Calibration of discrete element parameters of crop residues and their interfaces with soil

Adajar, Joash Bryan; Alfaro, Marolo C.; Chen, Ying; Zeng, Zhiwei

doi:10.1016/j.compag.2021.106349

Cited by 28 publications

(7 citation statements)

References 35 publications

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“…Gao, Shang & Xu, (2022), selected Hertz-Mindlin with JKR Cohesion model to calibrate straw-soil mixing model parameters, which provided reference and theoretical basis for studying key components of implement contacting soil in Huang Huai marine double cropping area. Adajar et al, (2021), used the discrete element method to calibrate five crop residues parameters and simulate interactions with soil, which proved the reliability of the discrete element method to simulate interactions. Zhang et al, (2017), used discrete element method consistent with soil particles characteristics to calibrate sand particles, and the dynamic behavior, velocity field, and force field of soil particles were studied based on discrete element method.…”

Section: Introductionmentioning

confidence: 85%

Calibration of Discrete Element Parameter of Soil in High-Speed Tillage

LI,

DIAO,

ZHAO

et al. 2023

INMATEH

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For the problem of lacking reliable values of soil parameters required for dynamic simulation analysis of soil under high-speed tillage, no-tillage soil was taken as the research object and its parameters were calibrated using the discrete element method in this study. The Edinburgh Elasto-Plastic Adhesion (EEPA) model was determined as the soil contact model by obtaining the loading force-deformation relationship through uniaxial sealing compression tests. The regression equation was established using Plackett-Burman test and quadratic orthogonal rotation test, and the interaction effects were analyzed. The measured values of the pile angle and strain were obtained through the pile angle test and the uniaxial seal compression test, and the optimal solution was carried out. Further, the simulated values and the measured values under the optimal parameters were compared and verified, the result showed that the error values were all less than 1%. Finally, the soil model was used for high-speed tillage simulation analysis, and the obtained soil particle displacement and groove width were compared with the measured values. It was found that the ditch width error value was 3.04% and the soil displacement was basically the same. This study proved that the contact model parameters were relatively reliable, which could provide theoretical reference for the dynamic characteristics of soil during high-speed cultivation of no-tillage soil.

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Section: Introductionmentioning

confidence: 85%

Calibration of Discrete Element Parameter of Soil in High-Speed Tillage

LI,

DIAO,

ZHAO

et al. 2023

INMATEH

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“…Shu Caixia [30] simulated the cleaning process of oilseed rape cyclone separation and cleaning operation and found that the errors of the cleaning rate and loss rate were less than 10% compared with the bench test, which is of reference significance. Joash Bryan Adajar [31] carried out a variety of shear tests between field residues and soil and found that the relative error was less than 2% through the measurements of the stress-displacement and friction angle, which is a better observation of the interaction mechanism between the straw and the soil. The interaction mechanism between straw and soil, in addition to modeling for Panax ginseng, sunflower seeds, rice, wheat, and so on [32][33][34][35][36][37][38][39][40], can show their respective contact characteristics relatively well.…”

Section: 𝛽 = 𝑙𝑛𝑒mentioning

confidence: 99%

A Review of Contact Models’ Properties for Discrete Element Simulation in Agricultural Engineering

Zhao,

Wu,

Jiang

2024

Agriculture

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In agricultural engineering, the discrete element simulation of the operational structure, object of movement, and force has become a standard method of modern agricultural equipment design. The selection and development of an appropriate contact model are critical factors affecting the accuracy of the process of the simulation calculation of the movement and force. Understanding how to choose or establish suitable contact models according to different research fields, objects, and purposes has become the focus of present research. This paper gives an overview of contact models for discrete element simulation, summarizes and analyzes the simulation calculation basis of different contact models, and focuses on the application status and scenarios of different models at this stage. It analyzes and summarizes the selection basis and application fields of contact models. The next direction in the development of discrete element simulation contact models should be the hybrid application of multicontact models and the precise development of specialized contact models. It is necessary to establish a standardized parameter-calibration process for different contact models to guarantee the accuracy of the models, to improve the application of computer arithmetic, and to establish an efficient and accurate simulation contact model selection and application in the field of agricultural engineering. Efficient and accurate simulation contact model selection, design theory, and calculation processes will improve the efficiency of modern agricultural machinery design.

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“…Zhang et al [49] performed the angle of repose test to calibrate soil-soil contact parameters including the coefficient of static friction and rolling friction coefficient. Similar studies have been carried out to calibrate the contact parameters in grain-grain, soil-residue, and soil-grain interactions [50,[63][64][65]. Most existing models employed the contact models implemented in DEM software.…”

Section: Model Parametersmentioning

confidence: 99%

“…Previous studies reported the implementation of DEM in examining soil-crop, soil-residue, or soil-seed interactions along with the interface of different implements [49,63,65,[71][72][73][74][75]. For example, Zeng et al [65] simulated the emergence dynamics of soybean seedlings through the soil and quantified cotyledon-soil dynamic characteristics including soil resistance, number of the contact points between soil particles and cotyledon, and soil kinetic energy.…”

Section: Applications Of Dem In Soil-plant-machine Interaction Studiesmentioning

confidence: 99%

Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

et al. 2023

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The study of soil–plant–machine interaction (SPMI) examines the system dynamics at the interface of soil, machine, and plant materials, primarily consisting of soil–machine, soil–plant, and plant–machine interactions. A thorough understanding of the mechanisms and behaviors of SPMI systems is of paramount importance to optimal design and operation of high-performance agricultural machinery. The discrete element method (DEM) is a promising numerical method that can simulate dynamic behaviors of particle systems at micro levels of individual particles and at macro levels of bulk material. This paper presents a comprehensive review of the fundamental studies and applications of DEM in SPMI systems, which is of general interest to machinery systems and computational methods communities. Important concepts of DEM including working principles, calibration methods, and implementation are introduced first to help readers gain a basic understanding of the emerging numerical method. The fundamental aspects of DEM modeling including the study of contact model and model parameters are surveyed. An extensive review of the applications of DEM in tillage, seeding, planting, fertilizing, and harvesting operations is presented. Relevant methodologies used and major findings of the literature review are synthesized to serve as references for similar research. The future scope of coupling DEM with other computational methods and virtual rapid prototyping and their applications in agriculture is narrated. Finally, challenges such as computational efficiency and uncertainty in modeling are highlighted. We conclude that DEM is an effective method for simulating soil and plant dynamics in SPMI systems related to the field of agriculture and food production. However, there are still some aspects that need to be examined in the future.

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Calibration of discrete element parameters of crop residues and their interfaces with soil

Cited by 28 publications

References 35 publications

Calibration of Discrete Element Parameter of Soil in High-Speed Tillage

Calibration of Discrete Element Parameter of Soil in High-Speed Tillage

A Review of Contact Models’ Properties for Discrete Element Simulation in Agricultural Engineering

Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

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