Simulation of the micro-dynamics in soil–cornstalk–disc interactions using the discrete element method

Understanding the interactions between soil, crop residue, and tillage tools is essential for improving tillage quality in conservation agriculture. This study developed a discrete element model to simulate soil–cornstalk–disc interactions, replicating the cutting of corn stalks by a concave disc in sandy loam soil. A soil bin experiment was conducted using a notched concave disc to cut corn stalks, measuring draft forces, vertical forces, and corn residue cutting effectiveness. Experimental data were used to calibrate and validate the model. After validation, the model was applied to analyse the micro-dynamic behaviours of corn stalks and soil under varying soil bulk densities and disc types. Three key parameters calibrated for the corn stalk model were 2.0 × 10⁹ N m⁻¹ for particle normal stiffness, 8.0 × 10⁶ Pa for bond tensile strength, and 0.5 for particle friction coefficient. The model effectively predicted corn stalk cutting effectiveness, draft force, and vertical force, with an overall relative error of 16.4%. Micro-dynamic analysis showed that as soil bulk density decreased (within a range of 1.06 to 1.52 Mg m⁻³), corn stalk sinkage and soil supporting force increased, while corn stalk intrusion force decreased. Compared to the notched disc, the plain disc exhibited greater corn stalk sinkage and soil supporting force but lower corn stalk intrusion force. This research provides a validated model for simulating soil–cornstalk–disc interactions, enhancing the understanding of disc performance in cutting crop residue.

Authors

Institutions

Publication Details

Journal
Smart Agricultural Technology
Published
2025-05-04
DOI
https://doi.org/10.1016/j.atech.2025.100984
Citations
5
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
4.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation of the micro-dynamics in soil–cornstalk–disc interactions using the discrete element method

Peng Wu, Xirui Zhang, Ying Chen
5 citations
Smart Agricultural Technology
Soil Mechanics and Vehicle Dynamics
4.77
article

Simulation of the micro-dynamics in soil–cornstalk–disc interactions using the discrete element method

Peng Wu, Xirui Zhang, Ying Chen
article en
5 citations

Abstract

Understanding the interactions between soil, crop residue, and tillage tools is essential for improving tillage quality in conservation agriculture. This study developed a discrete element model to simulate soil–cornstalk–disc interactions, replicating the cutting of corn stalks by a concave disc in sandy loam soil. A soil bin experiment was conducted using a notched concave disc to cut corn stalks, measuring draft forces, vertical forces, and corn residue cutting effectiveness. Experimental data were used to calibrate and validate the model. After validation, the model was applied to analyse the micro-dynamic behaviours of corn stalks and soil under varying soil bulk densities and disc types. Three key parameters calibrated for the corn stalk model were 2.0 × 10⁹ N m⁻¹ for particle normal stiffness, 8.0 × 10⁶ Pa for bond tensile strength, and 0.5 for particle friction coefficient. The model effectively predicted corn stalk cutting effectiveness, draft force, and vertical force, with an overall relative error of 16.4%. Micro-dynamic analysis showed that as soil bulk density decreased (within a range of 1.06 to 1.52 Mg m⁻³), corn stalk sinkage and soil supporting force increased, while corn stalk intrusion force decreased. Compared to the notched disc, the plain disc exhibited greater corn stalk sinkage and soil supporting force but lower corn stalk intrusion force. This research provides a validated model for simulating soil–cornstalk–disc interactions, enhancing the understanding of disc performance in cutting crop residue.

Smart Agricultural TechnologyVol. 11
Hainan University (CN), University of Manitoba (CA)
Life in Land
Openalex Percentile: Top 6%
Soil Mechanics and Vehicle Dynamics
4.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation of the micro-dynamics in soil–cornstalk–disc interactions using the discrete element method — Peng Wu, Xirui Zhang, et al. · Smart Agricultural Technology (2025) | TGRS Research Map | TGRS