DEM simulation for draft force prediction of moldboard plow according to the tillage depth in cohesive soil

Kim, Yeonsoo; Siddique, Md. Abu Ayub; Kim, Wansoo; Kim, Yong Joo; Lee, Sang-Dae; Lee, Dong-Keun; Hwang, Seok-Joon; Nam, Ju–Seok; Park, Seong-Un; Lim, Ryu-Gap

doi:10.1016/j.compag.2021.106368

Cited by 47 publications

(23 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, when the plasticity index is high, such as in loam and clay loam, the cohesive force is very high. The tillage force is significantly different depending on the tillage depth when the hardpan is clearly formed [ 50 ]. Therefore, analysis of soil characteristics according to soil depth is essential.…”

Section: Resultsmentioning

confidence: 99%

Analysis of the Effect of Tillage Depth on the Working Performance of Tractor-Moldboard Plow System under Various Field Environments

Kim

Lee

Baek

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

The purpose of this study was to analyze the tillage depth effect on the tractor-moldboard plow systems in various soil environments and tillage depths using a field load measurement system. A field load measurement system can measure the engine load, draft force, travel speed, wheel axle load, and tillage depth in real-time. In addition, measurement tests of soil properties in the soil layer were preceded to analyze the effect of field environments. The presented results show that moldboard plow at the same tillage depth had a wide range of influences on the tractor’s working load and performance under various environments. As the draft force due to soil–tool interaction occurred in the range of 5.6–17.7 kN depending on the field environment, the overall mean engine torque and rear axle torque were up to 2.14 times and 1.67 times higher in hard and clayey soil, respectively, than in soft soil environments. In addition, the results showed tractive efficiency of 0.56–0.73 and were analyzed to have a lugging ability of 67.8% with a 44% maximum torque rise. The engine power requirement in hardpan was similar within 3.6–9.6%, but the power demand of the rear axle differed by up to 18.4%.

show abstract

Section: Resultsmentioning

confidence: 99%

Analysis of the Effect of Tillage Depth on the Working Performance of Tractor-Moldboard Plow System under Various Field Environments

Kim

Lee

Baek

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…In 2021, a group of researchers proposed a discrete element method (DEM) model of soil-tool interaction that allowed a design of agricultural machines. This method is a simulation of prediction of tractive force as a function of tillage depth using DEM software (Kim et al, 2021). The database generated by the DERT program can give this possibility to specialists to propose agricultural tools that are better adapted to soil working conditions, referring not only to the working depth but also to all the other parameters (working width, working speed, soil parameters and the tool geometry parameters).…”

Section: Resultsmentioning

confidence: 99%

Contribution for Establishment of Software for Determining the Tensile Strength of Agricultural Tools. Simple and Complex Shaped Tools

Baha-Eddine

Mechentel

2022

Acta Technologica Agriculturae

View full text Add to dashboard Cite

The importance of evaluating the energy requirements of soil preparation operations is a concern of researchers specializing in agricultural equipment. To answer such a question, they have proposed several mathematical models for the evaluation of tensile strength. However, given the large number of parameters introduced in these models, the selection of one of these models under specific agro-pedological conditions often poses an issue. Knowing the difficulties of selecting a mathematical model from those proposed in literature, the work presented allows a judicious choice of the model to be used, taking into account the precise working conditions. The work employs the MERISE method (it is a method of analysis, design and management of IT projects) to realize this work. For these purposes, a computer program was designed to quickly determine the tractive effort from a system of information on predefined equipment and working conditions. This program is called DERT (Fr: Détermination de l‘Effort de Résistance à la Traction; En: Determination of Traction Resistance Effort) and grants the possibility to convert the traction effort into energy using the most appropriate mathematical model. This computer tool enables the establishment of a database on the tractive effort and energy requirements of mechanized agricultural work. Eighteen farms permitted testing the DERT program to evaluate the efforts using the appropriate models. A generalization of its use at the level of different farms will allow the creation of a national map of energy needs and thus the optimization of agricultural equipment and energy consumption.

show abstract

“…Makange 10 introduced bonding elements between DEM particles in the contact model to simulate the actual cohesive soil and studied the horizontal and vertical forces and soil disturbance of a plow at different speeds and depths. Kim 11 modeled agricultural soils and predicted tractive forces for different tillage depths, calibrated the DEM soil model using a virtual blade shear test, and performed field tests with a prediction accuracy of 7.5% for tractive forces. AIKINS 12 integrated the hysteretic spring model and linear cohesion model to calibrate the static and rolling friction factors of high-viscosity soils and verified the accuracy of the parameters calibration by comparing them with trenching tests.…”

Section: Introductionmentioning

confidence: 99%

Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods

Zhang

et al. 2023

Sci Rep

View full text Add to dashboard Cite

This report analyzes the problem of complex soil movement patterns under the action of coupled forces, such as tension and shear, in agricultural processes and aims to improve the accuracy of contact parameters used in discrete element simulation studies of rototiller-soil interactions. This study focuses on the soil of Shihezi cotton field in the 8th division of Xinjiang and investigates the rotating tiller roller as a soil-touching component of tillage machinery. A combination of simulations and physical testing is used. We perform angle of repose tests and use edge detection, fitting, and other image processing methods to automatically, quickly, and accurately detect the soil accumulation and angle calibration of the contact parameters with soil particles. Additionally, soil slip tests are conducted to calibrate the contact parameters between the soil and the rotary blades. Optimization is achieved based on orthogonal simulations and the Box-Behnken response surface method using physically measured values as the target. A regression model of the stacking angle and rolling friction angle is established to determine the optimal combination of simulation contact parameters: between soil and soil, the recovery coefficient is 0.402, static friction coefficient is 0.621, and rolling friction coefficient is 0.078; between soil contact parts and soil, the recovery coefficient is 0.508, static friction coefficient is 0.401, and rolling friction coefficient is 0.2. Furthermore, the calibration parameters are selected as contact parameters for the discrete element simulation. By combining the above two simulation methods to analyze and compare the simulation process of cutting soil from rototiller roller parts to rototiller single blade parts, we obtained the changes in energy, cutting resistance, and soil particle movement at different depths of the soil cutting process. Finally, the average cutting resistance was used as an index for validation in the field tests. The measured value is 0.96 kN and the error of the discrete element simulation is 13%. This demonstrates the validity of the calibrated contact parameters and the accuracy of the simulation, which can provide a theoretical reference and technical support for the study of the interaction mechanisms between of tillage equipment parts and soil, as well as the design and optimization of these interactions in the future.

show abstract

DEM simulation for draft force prediction of moldboard plow according to the tillage depth in cohesive soil

Cited by 47 publications

References 40 publications

Analysis of the Effect of Tillage Depth on the Working Performance of Tractor-Moldboard Plow System under Various Field Environments

Analysis of the Effect of Tillage Depth on the Working Performance of Tractor-Moldboard Plow System under Various Field Environments

Contribution for Establishment of Software for Determining the Tensile Strength of Agricultural Tools. Simple and Complex Shaped Tools

Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods

Contact Info

Product

Resources

About