Numerical simulation and analysis of mechanized suppression process of seedbed with whole plastic film mulching on double ridges

Dai, Fei; Song, Xuefeng; Zhao, Wuyun; Sun, Bugong; Shi, Ruijie; Zhang, Yang

doi:10.25165/j.ijabe.20211401.5866

Cited by 7 publications

(11 citation statements)

References 12 publications

(13 reference statements)

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“…The mass fractions of the soil particles in different size ranges were as follows: 0.75% (0~0.025 mm), 2.91% (0.025~0.1 mm), 28.06% (0.1~0.5 mm), 18.81% (0.5~1 mm), 20.62% (1~2 mm), 20.34% (2~5 mm), and 8.50% (>5 mm). Based on previous studies [14,23], the Poisson ratio of the soil was assigned a value of 0.25~0.45, while the shear modulus of the soil was set at 1.15 × 10 7 Pa.…”

Section: Soil Particle Size Distribution Determinationmentioning

confidence: 99%

Calibration and Verification of Discrete Element Parameters of Surface Soil in Camellia Oleifera Forest

Ma,

You,

Yang

et al. 2024

Agronomy

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To analyze the interaction between the surface soil and the soil-contacting component (65 Mn) in the camellia oleifera forest planting area in Changsha City, Hunan, China, in this study, we conducted discrete element calibration using physical and simulation tests. The chosen contact model was Hertz–Mindlin with JKR cohesion, with the soil repose angle as the response variable. The repose angle of the soil was determined to be 36.03° based on the physical tests. The significant influencing factors of the repose angle determined based on the Plackett–Burman test were the soil–soil recovery coefficient, soil–soil rolling friction coefficient, soil-65 Mn static friction coefficient, and surface energy of soil for the JKR model. A regression model for the repose angle was developed using the Box–Behnken response surface optimization method to identify the best parameter combination. The optimal parameter combination for the JKR model was determined as follows: surface energy of soil: 0.400, soil–soil rolling friction coefficient: 0.040, soil-65 Mn static friction coefficient: 0.404, and soil–soil recovery coefficient: 0.522. The calibrated discrete element parameters were validated through experiments on the repose angle and steel rod insertion. The results indicated that the relative errors obtained from the two verification methods were 2.44% and 1.71%, respectively. This research offers fundamental insights for understanding the interaction between soil and soil-contacting components and optimizing their design.

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Section: Soil Particle Size Distribution Determinationmentioning

confidence: 99%

Calibration and Verification of Discrete Element Parameters of Surface Soil in Camellia Oleifera Forest

Ma,

You,

Yang

et al. 2024

Agronomy

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“…An electrothermostatic blast oven (DHG-9076A, measurement range of 50 to 300 °C) was adopted to measure the average soil moisture content. The simulation parameters including shear modulus and Poisson's ratios of soil and steel components were derived from relevant literature (Xing et al, 2020;Dai et al, 2019). The specific parameters are listed in Table 1.…”

Section: Test Materialsmentioning

confidence: 99%

“…Soil particles were set using the calibrated and optimized parameters, and the Hertz-Mindlin non-sliding contact model was applied between the soil and rotary tillage ridging parts. Based on relevant research results and combining with the simulation scale, the radius of soil particles was magnified to 10 mm, which can effectively save simulation resources and improve the simulation efficiency (Dai et al, 2019). The rotational speed of rotary blades, forward speed of the machine, tillage depth, and rotational speed of the ridge roller were the same as those in the field tests.…”

Section: Test Verification Of Rotary Tillage and Ridging Work (1)fiel...mentioning

confidence: 99%

“…The relative error between the simulation results and the actual measured values was 1.37% (Li et al, 2022). Meanwhile, some scholars calibrated DEM parameters of specific soil according to research demands, including ploughed soil in a cotton field (Song et al, 2021), no-till soil in a winter wheat-corn rotation system (Tian et al, 2021), grapevine anti-freezing soil (Ma et al, 2020), covering soil on whole plastic film with mulching on double ridges (Dai et al, 2019), and wet clayey paddy soil (Ding et al, 2017). However, there is no research into the calibration of soil discrete element parameters in the planting area of rhizome medicinal materials in hilly region.…”

