Prediction of Soil-Bulldozer Blade Interaction Using Discrete Element Method

Franco, Yara Barbosa; Rubinstein, D.; Shmulevich, I.

doi:10.13031/2013.22625

Cited by 16 publications

(7 citation statements)

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“…Addressing these issues is imperative in advancing the field of soil-tool simulation using the DEM. Also, most existing studies focused on applications other than agriculture, for example bulldozing where soil was often cohessionless (Franco et al 2007;Obermayr et al 2011). Only few existing studies dealt with cohesive agricultural soil (e.g.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Draft Forces of a Sweep in a Loamy Sand Soil Using the Discrete Element Method

Mak¹

2014

Can. Biosyst. Eng.

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Section: Introductionmentioning

confidence: 99%

Simulation of Draft Forces of a Sweep in a Loamy Sand Soil Using the Discrete Element Method

Mak¹

2014

Can. Biosyst. Eng.

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“…The sieving method was used to measure the percentage of the grain size of ginseng soil samples, and the results showed that the percentage of soil with grain sizes of 0~2 mm, 2~4 mm, and greater than 4mm were 21.49%, 38%, and 45.51%, respectively, and that the soil texture belonged to sandy loam. In discrete element simulation, the multisphere method and particle size amplification method are regarded as simple, efficient, and cost-effective methods [19][20][21], so three-sphere and four-sphere particles are used to replace different shapes of soil particles to generate straight-line three-sphere particles, which accounted for 21.49% of the particles; triangular three-sphere particles accounted for 38%, and frontal body four-sphere particles accounted for 45.51%. The average moisture content of the soil layer from a 0 to 270 mm depth was measured as (23 ± 1%) by the oven drying method (KH-35AS drying box); the density of the soil was measured using the pycnometer method (volume 100 cm 3 ) to extract the soil and an electronic balance (range 500 g, accuracy 0.01 g); the test was repeated 6 times for the average value, and 1061.4 kg/m 3 was taken as the final parameter of the simulation.…”

Section: Selection Of Calibration Parametersmentioning

confidence: 99%

Parameter Calibration for Discrete Element Simulation of the Interaction between Loose Soil and Thrown Components after Ginseng Land Tillage

Du,

Wang,

Liu

et al. 2024

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Given the lack of accurate and reliable discrete element simulation parameters to study the interactions between soft soil and soil casting components after ginseng land cultivation in Northeast China and the design of ginseng land-specific borders, this paper calibrates the relevant model parameters of ginseng soil using the Hertz–Mindlin with JKR contact model in EDEM to standardize the contact parameters between soil particles and between soil and Q235 steel in soft soil after cultivation in ginseng land. Taking the soil particle accumulation angle as the response value, a Box–Behnken design (BBD) was introduced to establish a regression model for the soil accumulation angle; the surface energy, static friction coefficient, rolling friction coefficient, and coefficient of restoration parameters were obtained, respectively, through the optimization of the model, at which time, the simulated value of the soil accumulation angle was 37°, which is a 4% relative error to the actual measured accumulation angle of 35.5°. Taking the sliding friction angle of the soil on the Q235 steel plate as the response value, the regression model of the soil sliding friction angle was obtained based on the BBD. The static friction factor, rolling friction factor, and coefficient of restitution between the soil particles and the Q235 steel were obtained, respectively. Based on the combination of these parameters, the simulated value of the sliding friction angle was 32.2°, which is a 2% relative error to the measured accumulation angle of 31.5°. To verify the accuracy of the optimized simulation parameters, field and simulation tests of soil-throwing components were conducted. The results show that the maximum relative error between the measured value and the simulation value is 5.6% and 3.4%. The error is within an acceptable range, and the simulation test and field test soil-throwing effects are the same, which verifies the accuracy and reliability of the reference soil parameter calibration. The results of the study can be used for discrete element simulation analysis of the interaction between ginseng loam and touchdown components and their structural optimization.

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“…Fundamental material property tests can be used for calibrations. For example, Franco et al (2007) and Coetzee and Els (2009) used direct shear tests to calibrate model micro properties of soil through matching simulated friction angles with measured angles of the soil. Sadek et al (2011) also used direct shear tests in calibrating some micro properties of hemp fibre and core (ground), and those calibrated micro properties were used in the simulations of this study.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2021

Can. Biosyst. Eng.

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The discrete element method (DEM) was used to develop a model to simulate hemp processing using a hammer mill. The model was computed using a commercial software package -Particle Flow Code in Three Dimensions (PFC 3D ). In the model, a simulated hemp stem was defined using spherical particles connected with parallel bonds implemented in the PFC 3D . The breakage of the bonds mimics the hemp breaking phenomenon within the hammermill. A micro property, bond strength of the hemp stems, was calibrated using the literature data from compression tests of hemp stems. The calibrated bond strength was 2.2 x10 6 Pa. With the calibrated bond strength, the model was used to simulate the power and energy distributions within the hammermill. The simulations were performed for different hammer rotational speeds and feeding masses. The results showed that both the specific kinetic and strain energies increased with the increase of the feeding mass; however, the effects of the hammer rotational speed did not follow any particular trends.

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Prediction of Soil-Bulldozer Blade Interaction Using Discrete Element Method

Cited by 16 publications

References 0 publications

Simulation of Draft Forces of a Sweep in a Loamy Sand Soil Using the Discrete Element Method

Simulation of Draft Forces of a Sweep in a Loamy Sand Soil Using the Discrete Element Method

Parameter Calibration for Discrete Element Simulation of the Interaction between Loose Soil and Thrown Components after Ginseng Land Tillage

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