An approach to and validation of maize-seed-assembly modelling based on the discrete element method

Chen, Zeren; Yu, Jihong; Xue, Duomei; Wang, Yan; Zhang, Qiang; Ren, Luquan

doi:10.1016/j.powtec.2017.12.007

Cited by 55 publications

(26 citation statements)

References 21 publications

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“…The shapes of corn kernels were horse-toothed, conical, and spherical [30]. Taking the horse-toothed kernel as an example, the characteristic dimensions comprise the upper width (W 1 ), bottom width (W 2 ), height (H h ), and thickness (T).…”

Section: Physical Properties Of Componentsmentioning

confidence: 99%

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Zhang

Chen

et al. 2021

Agriculture

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The threshing of frozen corn is accompanied by breakage and adherence, which influence the cleaning performance when the corn-cleaning mixture is separated and cleaned. In order to reduce the impurity ratio and loss ratio during frozen corn cleaning and provide theoretical support for frozen corn combine harvesting, this study employed a self-made air-screen cleaning system with adjustable parameters. The optimal process parameters of frozen corn cleaning were determined by using the response surface method (RSM). The influences of the fan speed (FS), vibrational frequency (VF), and screen opening (SO) on the cleaning performance were explored. The results showed that all three process parameters had significant effects on the impurity ratio (IR) and loss ratio (LR). The fan speed had the most significant impact. The cleaning performance was optimal when the fan speed was 102.7 rad/s, the vibration frequency was 6.42 Hz, and the screen opening was 21.9 mm, corresponding to a 0.80% impurity ratio and a 0.61% loss ratio. The predicted values of the regression models were consistent with the experimental results with a relative error of less than 5%. The reliability and accuracy of regression models were established and confirmed.

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Section: Physical Properties Of Componentsmentioning

confidence: 99%

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Zhang

Chen

et al. 2021

Agriculture

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“…According to Equation (14), the pressure gradient force on the seeds can be increased by increasing the air pressure of the air nozzle during seed pressing, and the effect of seed pressing can be improved. However, at the same time, the drag force on seeds is increased, which is not conducive to the effect of seed pressing.…”

Section: Mechanical Analysis Of the Seed-pressing Processmentioning

confidence: 99%

“…Hu et al [11,12] analyzed the influence of the cone hole parameters on seed-metering quality using the basic principles of fluid mechanics. Yu et al [13,14] used a uniform design method to carry out atmospheric pressure tests on soybean air-blowing metering devices.…”

Section: Introduction mentioning

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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“…The influence of particle shape and inter-particle friction on mechanical response of a granular assembly in a uniaxial compression was determined in laboratory experiment and in DEM simulations [4] . It is essential to build a more precise particle model of maize seed assemblies [5] . Particles with a higher aspect ratio decrease the bulk density but maintain nearly the same bulk stiffness [6] .…”

Section: Introduction mentioning

confidence: 99%

Determination of the coefficient of rolling friction of irregularly shaped maize particles by using discrete element method

Shi

Zhao

Sun

et al. 2020

International Journal of Agricultural and Biological Engineering

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The coefficient of rolling friction is a foundation parameter for conducting particles simulation, however, which of irregularly shaped maize seeds is difficult to measure. Furthermore, the coefficient of rolling friction between the simulation particles and the actual seeds is inconsistent due to the shaped difference of model and different position of gravity center. This paper use two methods to determinate the coefficient of rolling friction based on discrete element method (DEM) and physical experiments. Three types of maize models from five different shaped maize samples (including horse-tooth shape, spherical cone shape, spherical shape, oblate shape, irregular shape) were developed with the help of slice modeling and 3D modeling technology. Aluminum cylinder container is used to arrange the simulation experiments of angle of repose with taking the coefficient of rolling friction as independent variables and the simulation angle of repose as target values. After predicting detailed the coefficient of rolling friction (including horse-tooth shape, spherical cone shape, spherical shape, between horse-tooth shape and spherical cone shape, between horse-tooth shape and spherical shape, between spherical shape and spherical cone shape maize models), and forecasting a unified the coefficient of rolling friction among horse-tooth shape, spherical cone shape and spherical shape maize models, two types of materials (aluminum cylinder container and organic glass container) were used to validate the difference the angle of repose between the simulation maize models and actual maize seeds. Results show the relative error of the angle of repose between the maize models controlled by the coefficient of rolling friction through the detailed method and the actual maize seeds is 0.22%, 0.33% in aluminum cylinder, organic glass container, respectively. The relative error of the angle of repose between the simulation maize models controlled by the coefficient of rolling friction through the united method and actual maize seeds is 2.47%, 2.97% in aluminum cylinder, organic glass container, respectively. Although the difference of the angle of repose between two method is smaller, the detailed method is better. Moreover, From the accumulation process of the angle of repose we found that the difference on the contacts number between maize models and bottom plate, the change curve of the rotational kinetic energy, the potential energy of maize models controlled by the coefficient of rolling friction through the detailed and the united method are evidently. We can choose a better method to predict the coefficient of rolling friction of maize seeds according to the application situation and investigation objective of irregular maize seeds. The results can provide a theoretical basis for designing and optimizing the structure of the seed-metering machine with DEM.

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An approach to and validation of maize-seed-assembly modelling based on the discrete element method

Cited by 55 publications

References 21 publications

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method

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

Determination of the coefficient of rolling friction of irregularly shaped maize particles by using discrete element method

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