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 , Seyed Hossein Karparvarfard , Naser Razavizadeh , Mehari Tekeste , Aghil Moazeni_kalat , Mohammad Amin Nematollahi , Moslem Namjoo , 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 , Seyed Hossein Karparvarfard , Naser Razavizadeh , Mehari Tekeste , Aghil Moazeni_kalat , Mohammad Amin Nematollahi , Moslem Namjoo , 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}
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.
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.