摘要
针对目前柑橘人工分级效率低,现有自动化分级设备成本高、无法灵活移动的问题,设计一款基于双螺旋输送装置的车载式柑橘分级系统。在阐述总体结构及工作原理的基础上,结合柑橘翻转特性,得到影响柑橘翻转稳定性的主要因素为螺距、轴心距、挡条高度和转速;通过SolidWorks Motion运动学仿真,优化双螺旋机构主要参数的取值范围;运用Box-Behnken中心组合设计方法进行响应面试验,得到最优参数组合为螺距77.97 mm,轴心距65.67 mm,挡条高度36.35 mm,转速161.83 r/min。样机试验表明,对于果径规格60~100 mm的柑橘,在最优参数组合下,平均全表面获取率均可达到96%,满足柑橘在线检测的要求。研究为类球形水果的车载式在线检测系统的研发提供参考。
To address the challenges of low efficiency in manual citrus grading,high costs,and the immobility of existing automatic citrus grading systems,a truck-mounted grading system based on a double screw conveyor was developed.Based on its overall structure and operational principles and considering the rotational characteristics of citrus fruits,the main factors influencing citrus rotational stability were identified as screw pitch,axis distance,bar height and rotational speed.The value range of key parameters for double screw mechanism was optimized by using SolidWorks Motion simulation.The response surface test was carried out by Box-Behnken center combination design,and the optimal parameter combination was obtained as follows:screw pitch 77.97 mm,axis distance 65.67 mm,bar height 36.35 mm,and rotational speed 161.83 r/min.Prototype test shows that for citrus fruits with diameters ranging from 60 to 100 mm,the system can achieve an average full surface acquisition rate of 96% under the optimal parameter combination,which meets the requirements for online citrus detection.The research provides a reference for the development of an truck-mounted online detection system for spherical fruits.
作者
蔡健荣
李奇洋
孙力
乔宇
朱文辉
CAI Jianrong;LI Qiyang;SUN Li;QIAO Yu;ZHU Wenhui(School of Food and Biological Engineering,Jiangsu University,Zhenjiang 212013,China)
出处
《包装与食品机械》
北大核心
2024年第6期57-64,共8页
Packaging and Food Machinery
基金
国家重点研发计划项目(2022YFD2002204)
国家现代农业产业技术体系项目(CARS-26)。
关键词
柑橘
双螺旋
机器视觉
全表面采集
citrus
double screw
machine vision
full surface acquisition
