| 于洋,任思敏,魏雅鑫,魏梦迪,胡定贤,陈廷敏.基于EDEM的变间距式鲜枸杞分级机设计[J].干旱地区农业研究,2023,(3):266~273 |
| 基于EDEM的变间距式鲜枸杞分级机设计 |
| Design of variable\|spacing fresh wolfberry grading machine based on EDEM |
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| DOI：10.7606/j.issn.1000-7601.2023.03.33 |
| 中文关键词: 鲜枸杞；分级机；变间距式；参数优化 EDEM |
| 英文关键词:fresh wolfberry grading machine variable\|spacing type parameter optimization EDEM |
| 基金项目:陕西省重点研发计划项目（2018GY-077）；陕西省秦创原科技创新专项（2021ZDZX-GY-0006） |
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| 中文摘要: |
| 针对鲜枸杞分级难度高的问题，设计了一种变间距式鲜枸杞分级机，探索其最佳工作参数组合。运用运动结构多视角图像重建技术获取鲜枸杞模型，建立了与实体相似度较高的枸杞模型。利用EDEM软件对不同进料量、分级皮带直径、运行速度及筛面长度进行单因素仿真分析，明确了各个参数对分级效果的影响规律。运用Design-Expert 10.0.1软件设计多因素正交旋转仿真试验并对试验结果进行方差分析和参数优化，仿真试验结果表明：当鲜枸杞的进料量为0.15 kg·s-1、皮带直径为21 mm、运行速度为0.22 m·s-1时，分级精度为96.82%、伤果率为2.09%，加工分级机样机，根据优化所得参数组合进行5组重复分级试验，可得鲜枸杞平均分级精度和伤果率分别为96.37%和2.23%，仿真结果与现场实验拟合度高，满足鲜枸杞分级的作业要求。本文可为其他长卵形果蔬的分级机的设计和优化提供参考。 |
| 英文摘要: |
| Mature fresh wolfberries are characterized by thin skin and tender flesh, short storage time, and susceptibility to damage,so it is difficult to grade fresh wolfberry. To solve this problem,a variable\|spacing type fresh wolfberry grading machine was designed according to the horizontal diameter size of fresh wolfberry. A structure from motion coupled with clustering views for multi\|view stereo technology was used to obtain a model of the fresh wolfberry, and a model of the wolfberry with a high degree of physical similarity was established. EDEM software was used to simulate and analyze different feeding volumes, grading belt diameters, running speeds, and screen lengths, and clarify the influence of each parameter on the classification effect. The results of the simulation tests, designed by the Design\|Expert 10.0.1 software and subjected to ANOVA and parameter optimization, showed that the grading accuracy was 96.82% and the fruit injury rate was 2.09% for a fresh wolfberry feeding volume of 0.15 kg·s-1, a belt diameter of 21 mm and a running speed of 0.22 m·s-1. Five sets of repeated classification tests were performed on the machine，the average grading accuracy and damage rate of fresh wolfberry were 96.37% and 2.23%. The simulation results fitted well with the field experiments and met the operational requirements for grading fresh wolfberry. This study provides references for the design and optimization of grading machines for other long\|oval fruits and vegetables. |
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