Discrete element method simulation of corn root residue excavation for structural design and performance optimization

To address the issues of high resistance and low efficiency in corn root residue excavation in cold, arid regions, a serrated double-wing blade was designed based on root distribution and mechanical properties. A mechanical model of blade–soil–root interaction was established, and EDEM simulations were conducted to optimize serration geometry and blade parameters. Optimal serration dimensions were determined as 5 mm height and 8.77 mm spacing. Through an orthogonal experiment, the best structural parameters were found to be a 23.4° entry angle, 59.2° wing angle, and 244.06 mm blade width. A prototype was fabricated, and field tests were performed to evaluate forward resistance and root-lifting rate under different operational settings. The optimal working conditions were a 15.5° soil entry clearance angle, 130 mm excavation depth, and 5 km/h forward speed. Under these conditions, the average forward resistance was 2025.81 N, and the root-lifting rate reached 85.6%, meeting operational requirements and verifying simulation accuracy. The results provide theoretical and practical references for the design of efficient excavation tools for compost-based corn residue return in similar environments.

Authors

Institutions

Publication Details

Journal
Smart Agricultural Technology
Published
2025-07-20
DOI
https://doi.org/10.1016/j.atech.2025.101229
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

Discrete element method simulation of corn root residue excavation for structural design and performance optimization

Jianchao Zhang, Jingjing Xie, Zhihong Yu, Wenhang Liu et al.
5 citations
Smart Agricultural Technology
Soil Mechanics and Vehicle Dynamics
4.77
article

Discrete element method simulation of corn root residue excavation for structural design and performance optimization

Jianchao Zhang, Jingjing Xie, Zhihong Yu, Wenhang Liu, Dongxu Zhao, Xuejie Ma, Qiang Su
article en
5 citations

Abstract

To address the issues of high resistance and low efficiency in corn root residue excavation in cold, arid regions, a serrated double-wing blade was designed based on root distribution and mechanical properties. A mechanical model of blade–soil–root interaction was established, and EDEM simulations were conducted to optimize serration geometry and blade parameters. Optimal serration dimensions were determined as 5 mm height and 8.77 mm spacing. Through an orthogonal experiment, the best structural parameters were found to be a 23.4° entry angle, 59.2° wing angle, and 244.06 mm blade width. A prototype was fabricated, and field tests were performed to evaluate forward resistance and root-lifting rate under different operational settings. The optimal working conditions were a 15.5° soil entry clearance angle, 130 mm excavation depth, and 5 km/h forward speed. Under these conditions, the average forward resistance was 2025.81 N, and the root-lifting rate reached 85.6%, meeting operational requirements and verifying simulation accuracy. The results provide theoretical and practical references for the design of efficient excavation tools for compost-based corn residue return in similar environments.

Smart Agricultural TechnologyVol. 12
Inner Mongolia Agricultural University (CN)
Openalex Percentile: Top 5%
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.

Discrete element method simulation of corn root residue excavation for structural design and performance optimization — Jianchao Zhang, Jingjing Xie, et al. · Smart Agricultural Technology (2025) | TGRS Research Map | TGRS