DEM simulations and experiments investigating of grain tank discharge of a rice combine harvester

Ma, Zheng; Traore, Souleymane Nfamoussa; Zhu, Yongle; Li, Yaoming; Xu, Lizhang; Lu, En; Li, Yufei

doi:10.1016/j.compag.2022.107060

Cited by 16 publications

(3 citation statements)

References 23 publications

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“…There is no standard method to measure the rolling friction coefficient at present. Through several simulation pre-tests and in combination with literature (Han et al, 2014;Ma et al, 2022), the range of particleparticle rolling friction coefficient is 0.001 to 0.15, and the range of particle-stainless steel rolling friction coefficient is 0.01 to 0.1.…”

Section: Fig 5 -Test Platform For Restitution Coefficient 1-graph Pap...mentioning

confidence: 99%

Calibration of White Rice Simulation Parameters Based on Discrete Element Method

XIE,

BAI,

YAN

et al. 2023

INMATEH

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Aiming at the lack of discrete element simulation models and parameters for rice polishing, grading, color sorting and other technologies and equipment, and the difficulty of guiding equipment design and optimization through simulation, this paper calibrates the simulation parameters of white rice based on angle of repose (AOR) test and simulation methods. Huanghuazhan and Dongnong 429 white rice were selected as research object. Numerical model of white rice was established by multi-sphere filling. According to physical test and references, the simulation parameter range of white rice particles was determined. Plackett-Burman test was used to screen parameters, and it was found that the particle-particle static friction coefficient and particle-particle rolling friction coefficient had significant effects on the AOR of white rice. The regression model between the AOR and the significance parameter was established according to the central composite design method. The simulation parameter combination that has significant influence on the physical AOR was determined through the optimization design, and verified by the simulation test. The simulation AOR was compared with the physical AOR, and the relative error of the two kinds of white rice was less than 3%. The results show that the calibration method proposed in this study can accurately simulate the physical AOR test, which can provide reference for discrete element simulation of white rice processing.

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Section: Fig 5 -Test Platform For Restitution Coefficient 1-graph Pap...mentioning

confidence: 99%

Calibration of White Rice Simulation Parameters Based on Discrete Element Method

XIE,

BAI,

YAN

et al. 2023

INMATEH

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show abstract

“…At present, the corresponding sowing, tillage, land preparation, and harvest equip-ment is quite mature in the market. Since 2020, the mechanization rate of crop cultivation and harvesting in China has reached 71%, of which the comprehensive mechanization rate of wheat, rice and corn harvesting has stabilized at 95%, 85% and 90% [30,31]. It is well-known that plant barriers during the middle to late growth period would significantly reduce the effective spraying radius of micro-spraying irrigation.…”

Section: Effect Of Border Widths On Irrigation Quality Grain Yield An...mentioning

confidence: 99%

Effect of Border Width and Micro-Sprinkling Hose Irrigation on Soil Moisture Distribution and Irrigation Quality for Wheat Crops

Wang

Qiu

et al. 2022

Applied Sciences

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Micro-sprinkling irrigation is a small-flow irrigation technology that uses the grouped outlets on the micro-sprinkling hoses to spray the pressure water evenly in the field. Plants' barriers during the middle to late growth period of winter wheat significantly reduce the irrigation quality of the micro-spray system. It is still unclear whether soil border width in wheat fields can alleviate the negative effect. In this study, a popularly-used variety (c.v. ZM 369) was adopted to test the mitigation effect of soil borders on irrigation quality, as well as soil moisture distribution, in wheat fields. Two irrigation quotas (i.e., 75 mm and 45 mm per time) and three border widths (i.e., 2.3 m, 3.3 m, and 5.3 m) were arranged in a randomized block design in the experimental years of 2020–2022. Soil moisture distribution and irrigation quality during the middle to late growth period of winter wheat (i.e., jointing to heading stage and grain filling stage) were investigated, as well as the effects on grain yield and water use efficiency (WUE). The results showed that irrigation water distribution in the direction perpendicular to micro-spray tapes generally decreased with the distance from tapes increasing. The maximum difference between the irrigation amount and water collected under the canopy was 134 mm. The uniformity coefficient of soil moisture distribution was increased by 25.8% with a 5.3 m border width compared to a 2.3 m width. Although an irrigation quota of 75 mm was beneficial for ensuring better irrigation uniformity and more stable grain yield, grain yield and WUE were produced with an irrigation quota of 45 mm. In conclusion, it is appropriate to increase border width and adopt a small quota for the micro-spray system in the North China Plain for wheat crops.

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“…Since 2020, the mechanization rate of crop cultivation and harvesting in China has reached 71%, of which the comprehensive mechanization rate of wheat, rice, and corn harvesting has stabilized at 95%, 85%, and 90% [1,2]. As one of the most commonly used crop cultivation and harvesting machinery, grain combine harvester has the characteristics of complex mechanical structure, complex workflow, and so on [3,4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Harvesting Speed and Forward Speed of Harvester Based on Adaptive Control System

Wang

Yang

et al. 2022

Journal of Sensors

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The working efficiency of the combine harvester is still very low. It is an important way to realize mechanization to optimize the cutting speed of the harvester and the forward speed of the cutter without increasing economic input. In view of this, the present study briefly summarized the current structure of combine harvester systems. A new type of adaptive control system of combine harvesters was designed from the angle of cutting speed and forward speed of cutter. The sugarcane test base was taken as the test field, and the best matching speed was obtained with the goal of high efficiency of combine harvester and minimum sugarcane damage rate. In the test of cutting speed and forward speed of combine harvester, the optimal cutting speed under different forward speed conditions was recorded. The test results showed that the designed adaptive control system of the combine harvester could control the cutting speed and forward speed of the cutter well. The cutting speed and forward speed adaptive control system can realize the response to the input parameters and meet the design requirements of the harvester. This study can improve the economic benefits of the combine harvester and the quality of the harvested crops.

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DEM simulations and experiments investigating of grain tank discharge of a rice combine harvester

Cited by 16 publications

References 23 publications

Calibration of White Rice Simulation Parameters Based on Discrete Element Method

Calibration of White Rice Simulation Parameters Based on Discrete Element Method

Effect of Border Width and Micro-Sprinkling Hose Irrigation on Soil Moisture Distribution and Irrigation Quality for Wheat Crops

Optimal Design of Harvesting Speed and Forward Speed of Harvester Based on Adaptive Control System

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