A Study on the Physical Properties of Banana Straw Based on the Discrete Element Method

Zhang, Sen; Jiang, Jie; Wang, Yuedong

doi:10.32604/fdmp.2022.024070

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…The discrete unit method is widely used in our industry [19][20][21][22][23], agriculture [24][25][26], and construction [27] as a reliable test method and tool [28]. In 1971, CUNDALL proposed a numerical simulation method to solve discontinuous media problems, the discrete element method (DEM), based on the theory of combining different instantons [29].…”

Section: Hertz-mindlin With Bonding V2 Contact Modelmentioning

confidence: 99%

Calibration and Modeling of Parameters for Kale Root Stubble Simulation Based on the Discrete Unit Method

Chen,

Jiang,

Liu

et al. 2023

Agronomy

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Today, the post-harvest root stubble treatment of kale in Hunan mostly uses manual pulling and centralized treatments, which are inefficient and labor-intensive. In this study, to realize the direct mechanical crushing of kale root stubble and return it to the field after harvesting, we established an accurate simulation model of kale root stubble by creating a model of the root stubble of kale and calibrating the parameters of the simulation. This study took Jingfeng No. 1 kale stubble as the research object and used EDEM2021.2 simulation software to study the parameters of the kale stubble-crushing simulation model. The peak shear force of the sheared kale root stubble was used as the test data, and the most significant factors affecting the shear force were screened out through the Plackett–Burman test for the Design-Expert design. In addition, the steepest climb test and Box–Behnken test were used to accurately assess the factor data to obtain the best simulation value, which was 861.02 N. The relative error between the simulated and measured values was 0.61%. Finally, an accurate simulation stubble model was established by combining the best simulation parameters with the measured stubble length and diameter. This model provides a theoretical basis and technical support for more in-depth research on stubble simulation and mechanized stubble return.

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Section: Hertz-mindlin With Bonding V2 Contact Modelmentioning

confidence: 99%

Calibration and Modeling of Parameters for Kale Root Stubble Simulation Based on the Discrete Unit Method

Chen,

Jiang,

Liu

et al. 2023

Agronomy

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Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm–Backpropagation

Zeng,

Diao,

Liu

et al. 2024

Sensors

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There is a significant difference between the simulation effect and the actual effect in the design process of maize straw-breaking equipment due to the lack of accurate simulation model parameters in the breaking and processing of maize straw. This article used a combination of physical experiments, virtual simulation, and machine learning to calibrate the simulation parameters of maize straw. A bimodal-distribution discrete element model of maize straw was established based on the intrinsic and contact parameters measured via physical experiments. The significance analysis of the simulation parameters was conducted via the Plackett–Burman experiment. The Poisson ratio, shear modulus, and normal stiffness of the maize straw significantly impacted the peak compression force of the maize straw and steel plate. The steepest-climb test was carried out for the significance parameter, and the relative error between the peak compression force in the simulation test and the peak compression force in the physical test was used as the evaluation index. It was found that the optimal range intervals for the Poisson ratio, shear modulus, and normal stiffness of the maize straw were 0.32–0.36, 1.24 × 108–1.72 × 108 Pa, and 5.9 × 106–6.7 × 106 N/m3, respectively. Using the experimental data of the central composite design as the dataset, a GA–BP neural network prediction model for the peak compression force of maize straw was established, analyzed, and evaluated. The GA–BP prediction model’s accuracy was verified via experiments. It was found that the ideal combination of parameters was a Poisson ratio of 0.357, a shear modulus of 1.511 × 108 Pa, and a normal stiffness of 6.285 × 106 N/m3 for the maize straw. The results provide a basis for analyzing the damage mechanism of maize straw during the grinding process.

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A Study on the Physical Properties of Banana Straw Based on the Discrete Element Method

Cited by 2 publications

References 13 publications

Calibration and Modeling of Parameters for Kale Root Stubble Simulation Based on the Discrete Unit Method

Calibration and Modeling of Parameters for Kale Root Stubble Simulation Based on the Discrete Unit Method

Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm–Backpropagation

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