Calibration of Simulation Parameters for Fresh Tea Leaves Based on the Discrete Element Method

休止角 离散元法 分类 数学 校准 圆柱 材料科学 生物系统 算法 模拟 复合材料 几何学 计算机科学 机械 物理 统计 生物
作者
Dongdong Li,Rongyang Wang,Yingpeng Zhu,Jianneng Chen,Guofeng Zhang,Chuanyu Wu
出处
期刊:Agriculture [MDPI AG]
卷期号:14 (1): 148-148 被引量:6
标识
DOI:10.3390/agriculture14010148
摘要

To address the problem of a lack of accurate parameters in the discrete element simulation study of the machine-picked fresh tea leaf mechanized-sorting process, this study used machine-picked fresh tea leaves as the research object, established discrete element models of different fresh tea leaf components in EDEM software version 7.0.0. based on the bonded particle model using three-dimensional scanning inverse-modeling technology, and calibrated the simulation parameters through physical tests and virtual simulation tests. Firstly, the intrinsic parameters of machine-picked tea leaves were measured using physical tests; the physical-stacking tea leaf test was conducted using the cylinder lifting method, the tea leaf repose angle being 32.62° as measured from the stacking images using CAD. With the physical repose angle as the target value, the Plackeet–Burman test, the steepest-ascent test and the Box–Behnken optimization test were conducted in turn, and the results showed that the static friction coefficient between tea leaves, the rolling friction coefficient between tea leaves and the static friction coefficient between tea leaves and PVC have a major effect on the repose angle, and the optimal combination of the three significant parameters was determined. Finally, five simulations were conducted using the optimal combination of parameters, the relative error between the repose angle measured by the simulation test and the physical repose angle being just 0.28%. Moreover, the t-test obtained p > 0.05, indicating that there was no significant difference between the simulation test results and the physical test results. The results showed that the calibrated discrete element simulation parameters obtained could provide a reference for the discrete element simulation study of fresh tea leaves.
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
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
周钦完成签到,获得积分20
刚刚
草木人完成签到,获得积分10
1秒前
1秒前
情怀应助早日毕业采纳,获得30
1秒前
微笑的人形立牌完成签到,获得积分10
2秒前
2秒前
小菜熊ya完成签到,获得积分20
2秒前
AAAAAAAAAAA完成签到,获得积分10
3秒前
3秒前
HY完成签到,获得积分20
3秒前
4秒前
4秒前
礼岁岁完成签到 ,获得积分10
4秒前
甜蜜笑阳完成签到,获得积分10
5秒前
song完成签到,获得积分20
6秒前
孤独的凌翠给孤独的凌翠的求助进行了留言
6秒前
yuani111应助小木木壮采纳,获得10
8秒前
OIIII发布了新的文献求助10
8秒前
Owen应助优雅惜雪采纳,获得10
8秒前
zjy完成签到,获得积分10
9秒前
9秒前
geold发布了新的文献求助10
10秒前
海鸥别叫了完成签到 ,获得积分10
11秒前
标致白晴发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
无花果应助詹姆斯采纳,获得10
16秒前
16秒前
hailicy发布了新的文献求助10
17秒前
贾哲宇发布了新的文献求助20
18秒前
SuShuo发布了新的文献求助10
19秒前
Ava应助LALALA卫卫J采纳,获得10
20秒前
李健应助123456采纳,获得10
20秒前
20秒前
21秒前
优雅惜雪发布了新的文献求助10
21秒前
纔比完成签到 ,获得积分10
22秒前
小蘑菇应助科研通管家采纳,获得10
23秒前
pluto应助科研通管家采纳,获得10
23秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
The Laschia-complex (Basidiomycetes) 600
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3540600
求助须知:如何正确求助?哪些是违规求助? 3117879
关于积分的说明 9332947
捐赠科研通 2815724
什么是DOI,文献DOI怎么找? 1547709
邀请新用户注册赠送积分活动 721130
科研通“疑难数据库(出版商)”最低求助积分说明 712481