Discrete element modeling and parameter calibration of safflower biomechanical properties

Zhenguo Zhang, Chao Zeng, Zhenyu Xing, Peng Xu, Quanfeng Guo, Ruimeng Shi, Yunze Wang

Abstract


Understanding the biomechanical properties of safflowers is essential for appropriately designing harvestingmachinery and optimizing the harvesting process. Safflower is a flexible crop that lacks a basis for relevant simulationparameters, which causes difficulties in designing harvesting machinery. In this study, a calibration method for safflowers wasproposed. First, a discrete element model was established by measuring the intrinsic parameters of a safflower, such as itsgeometric parameters, density, Poisson’s ratio, and modulus of elasticity. Second, the contact and bonding parameters werecalibrated using a combination of physical and simulation tests. In the contact parameter tests, the Hertz-Mindlin (no-slip)model was implemented for the stacking angle tests conducted regarding the safflower filament. A regular two-level factorialdesign was used to determine the important factors and perform the steepest climb test. Moreover, the Box-Behnken design wasadopted to obtain the optimal contact parameters. In the bonding parameter tests, the Hertz-Mindlin model with bonding contactwas applied for the safflower shear simulation tests; moreover, the optimum bonding parameters were obtained through thecentral composite design test. The results demonstrated that the relative errors between the simulated and measured stackingangles and maximum shear were 3.19% and 5.29%, respectively. As a result, the safflower simulation parameters wereaccurately calibrated, providing a reference for appropriately setting the simulation parameters and designing key mechanicalcomponents.
Keywords: safflower, DEM, parameter calibration, shear test, biomechanical properties
DOI: 10.25165/j.ijabe.20241702.8857

Citation: Zhang Z G, Zeng C, Xing Z Y, Xu P, Guo Q F, Shi R M, et al. Discrete element modeling and parameter calibrationof safflower biomechanical properties. Int J Agric & Biol Eng, 2024; 17(2): 37–46.

Keywords


safflower, DEM, parameter calibration, shear test, biomechanical properties

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References


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