基于Fluent的韭菜气吹清洗系统的设计与试验

Design and Experiment of Leek Air Blowing Cleaning System Based on Fluent

目前,国内部分根茎类蔬菜清洗技术已经有了不错的进展,但叶菜类等易损伤蔬菜的清洗技术进展缓慢,急需清洗技术相关的理论体系与设备。为此,创新性地采用气吹式清洗方法,运用Fluent软件分析计算得到流场结果与韭菜的风压分布,确定了韭菜受力最大值集中点,即分别在迎风面、韭菜叶中部、根部及正对喷嘴的位置,且这些位置在实际中会产生一定的位移量。同时,结合速度云图与筛网空隙反馈,提出优化喷嘴流速的解决方法并通过三因素二次旋转正交组合试验与台架试验综合测得数据:当清洗量为0.993kg、清洗时间为46.693s、气吹强度为2.391m/s时,气吹效果最好,洗净率86.3%,破碎率3.5%。研究结果为易损伤蔬菜的清洗方法与流程提供了理论基础与方向。

At present,some domestic root vegetable cleaning technology has made good progress,but the cleaning technology of leafy vegetables and other vulnerable vegetables has been slow,and the theoretical system and equipment related to cleaning technology are urgently needed.For this reason,the equipment innovatively adopts the air-blown cleaning method,and uses the Fluent software to analyze and calculate the flow field results and the wind pressure distribution of the chives,and determine the concentration point of the maximum stress on the chives.The middle,the root and the position facing the nozzle,and these positions will produce a certain amount of displacement in practice.Therefore,this test combines the velocity cloud map and the feedback of the screen gap,and proposes a solution to optimize the nozzle flow rate.The data is comprehensively measured through the three-factor quadratic rotation orthogonal combination test and the bench test:when the cleaning volume is 0.993kg and the cleaning time is 46.693s,when the air blowing intensity is 2.391m/s,the air blowing effect is the best.At this moment,the cleaning rate is 86.3% and the damage rate is 3.5%.It provides a theoretical basis and direction for the cleaning method and process of easily damaged vegetables.