveyer belt, slide rail, observation plate, movable hinge, air nozzle and other components. Based on CFD-DEM joint simulation, the influence of the air nozzle offset, air nozzle line spacing, and tilt angle of air nozzle on the dispersion degree was analyzed. Design-Expert 13 software was used to design a three-factor, three-level orthogonal test protocol, and the optimal parameter combination was obtained using response surface optimization. The experimental results show that when the air nozzle was arranged with the optimal combination of parameters, the rectangular area of dispersed fresh tea leaves obtained after dispersion was 0.343 m2, and the percentage of fresh tea leaves area was 0.241, which were 90.6% and 50.6% higher than the tea fresh leaf material without dispersion, respectively. The relative errors between the experimental and predicted values was less than 5%. This device achieved effective dispersion of fresh tea leaf agglomerates, providing ideal material pretreatment conditions for subsequent accurate sorting.

Key words: fresh tea leaf agglomeration, dispersing device, cross airflow, simulation analysis

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