A discrete element model of seed-soil dynamics in soybean emergence

Gong, Hao; Zeng, Zhiwei; Qi, Long

doi:10.1007/s11104-019-04007-y

Cited by 14 publications

(6 citation statements)

References 29 publications

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“…Quite a lot of works devoted to the study of the interaction of active working organs with the soil [38,39]. There are also separate studies modeling the interaction of seeds and soil [40,41], fertilizer granules and soil [42].…”

Section: Existing Methods Of Simulating Sowing Devicementioning

confidence: 99%

Design and Research Sowing Devices for Aerial Sowing of Forest Seeds with UAVs

2021

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Modern unmanned aerial vehicles (UAV) can be effectively used for aerial sowing of forests. A feature of aerial sowing is the possibility of rapid reforestation at low costs, which is extremely important in the current environmental situation. The purpose of this study is to develop a set of sowing devices intended for use with UAVs. For this, the metering devices and seed distribution devices were analyzed, used on the UAV or having prospects for such use. The existing studies of metering devices, implemented by numerical methods, are analyzed. Further, the synthesis of eight different designs of sowing devices in the 3D CAD was carried out and their comparative assessment was completed in terms of mass and a set of technological parameters. Based on its results, a sowing device was selected that is most suitable for a specific given technology. Discrete Element Method (DEM) was used to simulate the workflow: imitation of loading of the sowing device, study of work in various modes, study of the process of impact interaction of seeds with the soil environment. The complex of developed sowing devices can provide sowing of almost any type of forest seeds within the framework of various technologies and soil climatic conditions.

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Section: Existing Methods Of Simulating Sowing Devicementioning

confidence: 99%

Design and Research Sowing Devices for Aerial Sowing of Forest Seeds with UAVs

2021

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“…The geometric model and the fertilizer particle model were imported into the EDEM software, and the contact mechanics relationship and the particle factory were set up through a creator. 29,30 The fertilizer particles were affected by a variety of combined forces, gravity, the normal collision contact force between particles or between particles and mechanical components, the normal resistance, the tangential collision contact force, the tangential resistance and the internal particle adhesion force. In this study, the Hertz-Mindlin non-sliding contact model was chosen as the virtual experimental contact model.…”

Section: Methodsmentioning

confidence: 99%

Numerical analysis and performance optimization of a spiral fertilizer distributor in side deep fertilization of a paddy field

Tang

Jiang

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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To improve the quality of side deep fertilization in paddy fields and study the dynamic change in fertilizer particles in fertilizer boxes, a model connecting the mechanical components and fertilizer based on the discrete element method was established, and a numerical simulation analysis of the spiral fertilizer distributor was conducted with EDEM software. The primary factors affecting the uniformity and stability of the fertilizer were studied. Using an orthogonal experimental design and numerical simulation technology, the speed, lead and diameter of a steel wire were selected as experimental factors, the mean fertilization value and the fertilization coefficient of the variation were selected as evaluating indicators, a mathematical model between the factors and indicators was established by virtual orthogonal testing, and the numerical processing was optimized with Design-Expert 6.0.10 software. The results showed that the primary and secondary factors affecting the comprehensive performance occurred in the following sequence: steel wire speed > steel wire diameter > steel wire lead. When the speed, lead, and diameter of the steel wire were 15 r/min, 65 mm and 7 mm, respectively, the operation performance was superior. High-speed video camera analysis and bench tests showed that the results were consistent with the simulation optimization. The mean value and the coefficient of variation of fertilization were 9.39 g and 3.71%, respectively, which satisfy the agronomic requirements for paddy field side deep fertilization.

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“…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. The soil-seed simulation of seedling emergence and growth is valuable in providing guidance and recommendations for seedbed preparation and tillage applications [76,77]. Detailed discussion and review of applying DEM in SPMI studies are provided in the following sections according to their applicable field operations.…”

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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A discrete element model of seed-soil dynamics in soybean emergence

Cited by 14 publications

References 29 publications

Design and Research Sowing Devices for Aerial Sowing of Forest Seeds with UAVs

Design and Research Sowing Devices for Aerial Sowing of Forest Seeds with UAVs

Numerical analysis and performance optimization of a spiral fertilizer distributor in side deep fertilization of a paddy field

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

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