DEM-CFD coupling simulation and optimization of an inside-filling air-blowing maize precision seed-metering device

Han, Dong; Zhang, Dongxing; Jing, Huirong; Li, Yang; Cui, Tao; Ding, Youqiang; Wang, Zhendong; Wang, Yunxia; Zhang, Tianliang

doi:10.1016/j.compag.2018.05.006

Cited by 120 publications

(53 citation statements)

References 18 publications

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“…The overall system behaviour is determined as a result of individual material interactions [9; 10]. It has been successfully applied to the process simulation in agriculture [11][12][13][14] as well as DEM has been used in several analyses to study particle dispersion mechanisms in many agricultural machines as in seed feeding device [15][16][17][18]. Although there have been many studies of seed-metering devices, most previous studies have not addressed the seed motion in an oscillating seed metering device.…”

Section: Resultsmentioning

confidence: 99%

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Sharaby

Doroshenko

Butovchenko

2020

Engineering Technologies and Systems

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Introduction. Sesame crop is one of the most important export crops in many countries around the world, especially in Africa. To meet the agricultural requirement of precision planting, various types of precision seed planters have been developed. Numerous studies were carried out to study the optimisation of the parameters of the precision planting. One of these parameters, affecting the quality of the precision seeder, is the grain outflow from the seed metering device. Materials and Methods. In order to maintain good continuous performance of an oscillating seeder, it is important to monitor seed flow in real-time and adjust oscillation parameters automatically. Existing research methods, such as prototyping and monitoring the process using a high-speed camera, by reason of the random movement of particles, do not allow obtaining sufficient data to understand trajectories and velocities of particles and existing equations for particle motion when simulating the sowing process do not allow taking into account the interaction of particles that having various shapes, rolling and sliding friction coefficients, and the elastic modulus of particle materials and a working body. In this study, the outflow rate of sesame seeds in an oscillating seed metering device was modeled using the simulation method based on the discrete element method. The aim of this study is to create a simulation model of an oscillating-type sowing planter using the sowing sesame seeds as an example for evaluating the effectiveness of this model, and the possibility of further optimization and prediction of sowing seeds with this device. Results. The analysis of the results showed that during the simulation, the sowing rate of sesame seeds when leaving the oscillating seed metering holes has significant differences in number and direction. The results of the modeling process in this study showed that when opening a hole in the oscillating seeder, a number of sesame seeds from 0 to 4 were coming out of it. The resulting model allows monitoring the behavior of each particle of a sesame seed, analyzing its trajectory, speed, and forces acting on it at any one time, and varying the parameters to obtain the dependence of uneven seeding on the kinematic and geometric parameters of the device. Discussion and Conclusion. The obtained simulation results provide an effective method for predicting the consumption of sesame seeds from the oscillating seed meter, which serves as the basis for optimizing the kinematic and geometric parameters of the oscillating sowing device in order to increase its efficiency. This model is universal and can be adapted to sow other crops.

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Section: Resultsmentioning

confidence: 99%

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Sharaby

Doroshenko

Butovchenko

2020

Engineering Technologies and Systems

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“…In the seed box, the seed-filling process is completed mainly in the first, second and third holes. The filling force of the third hole is analyzed [28] as shown in Figure 13.…”

Section: Mechanics Analysis Of the Seed-filling Processmentioning

confidence: 99%

Design and experiment of a six-row air-blowing centralized precision seed-metering device for Panax notoginseng

Lai

Sun

et al. 2020

International Journal of Agricultural and Biological Engineering

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Panax notoginseng is grown mainly in Yunnan Province. Under the present high-density planting patterns for the plant, to solve the problems of a high rate of seed damage and the inability to use a traditional single air-blowing metering device, this paper designs a six-row air-blowing centralized precision seed-metering device for P. notoginseng to realize mechanized precision seeding of this species. This paper describes the working principle of the seed-metering device, and the main structural parameters are determined by combining theoretical calculations with simulation analysis. A mechanics model of the seed filling, cleaning and pressing processes of the seed-metering device was constructed. The seeds of P. notoginseng in Yunnan Province were selected as experimental subjects. An experimental study on the seed-metering performance of the seed-metering device was carried out using the quadratic rotation orthogonal combination test method. The outlet pressure of the air nozzle, forward velocity and cone angle of the hole were selected as test factors. Mathematical models of the grain spacing qualified index, miss index, multiple index and the coefficient of variation of the row displacement consistency were established to analyze the order of factors affecting indicators. Through parameter optimization, the optimum combination of parameters was determined as follows: the cone angle of the hole is 50°, the forward velocity is less than 0.73 m/s, and the outlet pressure of the air nozzle is 0.32-0.52 kPa. The qualified index of grain spacing is higher than 94%, the miss index is less than 3%, the multiple index is less than 5%, and the coefficient of variation of the row displacement consistency is less than 5%. The test results are essentially consistent with the optimization results. The metering device meets the requirements of precision seeding of P. notoginseng. This study provides a basis for the design of a six-row air-blowing centralized precision seed-metering device for P. notoginseng.

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“…where FT is the pneumatic thrust force, ρg is the gas density, dm is the equivalent diameter of the wheat, vg is the steady airflow velocity of the stable accelerating zone, vm is the velocity of wheat, and C is the coefficient of the drag force calculated according to Han et al [23]. where Re is the particle's Reynolds number.…”

Section: A Description Of Wheat Pneumatic Seeding Devicementioning

confidence: 99%

CFD Simulation and Optimization of a Pneumatic Wheat Seeding Device

Wang

et al. 2020

IEEE Access

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To improve the performance of pneumatic wheat seeding devices with the goal of achieving pneumatic wheat seeding in soil conditions with high moisture content and heavy clay texture in rice-wheat rotation areas, a simulation optimization study of a pneumatic wheat seeding device was carried out using computational fluid dynamics. In this model, airflow was described by ANSYS Fluent software as a continuous compressible gas phase. The effects of accelerating air pressure, throat distance and nozzle diameter on the steady airflow velocity, the steady airflow length and the inlet 2 negative pressure of airflow field were studied, and a response surface analysis was applied to optimize the pneumatic wheat seeding device. The optimal parameter combination was achieved, which was an acceleration pressure of 700 kPa, a throat distance of 20 mm, a nozzle diameter of 7.2 mm and an acceleration pressure of 700 kPa. Comparative verification results showed that the steady airflow velocity, the steady airflow length and inlet 2 negative pressure of the optimized pneumatic wheat seeding device were 718 m/s, 182 mm and 0.49 kPa by simulations, which were 37%, 3% and 17% greater than those of the original device, respectively. This finding illustrates that the CFD model could describe the characteristics of airflow field well in a pneumatic seeding device and that the regression model for parameter optimization was reliable. Numerical simulation of the airflow field based on CFD approach can provide a theoretical basis for improving the operating performance of a pneumatic seeding device.

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DEM-CFD coupling simulation and optimization of an inside-filling air-blowing maize precision seed-metering device

Cited by 120 publications

References 18 publications

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Design and experiment of a six-row air-blowing centralized precision seed-metering device for Panax notoginseng

CFD Simulation and Optimization of a Pneumatic Wheat Seeding Device

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