Inicio  /  Agronomy  /  Vol: 13 Par: 8 (2023)  /  Artículo
ARTÍCULO
TITULO

Validation and Calibration of Maize Seed?Soil Inter-Parameters Based on the Discrete Element Method

Long Zhou    
Qiu Dong    
Jianqun Yu    
Yang Wang    
Yulong Chen    
Mingwei Li    
Wenjun Wang    
Yajun Yu and Jun Yuan    

Resumen

An appropriate contact mechanics model and parameters are key to achieving accurate results in discrete element analyzis. This is necessary to predict the process of contact collision between the soil and maize seed during deposition. In this paper, the contact process between maize seed and soil is analyzed using the maize seed variety (Liangyu 99) and maize-sowing field soil (with three different moisture contents) as research objects. Based on this, the contact process between maize seeds and soil has been analyzed, on the basis of which a mechanical model suitable for simulating the contact process between maize seeds and soil has been explored, and the selection of parameters between heterogeneous particles (maize seed and soil particles) has been investigated. The results showed that adhesion forces have a significant effect on the collision process between seed and soil particles. While the presence of tangential adhesion force can be replaced by increasing the static and rolling friction coefficients, the normal adhesion force cannot be compensated in this way. The Edinburgh Elasto-Plastic Adhesive (EEPA) model is selected in this paper to describe the contact between seed and soil particles. The significance of the input parameters in the EEPA model is investigated using the Plackett?Burman test. The parameters between soil and seed particles are optimized using the central composite design, and the optimal parameter combinations are obtained. The relative error between the simulation and test result of the slope test for the three soil moisture contents is within 5.4%, validating the accuracy of the calibrated parameters.

 Artículos similares

       
 
Ting Lu, Ce Zheng, Bao Zhou, Jing Wu, Xueke Wang, Yuan Zhao, Xiuhua Liu and Wenqian Yuan    
In arid and semi-arid regions, rainfall takes on a critical significance to both agricultural and engineering construction activities, and the transport process and driving mechanism of soil water under rainfall conditions are in need of further investig... ver más
Revista: Agronomy

 
Xianguan Chen, Huiqing Bai, Qingyu Xue, Jin Zhao, Chuang Zhao and Liping Feng    
This project aims to improve the wheat growth and development simulation model (WheatSM) V4.0, a renowned wheat model, by addressing limitations in its structure and modules. The WheatSM V4.0 excelled numerically but lacked modularity, hindering maintena... ver más
Revista: Agronomy

 
Junwei Ma, Lijuan Wang and Pengfei Chen    
Gaussian process regression (GPR) can effectively solve the problem of high-dimensional modeling with a small sample size. However, there is a lack of studies comparing GPR with other methods for leaf area index (LAI) inversion using hyperspectral data. ... ver más
Revista: Agriculture

 
Tammam Suliman,Uta Berger,Marieke van der Maaten-Theunissen,Ernst van der Maaten,Wael Ali     Pág. eSC03
Aim of the study: At current, forest management in the Eastern Mediterranean region is largely based on experience rather than on management plans. To support the development of such plans, this study develops and compares site index equations for pure e... ver más
Revista: Forest Systems

 
Iris Lobos,Cristian Javier Moscoso,Paula Pavez     Pág. 234 - 242
High levels of animal performance and health depend on high-quality nutrition. Determining forage quality both reliably and quickly is essential for improving animal production. The present study describes the use of near infrared reflectance s... ver más