Ye B L, Jin M, Yu X F, Tang T, Fu Y, Yu G H. Discrete element modeling and parameter calibration of vegetable plug seedling root-substrate composites. Int J Agric & Biol Eng, 2026; 19(3): 61–69. DOI: 10.25165/j.ijabe.20261903.10320
Citation: Ye B L, Jin M, Yu X F, Tang T, Fu Y, Yu G H. Discrete element modeling and parameter calibration of vegetable plug seedling root-substrate composites. Int J Agric & Biol Eng, 2026; 19(3): 61–69. DOI: 10.25165/j.ijabe.20261903.10320

Discrete element modeling and parameter calibration of vegetable plug seedling root-substrate composites

  • Vegetable plug seedlings form root-substrate composites characterized by granular discreteness and cohesive bonding, which makes the direct measurement of contact parameters difficult and limits accurate simulation of transplanting processes. This study calibrated the key contact parameters and developed a discrete element method (DEM) model for broccoli plug seedling root-substrate composites by integrating physical experiments with EDEM simulations. Root shear tests, substrate angle of repose, sliding friction, and direct shear tests were performed to determine intrinsic mechanical properties. Using Plackett-Burman screening, steepest ascent, and Box-Behnken designs, the optimal combination of root static friction coefficient, critical stress, and bonding radius was obtained, with a relative error of only 0.70% between simulated and measured shear forces. For the substrate, the calibrated contact parameters of substrate-substrate and substrate-steel interactions yielded relative errors of 2.46% and 2.30%, respectively, while the simulated internal friction angle differed by only 2.64% from experimental values. The final composite model, validated through compression tests, showed a yield limit error of 4.22% and closely matched the deformation behavior observed in experiments. These results demonstrate that the proposed DEM model accurately captures the coupled mechanical behavior of flexible roots and cohesive substrates, providing a reliable tool for visual force analysis during transplanting and supporting the design optimization of seedling-picking and soil-seedling interaction mechanisms.
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