农业机械学报2025，Vol.56Issue(5)：319-330,12.DOI:10.6041/j.issn.1000-1298.2025.05.030
联合收获油葵脱出物离散元模型构建与参数标定
Discrete Element Model Construction and Parameter Calibration of Combined Harvest Oil Sunflower Extract
摘要
Abstract
Aiming to address lack of accurate modeling in discrete element simulation analysis for cleaning devices in combined oil sunflower harvest,the combined-harvested oil sunflower extracts were taken as object.A discrete element method was used to categorize and calibrate contact parameters for various oil sunflower extract models.The randomly selected oil sunflower extracts were classified,its main components were identified,and the corresponding mass fractions were determined using digital calipers,a universal testing machine,and a custom test platform measure intrinsic and contact parameters of each oil sunflower extract.Plackett-Burman,the steepest ascent,and Box-Behnken tests were proceeded based on each extract's physical repose angle.Parameters with significant effects on extract repose angle were identified and their valid ranges were defined.An optimization module in Design-Expert software was employed and physical repose angle of each extract was treated as the objective value.The optimal parameter sets were determined as follows:oil sunflower seed shear modulus was 7.35 × 107 Pa,oil sunflower seed-steel restitution coefficient was 0.295,oil sunflower seed-oil sunflower seed static friction coefficient was 0.669,crushed oil sunflower head shear modulus was 1.94 × 107 Pa,crushed oil sunflower head-steel restitution coefficient was 0.467,crushed oil sunflower head-steel static friction coefficient was 0.436,oil sunflower stalk shear modulus was 7.39 × 107 Pa,oil sunflower stalk-steel static friction coefficient was 0.553,and oil sunflower stalk—oil sunflower stalk static friction coefficient was 0.775.Simulation stacking tests were conducted on oil sunflower seeds,crushed oil sunflower heads,stalks,and mixed extracts based on each optimal parameter set.Results showed that errors between simulated and physical repose angles were 0.66％,0.96％,0.64％and 1.15％,respectively.These findings can serve as a reference for discrete element simulation research of combined oil sunflower harvest.关键词
油葵/联合收获/脱出物/离散元/参数标定Key words
oil sunflower/combine harvest/extraction components/discrete element/parameter calibration分类
农业科技引用本文复制引用
郭辉,韩骏轩,吕增帅,董远德,郭烈红,周稳..联合收获油葵脱出物离散元模型构建与参数标定[J].农业机械学报,2025,56(5):319-330,12.基金项目
新疆维吾尔自治区重大科技专项(2022A02008-5)和新疆维吾尔自治区油料产业技术体系项目(XJARS-05-11) （2022A02008-5）
