土壤与旋耕机相互作用的模拟,以预测旋耕机的功率消耗和表层土壤混合的研究

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE
Mojtaba Mohammadi , Seyed Hossein Karparvarfard , Naser Razavizadeh , Mehari Tekeste , Aghil Moazeni_kalat , Mohammad Amin Nematollahi , Moslem Namjoo , Mohammad Ali Rostami
{"title":"土壤与旋耕机相互作用的模拟,以预测旋耕机的功率消耗和表层土壤混合的研究","authors":"Mojtaba Mohammadi ,&nbsp;Seyed Hossein Karparvarfard ,&nbsp;Naser Razavizadeh ,&nbsp;Mehari Tekeste ,&nbsp;Aghil Moazeni_kalat ,&nbsp;Mohammad Amin Nematollahi ,&nbsp;Moslem Namjoo ,&nbsp;Mohammad Ali Rostami","doi":"10.1016/j.still.2025.106626","DOIUrl":null,"url":null,"abstract":"<div><div>Simulation methods are essential for understanding the intricate interactions between soil and tillage implements. Using these methods, the impacts of three forward speeds (3, 5, and 7 km.h<sup>−1</sup>), two tillage depth (100 and 150 mm), and two rotational speed (180 and 230 rpm) on the rotary tiller power consumption were examined, along with an investigation of surface soil mixing in the field. Analysis of variance on the field data indicated that all treatments and their two-way interactions, except for the three-way interaction, had significant effects on power consumption at the 5 % probability level. The simulation successfully predicted power consumption and surface soil mixing, with an average mean relative percentage error of 6.65 % and 9.32 %, respectively. To develop a model for predicting power consumption, tillage operations under 12 additional conditions of soil density and moisture content were simulated utilizing EDEM 2022 software. The mean relative percentage error between the predicted power consumption results by the regression model and the simulation and field data was calculated to be 7.68 % and 7.31 %, respectively, which are within the acceptable range. In this study, the highest level of mixing occurred at 1/3–1/2 of the tillage depth, with the ratio of rotor linear speed to forward speed values between 2 and 5. The findings indicate that the discrete element method (DEM) is a powerful method capable of optimizing and designing rotary tillers.</div></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"252 ","pages":"Article 106626"},"PeriodicalIF":6.1000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation of interaction between soil and rotary tiller to predict the power consumption and investigation of surface soil mixing\",\"authors\":\"Mojtaba Mohammadi ,&nbsp;Seyed Hossein Karparvarfard ,&nbsp;Naser Razavizadeh ,&nbsp;Mehari Tekeste ,&nbsp;Aghil Moazeni_kalat ,&nbsp;Mohammad Amin Nematollahi ,&nbsp;Moslem Namjoo ,&nbsp;Mohammad Ali Rostami\",\"doi\":\"10.1016/j.still.2025.106626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Simulation methods are essential for understanding the intricate interactions between soil and tillage implements. Using these methods, the impacts of three forward speeds (3, 5, and 7 km.h<sup>−1</sup>), two tillage depth (100 and 150 mm), and two rotational speed (180 and 230 rpm) on the rotary tiller power consumption were examined, along with an investigation of surface soil mixing in the field. Analysis of variance on the field data indicated that all treatments and their two-way interactions, except for the three-way interaction, had significant effects on power consumption at the 5 % probability level. The simulation successfully predicted power consumption and surface soil mixing, with an average mean relative percentage error of 6.65 % and 9.32 %, respectively. To develop a model for predicting power consumption, tillage operations under 12 additional conditions of soil density and moisture content were simulated utilizing EDEM 2022 software. The mean relative percentage error between the predicted power consumption results by the regression model and the simulation and field data was calculated to be 7.68 % and 7.31 %, respectively, which are within the acceptable range. In this study, the highest level of mixing occurred at 1/3–1/2 of the tillage depth, with the ratio of rotor linear speed to forward speed values between 2 and 5. The findings indicate that the discrete element method (DEM) is a powerful method capable of optimizing and designing rotary tillers.</div></div>\",\"PeriodicalId\":49503,\"journal\":{\"name\":\"Soil & Tillage Research\",\"volume\":\"252 \",\"pages\":\"Article 106626\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil & Tillage Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167198725001801\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil & Tillage Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167198725001801","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

模拟方法对于理解土壤和耕作工具之间复杂的相互作用是必不可少的。利用这些方法,研究了三种前进速度(3、5和7 km.h−1)、两种耕作深度(100和150 mm)和两种转速(180和230 rpm)对旋耕机功率消耗的影响,并对田间表土混合情况进行了调查。现场数据方差分析表明,除三向交互作用外,所有处理及其双向交互作用在5 %的概率水平上对电耗有显著影响。模拟结果表明,该模型能较好地预测能耗和土壤混合情况,平均相对误差分别为6.65 %和9.32 %。为了建立一个预测电力消耗的模型,利用EDEM 2022软件模拟了12种土壤密度和水分含量的额外条件下的耕作操作。回归模型预测结果与仿真及现场数据的平均相对百分比误差分别为7.68 %和7.31 %,均在可接受范围内。在本研究中,在1/3 ~ 1/2的耕作深度处混合程度最高,转子线速度与正向速度之比在2 ~ 5之间。结果表明,离散元法是旋耕机优化设计的一种有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of interaction between soil and rotary tiller to predict the power consumption and investigation of surface soil mixing
Simulation methods are essential for understanding the intricate interactions between soil and tillage implements. Using these methods, the impacts of three forward speeds (3, 5, and 7 km.h−1), two tillage depth (100 and 150 mm), and two rotational speed (180 and 230 rpm) on the rotary tiller power consumption were examined, along with an investigation of surface soil mixing in the field. Analysis of variance on the field data indicated that all treatments and their two-way interactions, except for the three-way interaction, had significant effects on power consumption at the 5 % probability level. The simulation successfully predicted power consumption and surface soil mixing, with an average mean relative percentage error of 6.65 % and 9.32 %, respectively. To develop a model for predicting power consumption, tillage operations under 12 additional conditions of soil density and moisture content were simulated utilizing EDEM 2022 software. The mean relative percentage error between the predicted power consumption results by the regression model and the simulation and field data was calculated to be 7.68 % and 7.31 %, respectively, which are within the acceptable range. In this study, the highest level of mixing occurred at 1/3–1/2 of the tillage depth, with the ratio of rotor linear speed to forward speed values between 2 and 5. The findings indicate that the discrete element method (DEM) is a powerful method capable of optimizing and designing rotary tillers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信