Review of Material Parameter Calibration Method

Fang, Weiquan; Wang, Xinzhong; Han, Dianlei; Chen, Xuegeng

doi:10.3390/agriculture12050706

Cited by 25 publications

(14 citation statements)

References 87 publications

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“…Using the discrete element method to study the disturbance of tillage machine to soil can make a microscopic analysis of the interaction between the machine and soil, which is one of the indicators of tools optimization. However, the discrete element method simulation needs accurate parameter measurement and calibration, and needs to choose the appropriate particle contact model for more accurate simulation results [96]. During simulation, particle size also has a great impact on the accuracy of simulation results.…”

Section: Discussionmentioning

confidence: 99%

Review of the Research on Soil Disturbance by Tools

et al. 2022

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The discrete element method can be used to analyze the interaction between tools and soil. It can be used to guide the optimal design of tools, but the appropriate simulation and test method selected is important to achieve the goal. This paper mainly introduces the disturbance of soil by tillage tools. The disturbance of the soil by tools include soil loosening, soil movement, and soil mixing. The disturbance contour is used to visually display the disturbance results, and the cross-sectional area, lateral soil throwing amount, ditch ridge height, ditch width, and ditch backfill are used to characterize the cross-sectional shape. Tracers are usually used to track soil particles to visually display the particle movement path during disturbance; this can be used to study the soil disturbance trend by the tools. When parameters and models are appropriate, the movement and contact of microscopic soil particles can be accurately simulated. By comparing the particle behavior of simulation and experiment, the contact model and contact parameters can be verified. The method introduced provides a reference for the optimal design of the tools and the research of disturbance by the tools.

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Section: Discussionmentioning

confidence: 99%

Review of the Research on Soil Disturbance by Tools

et al. 2022

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“…When the external force on the particles is greater than the bonding force between the particles, the bonding bonds between the particles break down, resulting in the deformation of the pot and matrix loss. Consequently, the model selected to examine the forces between the pot particles and the pot damage processes was the Hertz-Mindlin with bonding model [28,29]. The fundamental particles of the model used for this work were spherical.…”

Section: Establishment Of the Drop Impact Model Between The Pot And T...mentioning

confidence: 99%

Establishment of the Interaction Simulation Model between Plug Seedlings and Soil

Zeng,

Cui,

et al. 2023

Agronomy

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Currently, the simulation parameters for the model of the interaction between the transplanter, the plug seedlings, the soil, and the pot damage mechanism still need to be clarified. The optimization design of the planters and the improvement of planting quality are still urgent issues that need to be solved. In this paper, the simulation parameters of the pot and the soil were calibrated based on the pressure distribution measurement technology. With the actual collision impact force and matrix loss rate as the targets, a four-factor, three-level orthogonal test was designed to obtain the optimal parameters. Through the optimization analysis of the experimental results, it could be concluded that the pot–soil restitution coefficient, the pot–soil static friction coefficient, the pot–soil rolling friction coefficient, and the surface energy were 0.31, 0.88, 0.35, and 1.07 J/m2, respectively. The experimental verification of the optimal parameter combination showed that the relative error of the collision impact force was 1.65% and that the relative error of the matrix loss rate was 2.32%, which verified the model’s reliability. Based on the optimal parameters, the movement law of the hole tray seedlings was studied at different positions during the transplanting process. The plug seedlings collided not only with the planter but also with the soil, which led to the breakage and looseness of the pot structure. The relative error between the matrix loss rate of the transplanter inserting soil, the matrix loss rate of the transplanter that did not enter the soil, and the simulated matrix loss rate was less than 10%, which further proved the accuracy of the simulation model.

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“…The key to its successful application in agricultural engineering is the rapid and precise calibration of discrete element simulation parameters (Zhang et al., 2023; Zhou et al., 2022). The parameters required for discrete element model simulation can be categorized into two groups: material intrinsic parameters (density, shear modulus, and Poisson's ratio) and contact parameters (restitution coefficient, static friction coefficient, and rolling friction coefficient) (Coetzzee, 2017; Fang et al., 2022). The intrinsic parameters can be measured through experiments, whereas the contact parameters are microscopic, making them difficult or impossible to obtain through direct measurement.…”

Section: Introductionmentioning

confidence: 99%

Measurement and calibration of gluten pellets discrete element parameters at varied moisture content

Ben,

Sun,

Zhu

et al. 2024

Journal of Food Science

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To quickly calibrate the discrete element parameters (DEP) of pellets with different moisture content (MC), the angle of repose (AoR) was taken as the target value to conduct experimental and simulation research on gluten pellets. The experimental method obtained the intrinsic parameters, contact parameters, and AoR of pellets with different moisture content. The parameters differed significantly under different moisture content (p < 0.05). The AoR‐MC model (R2 = 0.987) was established. The Plackett–Burman test, steepest ascent test, and center compound test were carried out to establish the AoR‐DEP model (R2 = 0.969) with a relative error less than or equal to 2.07%. The MC‐DEP model was derived, and verified by the side plate lifting method with a relative error less than or equal to 2.58%. This paper provides a new method for calibrating DEP under different moisture content.

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Review of Material Parameter Calibration Method

Cited by 25 publications

References 87 publications

Review of the Research on Soil Disturbance by Tools

Review of the Research on Soil Disturbance by Tools

Establishment of the Interaction Simulation Model between Plug Seedlings and Soil

Measurement and calibration of gluten pellets discrete element parameters at varied moisture content

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