节点文献

荸荠振动筛分式自动分级机设计与试验

Design and performance test of water chestnut vibrating screening automatic classifier

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 卫佳孟繁越陈学玉周勇张国忠刘浩蓬

【Author】 Wei Jia;Meng Fanyue;Chen Xueyu;Zhou Yong;Zhang Guozhong;Liu Haopeng;College of Engineering, Huazhong Agricultural University;Key Laboratory of Agricultural Equipment, Middle and Lower Yangtze River, Ministry of Agriculture and Rural Affairs;

【通讯作者】 刘浩蓬;

【机构】 华中农业大学工学院农业农村部长江中下游农业装备重点实验室

【摘要】 针对荸荠人工分级效率低、成本高、缺少专用分级机等产业需求,设计一种荸荠振动筛分式自动分级机。首先,通过预试验和仿真试验,确定影响荸荠分级准确率的分级机工作参数。然后,基于ADAMS构建自动分级机关键部件振动筛的运动学仿真模型,分析确定曲柄长度及曲柄电机转速调节范围。运用Design—Expert软件设计三因素三水平Box—Behnken试验,并开展荸荠自动分级试验,分析得出影响总体分级准确率的较大因素依次为曲柄电机转速和筛板倾角。再以总体分级准确率最大为目标对分级机工作参数进行优化,得到最优工作参数为进料喂入量9.73 kg/min、筛板倾角2.11°、曲柄电机转速105.96 r/min。最后,基于优化后的工作参数进行荸荠分级验证试验。试验结果表明,自动分级机能高精度完成分级工作,总体分级准确率达到95.87%,试验值与模型预测值误差小于5%。为荸荠及类似不规则、易损伤的农业物料在产后自动分级的技术提升提供有效参考。

【Abstract】 Aiming at the industrial challenges such as low efficiency, high costs, and the lack of dedicated grading equipment for manual water chestnut grading, a vibrating screening-based automatic classifier specifically designed for water chestnuts was developed. Firstly, preliminary experiments and simulation tests were conducted to identify the operational parameters of the classifier that affect the grading accuracy of water chestnuts. A kinematic simulation model of the vibrating screen, the core component of the automatic classifier was then established by using ADAMS software to analyze and determine the crank length and the adjustable range of the crank motor speed. A three-factor and three-level Box—Behnken experiment was designed by using the Design—Expert software, and the automatic grading experiment of water chestnuts was carried out. The results revealed that the crank motor speed and sieve plate inclination angle were the most significant factors influencing overall grading accuracy. Subsequently, the operational parameters of classifier were optimized to maximize overall grading accuracy, the optimal working parameters were obtained by the feeding amount of 9.73 kg/min, sieve plate inclination of 2.11°, crank motor speed of 105.96 r/min. Finally, a water chestnut grading validation test was conducted based on the optimized operational parameters. The test results demonstrated that the automatic grading machine achieved high-precision grading, with an overall grading accuracy of 95.87% and the error between the test value and the model prediction value was less than 5%. This study provides an effective reference for the improvement of post-harvest automatic grading technologies for water chestnuts and similar irregular, damage-prone agricultural materials.

【基金】 国家特色蔬菜产业技术体系岗位专家资助项目(CARS—24—D—02);湖北省高等学校优秀中青年科技创新团队计划项目(T201934)
  • 【文献出处】 中国农机化学报 ,Journal of Chinese Agricultural Mechanization , 编辑部邮箱 ,2026年03期
  • 【分类号】S226.5
  • 【下载频次】22
节点文献中: 

本文链接的文献网络图示:

本文的引文网络