2022
DOI: 10.1016/j.compag.2022.107405
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Development of DEM-MBD coupling model for draft force prediction of agricultural tractor with plowing depth

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Cited by 31 publications
(9 citation statements)
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“…Macroscopically, the shovel and soil model were used as research objects to compare the horizontal plowing resistance and soil force; microscopically, the horizontal and vertical soil particle layers were intercepted, and the arching angle and a velocity trajectory cloud map of the particle layer were investigated. Yeon-Soo Kim developed a comprehensive geotechnical soil-mechanical coupled model based on coupling of the discrete element method (DEM) and multi-body dynamics (MBD) to predict traction forces during plowing,by considering the target tillage depth, which reflects the distribution of soil properties with the change in soil depth, the DEM soil foundation bed was simulated [13]. Regarding soil disturbance, Aili Hasimu and Zhao et al [14][15][16] studied the soil disturbance mainly in terms of the entry earth resistance of the hole-forming device and the transport speed and trajectory of the soil particles.…”
Section: Prefacementioning
confidence: 99%
“…Macroscopically, the shovel and soil model were used as research objects to compare the horizontal plowing resistance and soil force; microscopically, the horizontal and vertical soil particle layers were intercepted, and the arching angle and a velocity trajectory cloud map of the particle layer were investigated. Yeon-Soo Kim developed a comprehensive geotechnical soil-mechanical coupled model based on coupling of the discrete element method (DEM) and multi-body dynamics (MBD) to predict traction forces during plowing,by considering the target tillage depth, which reflects the distribution of soil properties with the change in soil depth, the DEM soil foundation bed was simulated [13]. Regarding soil disturbance, Aili Hasimu and Zhao et al [14][15][16] studied the soil disturbance mainly in terms of the entry earth resistance of the hole-forming device and the transport speed and trajectory of the soil particles.…”
Section: Prefacementioning
confidence: 99%
“…Simulating the motion of complex seed-metering device components using EDEM software alone can be challenging, while employing a combined simulation approach using the discrete element method (DEM) and multi-body dynamics (MBD) allows for modeling the effects of complex seed-metering device component motion on particles [18][19][20]. This coupled simulation method has been applied in various agricultural engineering projects; for example: Kim et al [21] developed a full-scale soil-tool-machine coupled model based on DEM and MBD coupling to predict the traction force during tillage according to the tillage depth; Liu et al [22] developed a mathematical model and performed DEM and MBD coupled simulation to investigate the effects of feeding volume and threshing clearance on the load force of the piston rod of the hydraulic cylinder; Zhang et al [23] used MBD-DEM two-way coupling to analyze the harvesting process. Therefore, the coupled simulation method has been proven to be able to fully explain the interactions between the design components and the particles along with the particle motion.…”
Section: Introductionmentioning
confidence: 99%
“…Quantification of all forces and moments between tractor and implement when coupled through a three-point linkage is of interest for various purposes, including optimization of implement design, evaluation of tractor settings, or precision farming applications. In [1][2][3], a full-scale soil-implement-machine coupling model based on a combination of DEM (discrete element method) and MBD (multi-body dynamics) was established to predict the traction force as a function of the depth of the tillage during tillage. First, a plowing test was conducted with a field load measurement system to develop a DEM-MBD coupling model to predict traction force according to the depth of the tillage during the calibration and validation of the DEM-MBD coupling model.…”
Section: Introductionmentioning
confidence: 99%