Discrete element model construction and dehulling simulation verification based on harvested quinoa grains

离散元法 生物系统 数学 近似误差 校准 压缩(物理) 材料科学 算法 模拟 计算机科学 复合材料 结构工程 机械 统计 工程类 物理 生物
作者
Hongbin Bai,Yingsi Wu,Yiming Ma,Dezheng Xuan,Du Wenliang,Fei Liu,Xuan Zhao
出处
期刊:Journal of Food Science [Wiley]
标识
DOI:10.1111/1750-3841.17510
摘要

Abstract The dry dehulling process of quinoa grains faces challenges such as poor visibility and unclear dynamic response characteristics, leading to irrational settings of the shelling process and high losses of the final processed product. Simulation methods provide an effective solution to this issue, with the accuracy of the simulation model being crucial. In this study, using the Experts in Discrete Element Modeling (EDEM) simulation software, based on the biological characteristics and mechanical properties of the grains, a method was proposed to construct a discrete‐element simulation model for the double‐layer bonding of the quinoa grain using the three‐axis spatial coordinates method. The Plackett–Burman method, the steepest rise method and the Box–Behnken method were used to simulate the compression test. The bonding parameters of the quinoa grain were calibrated. The parameters were further validated by constructing a mechanical shear test. Finally, the process of the dehulling quinoa grain was simulated in a dry dehulling equipment. The results showed that the relative error between the simulated and actual maximum compression force of the quinoa grains was 0.32%. The breaking shear force in the simulation had a relative error of no more than 5% compared to the actual measurements. In the simulation, the dehulling rate and broken rice rate were 78.54% and 1.38%, respectively, which exceeded the bench test values (75.32% for dehulling rate and 1.24% for broken rice rate) by 3.22% and 0.14%, respectively. The error was within the acceptable range. The calibration of the discrete element model parameters for quinoa grains was accurate, reflecting the mechanical properties differences between the rice and the pericarp effectively, providing a reliable basis for optimizing the design of dry dehulling mechanisms.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
欧新胜发布了新的文献求助10
刚刚
慕青应助迷路的藏鸟采纳,获得10
刚刚
顾矜应助dtmdg采纳,获得10
1秒前
1秒前
软为发布了新的文献求助10
2秒前
bi8bo完成签到,获得积分10
2秒前
852应助wop111采纳,获得10
3秒前
3秒前
我是老大应助盛欢采纳,获得10
3秒前
3秒前
浮游应助chen采纳,获得10
3秒前
3秒前
纪你巴发布了新的文献求助10
4秒前
黎日新完成签到,获得积分10
4秒前
kw87完成签到,获得积分10
5秒前
舔g出击完成签到,获得积分10
6秒前
Ava应助芋泥小天才采纳,获得10
7秒前
沉123发布了新的文献求助10
7秒前
芋圆完成签到 ,获得积分20
9秒前
LLLUO发布了新的文献求助10
9秒前
niruicheng发布了新的文献求助10
9秒前
韩立完成签到,获得积分20
11秒前
11秒前
鲁远望应助加菲丰丰采纳,获得10
12秒前
称心曼安应助niruicheng采纳,获得10
13秒前
lhxie完成签到,获得积分10
14秒前
15秒前
开心如冬发布了新的文献求助10
15秒前
慕青应助fananan采纳,获得10
15秒前
DYZ完成签到,获得积分10
16秒前
zzzdx发布了新的文献求助10
16秒前
舒博博完成签到,获得积分10
17秒前
17秒前
上官若男应助一条小鱼采纳,获得10
17秒前
cutterlet发布了新的文献求助10
17秒前
耍酷的梦桃完成签到,获得积分10
17秒前
18秒前
大个应助JuntaoWang采纳,获得10
19秒前
Annie完成签到,获得积分20
19秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5354035
求助须知:如何正确求助?哪些是违规求助? 4486507
关于积分的说明 13966675
捐赠科研通 4386923
什么是DOI,文献DOI怎么找? 2410096
邀请新用户注册赠送积分活动 1402435
关于科研通互助平台的介绍 1376249