Simulation of Mechanical Fractionation of Chopped Whole-Plant Corn (WPC) Using Discrete Element Method (DEM)

IF 1.2 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
Yumeng Zhao, Mehari Z. Tekeste, Matthew W. Schramm, Matthew Francis Digman
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Abstract

Highlights Mechanical separation whole-plant corn (WPC) was simulated with DEM flexible fibers model. Mass percent WPC was sensitive to DEM particle shape distribution. DEM predicted mass fraction within 10% error compared with ASABE sieving test data. Abstract. Fractionating whole-plant corn (WPC) in a single-pass harvesting system requires studies on the WPC-to-equipment interaction for improved property control, as well as mechanical and air-driven separation processes compared to the traditional multi-pass grain and stover harvesting system. The discrete element method (DEM) technique has the potential to simulate WPC mechanical fractionation and support simulation-based design of WPC separation processes. In this study, methods to develop DEM particle models of WPC (kernel, cob, stalk, and husk) and their material properties for simulating mass fractionation using the ASABE standard mechanical shaker were proposed. Measurement was done on the axial dimensions (major, intermediate, and minor) and mass of each WPC type (mean sample size is 56), sampled from single-pass harvesting. Applying gaussian multivariate regression and bootstrapping re-sampling techniques, a DEM particle approximate to each WPC was developed. Sensitivity analysis of the DEM Young’s modulus, Poisson’s ratio, and interaction parameters of coefficient of restitution, coefficient of rolling friction, and coefficient of static friction on mass fraction was performed after 156 ASABE sieve-shaking DEM simulation runs, generated using Latin Hypercube Design (LHD) design of experiment (DOE) from 19 DEM material parameters. DEM simulation using Hertz-Mindlin with flexible bond contact laws and DOE optimized material properties successfully reproduced the mass fractions retained in ASABE sieves at 9.8% mean relative error and a coefficient of determination of R2 = 0.87. The DEM methodology developed for mechanical WPC mass fractionation could be deployed to perform virtual design of feedstock handling equipment and performance analysis of mechanical fraction systems. Keywords: Chopped whole-plant corn (WPC), Corn cob, Corn husk, Corn kernel, Corn stalk, Discrete element method (DEM), Flexible-bonded particle.
基于离散元法(DEM)的全株玉米切碎机械分馏模拟
利用DEM柔性纤维模型对玉米全株机械分离过程进行了数值模拟。质量百分比WPC对DEM颗粒形状分布较为敏感。与ASABE筛分试验数据相比,DEM预测质量分数误差在10%以内。摘要在单道收获系统中分选整株玉米(WPC)需要研究WPC与设备的相互作用,以改进性能控制,以及与传统的多道谷物和秸秆收获系统相比,机械和空气驱动的分离过程。离散元法(DEM)技术具有模拟复合材料机械分馏和支持基于仿真的复合材料分离过程设计的潜力。在这项研究中,提出了利用ASABE标准机械振动筛模拟质量分馏过程的木果(核、芯、茎和壳)及其材料特性的DEM颗粒模型的方法。测量每一种WPC类型的轴向尺寸(主要、中等和次要)和质量(平均样本量为56),从单次收获中取样。应用高斯多元回归和自举重采样技术,建立了一个近似于每个WPC的DEM粒子。利用拉丁超立方体设计(LHD)实验设计(DOE)从19个DEM材料参数生成156次ASABE摇筛DEM模拟,对DEM的杨氏模量、泊松比以及恢复系数、滚动摩擦系数和静摩擦系数相互作用参数对质量分数的敏感性进行了分析。采用具有柔性键接触定律的Hertz-Mindlin模型和DOE优化的材料特性进行DEM模拟,成功再现了ASABE筛中保留的质量分数,平均相对误差为9.8%,决定系数R2 = 0.87。为机械木塑质量分馏而开发的DEM方法可用于物料处理设备的虚拟设计和机械分馏系统的性能分析。关键词:全株碎玉米,玉米芯,玉米皮,玉米仁,玉米秸秆,离散元法,柔性键合颗粒
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