PARAMETER CALIBRATION OF THE DISCRETE ELEMENT MODEL FOR THE AGRICULTURAL MACHINERY-LATERITIC SOIL-PANAX NOTOGINSENG INTERACTION DURING THE TRANSPLANTING PROCESS
三七移栽过程机具-红土-三七交互离散元模型参数标定
DOI : https://doi.org/10.35633/inmateh-79-62
Authors
Abstract
This study addresses the challenges of poor contact parameter matching and the lack of systematic calibration methods in discrete element simulations of agricultural machinery, lateritic soil, and crops. Focusing on three interfaces—Panax notoginseng seedlings–lateritic soil, lateritic soil–lateritic soil, and lateritic soil–65Mn steel—key contact parameters (JKR surface energy, restitution, static friction, rolling friction) were calibrated using EDEM. Physical tests (angle of repose, mixture collapse, inclined plane rolling) were combined with orthogonal experiments and response surface methodology to establish correlation models between simulations and physical tests. Through variance analysis and multi-objective optimization, optimal parameter combinations were determined: for lateritic soil–lateritic soil, JKR surface energy of 5.302 J/m² and rolling friction of 0.287; for lateritic soil–Panax notoginseng, JKR surface energy of 4.101 J/m², static friction of 0.482, and rolling friction of 0.124; and for lateritic soil–65Mn steel, JKR surface energy of 3.806 J/m², static friction of 0.42, and rolling friction of 0.09. Validation showed relative errors below 7.5% across all tests, with model accuracy improved by over 30% compared to pre-calibration. Field experiments further confirmed model stability and reliability. The findings support structural optimization and operational parameter matching for agricultural machinery and provide a reference for calibrating multiphase discrete element models in agricultural engineering.
Abstract in Chinese



