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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
科研通AI6应助哭泣的书兰采纳,获得10
2秒前
LEO发布了新的文献求助10
3秒前
流氓恐龙完成签到,获得积分10
3秒前
4秒前
朴实的晓筠完成签到,获得积分10
4秒前
慕青应助小秘采纳,获得10
5秒前
量子星尘发布了新的文献求助10
5秒前
6秒前
7秒前
czl发布了新的文献求助10
8秒前
8秒前
santory发布了新的文献求助20
9秒前
兰彻发布了新的文献求助10
9秒前
9秒前
10秒前
11秒前
11秒前
11秒前
Criminology34应助无异常采纳,获得10
11秒前
传奇3应助HH采纳,获得30
11秒前
情怀应助小刘采纳,获得10
11秒前
yuan完成签到 ,获得积分10
13秒前
13秒前
先林发布了新的文献求助10
13秒前
13秒前
七寻笑发布了新的文献求助10
13秒前
mushini发布了新的文献求助10
14秒前
Akim应助能干储采纳,获得10
15秒前
15秒前
lxm完成签到,获得积分10
16秒前
11赫兹发布了新的文献求助50
17秒前
zhy发布了新的文献求助10
17秒前
sanyue发布了新的文献求助10
17秒前
yy发布了新的文献求助10
18秒前
刘梅发布了新的文献求助10
18秒前
MoonByMoon发布了新的文献求助10
18秒前
18秒前
19秒前
ly完成签到,获得积分10
19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
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5642218
求助须知:如何正确求助?哪些是违规求助? 4758455
关于积分的说明 15016860
捐赠科研通 4800783
什么是DOI,文献DOI怎么找? 2566211
邀请新用户注册赠送积分活动 1524307
关于科研通互助平台的介绍 1483909