Section: Introductionmentioning

confidence: 99%

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Calibration of Soil Discrete Element Contact Parameter in Rhizome Medicinal Materials Planting Area in Hilly Region

Chen

Liu

et al. 2022

INMATEH

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Aiming at the lack of accurate and reliable discrete element simulation parameters in the study of the soilmachine interaction mechanism and the design of machinery in the planting areas of rhizomes in hilly mountainous areas, EDEM software was used to calibrate the parameters. The soil angle of repose test was used to calibrate the contact parameters between soil particles, and the soil sliding test was used to calibrate the contact parameters between soil and machinery. The Box-Behnken optimization method was used to establish the multiple regression model of the angle of repose and the sliding angle, and the optimal contact parameters between soil particles were obtained by solving the model. The optimal combination of contact parameters was used to conduct tests on the angle of repose and soil sliding angle and the errors between the simulation and physical tests were 3.94% and 3.66%, respectively. In order to further verify the accuracy of the calibrated and optimized discrete element model parameters, the rotary tillage ridge field test and the simulation test were used for comparative analysis, and the relative errors of the simulated test results and the field test results for ridge height, ridge top width, and ditch bottom width were obtained, respectively. 4.45%, 6.96%, 8.56%, the error is within the acceptable range. The rotary tillage and ridging effects are consistent in simulation and field tests, confirming the accuracy and reliability of the calibration of soil parameters.

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“…In response to the prevalent "nine droughts in ten years" phenomenon in Northwest China's arid regions, the widespread adoption of the whole-film mulching and doubleridge furrow-sowing drought-resistant tillage technology is currently underway. This approach combines a unique ridge structure with film mulching furrow sowing, offering benefits such as water retention, soil moisture conservation, and temperature elevation [1,2]. This planting method has been widely adopted in the cultivation of crops such as corn and potatoes [3].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Optimization of a Pendulum-Lever-Type Hole-Seeding Device

Zhou,

Dai,

Shi

et al. 2024

Agriculture

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The process of hole seeding on the mulch during full-film double-row furrow corn planting faces issues such as poor seed discharge and seed blockage. To address these challenges, a pendulum-lever-type hole-forming mechanism is designed, along with an adjustment device. By analyzing the working principles of the pendulum-lever-type hole seeder and the adjustment device, the structural parameters of the device are determined. Through theoretical analysis and simulation experiments, three-dimensional models of seeds and hole seeders are constructed. Based on MBD-DEM cosimulation, the trajectory of seed movement and the seeding process of the hole seeder are analyzed to elucidate the effects of the hole-former opening and the number of pendulum bearings on seeding quality. To improve the operational performance of the hole seeder, experiments are conducted using the hole seeder’s rotating disc speed, lever angle of the hole-former, and the number of pendulum bearings as experimental factors, with the qualification index, miss-seeding index, and reseeding index as experimental indicators. A three-factor, three-level Box–Behnken central composite experiment is performed to obtain mathematical models of the relationships between the experimental factors and indicators. Using Design-Expert 12 software, the regression models are optimized for multiple objectives to obtain the optimal parameter combination: a seeder disc speed of 49 r/min (corresponding to a forward speed of 5.76 km/h), a lever angle of 131°, and four pendulum bearings. Under this optimal parameter combination, the qualification index is 91.70%, the miss-seeding index is 4.57%, and the reseeding index is 3.73%. Experimental validation of the seeding performance of the hole seeder under the optimal parameter combination is conducted. Bench tests show that the qualification index, miss-seeding index, and reseeding index are 90.53%, 5.60%, and 3.87%, respectively. Field tests demonstrate a qualification index of 89.13%, a miss-seeding index of 5.46%, and a reseeding index of 6.41%. The actual results are consistent with the optimized values, providing valuable insights for the design and performance optimization of hole seeders.

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Numerical simulation and analysis of mechanized suppression process of seedbed with whole plastic film mulching on double ridges

Cited by 7 publications

References 12 publications

Calibration and Verification of Discrete Element Parameters of Surface Soil in Camellia Oleifera Forest

Calibration and Verification of Discrete Element Parameters of Surface Soil in Camellia Oleifera Forest

Calibration of Soil Discrete Element Contact Parameter in Rhizome Medicinal Materials Planting Area in Hilly Region

Simulation and Optimization of a Pendulum-Lever-Type Hole-Seeding Device

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