Design and Test of Automatic Feeding Device for Shed Pole of Small-Arched Insertion Machine

Q2 Agricultural and Biological Sciences Agriculture Pub Date : 2024-07-19 DOI:10.3390/agriculture14071187
Xiao Chen, Jianling Hu, Yan Gong, Qingxu Yu, Zhenwei Wang, Xiaozhong Deng, Xinguo Pang
{"title":"Design and Test of Automatic Feeding Device for Shed Pole of Small-Arched Insertion Machine","authors":"Xiao Chen, Jianling Hu, Yan Gong, Qingxu Yu, Zhenwei Wang, Xiaozhong Deng, Xinguo Pang","doi":"10.3390/agriculture14071187","DOIUrl":null,"url":null,"abstract":"China’s small-arched shed-building machinery mostly adopts manual pole casting and mechanical planting, which have low building efficiency and mechanization. Therefore, we designed an automatic feeding device for shed poles to realize automatic single separation, orderly conveyance and timely dropping of poles. Considering shed pole-pitching pass rate as the evaluation index for the regression model, we adopted a three-factor, three-level experimental design and established the speed of the reclaiming ring, height of the falling shed poles and reclaiming ring spacing as the main influencing factors, obtaining 23.94 r/min, 408.799 mm and 1350 mm, respectively in experiments with a trellis qualification rate of 95.36%. Design-Expert 13 was used to perform analysis of variance and determine the optimal parameter combinations. The average measured trellis qualification rate in tests with the bench adjusted and the optimal parameter combination was 94.23%, with 1.13% relative error between test and theoretical optimization values. This confirmed the optimal parameter combination’s dependability. In field verification test results, pick-up card ring speed was 24 r/min; height of trellis pole drop, 410 mm; pick-up card ring spacing, 1350 mm; and pitching rate, 95.37%, obtaining 0.01% error compared with theoretically optimized values. The prototype operational performance was stable and satisfied design requirements.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"104 38","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/agriculture14071187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

China’s small-arched shed-building machinery mostly adopts manual pole casting and mechanical planting, which have low building efficiency and mechanization. Therefore, we designed an automatic feeding device for shed poles to realize automatic single separation, orderly conveyance and timely dropping of poles. Considering shed pole-pitching pass rate as the evaluation index for the regression model, we adopted a three-factor, three-level experimental design and established the speed of the reclaiming ring, height of the falling shed poles and reclaiming ring spacing as the main influencing factors, obtaining 23.94 r/min, 408.799 mm and 1350 mm, respectively in experiments with a trellis qualification rate of 95.36%. Design-Expert 13 was used to perform analysis of variance and determine the optimal parameter combinations. The average measured trellis qualification rate in tests with the bench adjusted and the optimal parameter combination was 94.23%, with 1.13% relative error between test and theoretical optimization values. This confirmed the optimal parameter combination’s dependability. In field verification test results, pick-up card ring speed was 24 r/min; height of trellis pole drop, 410 mm; pick-up card ring spacing, 1350 mm; and pitching rate, 95.37%, obtaining 0.01% error compared with theoretically optimized values. The prototype operational performance was stable and satisfied design requirements.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
小型弧形插入机梭杆自动送料装置的设计与测试
我国小拱棚建设机械多采用人工投杆和机械栽植,建设效率和机械化程度低。因此,我们设计了一种棚杆自动送杆装置,实现了自动分单、有序输送、及时落杆。以棚杆投料合格率作为回归模型的评价指标,采用三因素、三级试验设计,将取料环速度、落棚杆高度和取料环间距确定为主要影响因素,在试验中分别得到 23.94 r/min、408.799 mm 和 1350 mm,大棚合格率为 95.36%。使用 Design-Expert 13 进行方差分析,确定了最佳参数组合。在使用台架调整和最佳参数组合进行的试验中,测得的平均大棚合格率为 94.23%,试验值和理论优化值之间的相对误差为 1.13%。这证实了优化参数组合的可靠性。在现场验证测试结果中,拾取卡环速度为 24 r/min;大棚杆下落高度为 410 mm;拾取卡环间距为 1350 mm;俯仰率为 95.37%,与理论优化值相比误差为 0.01%。样机运行性能稳定,满足设计要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Agriculture
Agriculture Agricultural and Biological Sciences-Horticulture
CiteScore
1.90
自引率
0.00%
发文量
4
审稿时长
11 weeks
期刊介绍: The Agriculture (Poľnohospodárstvo) is a peer-reviewed international journal that publishes mainly original research papers. The journal examines various aspects of research and is devoted to the publication of papers dealing with the following subjects: plant nutrition, protection, breeding, genetics and biotechnology, quality of plant products, grassland, mountain agriculture and environment, soil science and conservation, mechanization and economics of plant production and other spheres of plant science. Journal is published 4 times per year.
期刊最新文献
Effects of Abscisic Acid on Rice Seed Dormancy: Antioxidant Response and Accumulations of Melatonin, Phenolics and Momilactones Classification of Degradable Mulch Films and Their Promotional Effects and Limitations on Agricultural Production Deep Learning with a Multi-Task Convolutional Neural Network to Generate a National-Scale 3D Soil Data Product: The Particle Size Distribution of the German Agricultural Soil Landscape Enhanced Food-Production Efficiencies through Integrated Farming Systems in the Hau Giang Province in the Mekong Delta, Vietnam The Influence of Nitrogen and Sulfur Fertilization on Oil Quality and Seed Meal in Different Genotypes of Winter Oilseed Rape (Brassica napus L.)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1