MEASUREMENT OF PHYSICAL PROPERTY PARAMETERS AND SIMULATIVE CALIBRATION OF DEM PARAMETERS FOR GREEN ONION SEEDS

IF 0.6 Q4 AGRICULTURAL ENGINEERING INMATEH-Agricultural Engineering Pub Date : 2023-08-17 DOI:10.35633/inmateh-70-13
Chong Tao, Zhiye Mo, Fang-hai Lu, Zhihe Li, Dianbin Su, Yinping Zhang
{"title":"MEASUREMENT OF PHYSICAL PROPERTY PARAMETERS AND SIMULATIVE CALIBRATION OF DEM PARAMETERS FOR GREEN ONION SEEDS","authors":"Chong Tao, Zhiye Mo, Fang-hai Lu, Zhihe Li, Dianbin Su, Yinping Zhang","doi":"10.35633/inmateh-70-13","DOIUrl":null,"url":null,"abstract":"The contact parameters setting determines the accuracy of discrete element method (DEM) simulation analysis, while there is a lack of research on contact parameters of green onion seed. In this paper, the physical parameters of green onion seeds were measured by experiment, and the DEM parameters were calibrated by simulation. Based on EDEM software, the Hertz-Mindlin no-slip model was used to create the particle model of green onion seeds that takes on the shape of peltate with the irregular surface, and the repose angle was measured by the measurement method of lifted cylinder. Plackett-Burman test was designed to screen the significance of parameters, and the optimal range of significance parameters was further determined through the steepest climbing test. Then the regression model of seeds repose angle was obtained by Box-Behnken test and the optimal parameter combination was calculated: the static friction factor between seeds was 0.424, the rolling friction factor was 0.085, the static friction factor between seeds and steel was 0.310. The optimized repose angle in the simulation had an overall relative error of 0.54%, indicating that the contact parameters of the calibrated green onion seed had high accuracy.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INMATEH-Agricultural Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35633/inmateh-70-13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

The contact parameters setting determines the accuracy of discrete element method (DEM) simulation analysis, while there is a lack of research on contact parameters of green onion seed. In this paper, the physical parameters of green onion seeds were measured by experiment, and the DEM parameters were calibrated by simulation. Based on EDEM software, the Hertz-Mindlin no-slip model was used to create the particle model of green onion seeds that takes on the shape of peltate with the irregular surface, and the repose angle was measured by the measurement method of lifted cylinder. Plackett-Burman test was designed to screen the significance of parameters, and the optimal range of significance parameters was further determined through the steepest climbing test. Then the regression model of seeds repose angle was obtained by Box-Behnken test and the optimal parameter combination was calculated: the static friction factor between seeds was 0.424, the rolling friction factor was 0.085, the static friction factor between seeds and steel was 0.310. The optimized repose angle in the simulation had an overall relative error of 0.54%, indicating that the contact parameters of the calibrated green onion seed had high accuracy.
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
大葱种子物性参数测量及dem参数模拟标定
接触参数的设置决定了离散元法(DEM)仿真分析的准确性,而对大葱种子接触参数的研究还比较缺乏。本文通过实验测量了青葱种子的物理参数,并通过模拟对DEM参数进行了标定。基于EDEM软件,采用Hertz-Mindlin无滑移模型,建立了表面不规则呈骨盆状的大葱种子颗粒模型,采用举升筒测量法测量休止角。设计Plackett-Burman检验筛选参数的显著性,通过最陡爬坡检验进一步确定显著性参数的最优范围。然后通过Box-Behnken检验得到种子休止角的回归模型,并计算出最优参数组合:种子之间的静摩擦系数为0.424,滚动摩擦系数为0.085,种子与钢之间的静摩擦系数为0.310。仿真优化后的休止角总体相对误差为0.54%,表明标定后的葱籽接触参数具有较高的精度。
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
INMATEH-Agricultural Engineering
INMATEH-Agricultural Engineering AGRICULTURAL ENGINEERING-
CiteScore
1.30
自引率
57.10%
发文量
98
期刊最新文献
TECHNICAL AND ENVIRONMENTAL EVALUATION OF USING RICE HUSKS AND SOLAR ENERGY ON THE ACTIVATION OF ABSORPTION CHILLERS IN THE CARIBBEAN REGION. CASE STUDY: BARRANQUILLA ALGORITHM FOR OPTIMIZING THE MOVEMENT OF A MOUNTED MACHINETRACTOR UNIT IN THE HEADLAND OF AN IRREGULARLY SHAPED FIELD STUDY ON THE INFLUENCE OF PCA PRE-TREATMENT ON PIG FACE IDENTIFICATION WITH KNN IoT-BASED EVAPOTRANSPIRATION ESTIMATION OF PEANUT PLANT USING DEEP NEURAL NETWORK DESIGN AND EXPERIMENT OF A SINGLE-ROW SMALL GRAIN PRECISION SEEDER
×
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