Development of a Cutting–Extrusion Soil-Crushing Model for Peanut Harvesting and Optimization of Key Components

This study aims to address the major challenges encountered during peanut harvesting and digging in saline–alkali soils, including high digging resistance, poor soil fragmentation, and difficulty separating pods from the soil. A combined cutting–extrusion excavation device was optimized based on soil dynamics. A mechanical model for soil fragmentation via cutting and extrusion was constructed, alongside a mechanical model for separating soil–nut aggregates. Key factors influencing the device’s operational performance were identified, and parameter ranges were determined. Through theoretical analysis and discrete element simulation, the force distribution on the device during operation and the soil fragmentation mechanism were elucidated. Single-factor experiments determined the influence of each factor on evaluation metrics. Through orthogonal experimental analysis, the optimal parameter combination was determined as a blade angle of 21°, a rake angle of 50°, and a forward speed of 4 km/h. At this setting, the number of bonds broken was 172,652, and the working resistance was 14,673.5 N. Field test results indicate that the cutting–extrusion combined excavation device achieved 75.29% soil fragmentation and 16,965.4 N of working resistance. Compared to the original excavation device, soil fragmentation increased by 20.68% and working resistance decreased by 8.06%. The cutting–extrusion combined excavation device outperforms the original excavation device.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2026-03-31
DOI
https://doi.org/10.3390/agriculture16070777
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Cutting–Extrusion Soil-Crushing Model for Peanut Harvesting and Optimization of Key Components

Dongjie LI, Zengcun Chang, Haipeng Yan, Jiayou Zhang et al.
Agriculture
Soil Mechanics and Vehicle Dynamics
article

Development of a Cutting–Extrusion Soil-Crushing Model for Peanut Harvesting and Optimization of Key Components

Dongjie LI, Zengcun Chang, Haipeng Yan, Jiayou Zhang, Jialin Hou, Dongwei Wang, Yu Tian
article en

Abstract

This study aims to address the major challenges encountered during peanut harvesting and digging in saline–alkali soils, including high digging resistance, poor soil fragmentation, and difficulty separating pods from the soil. A combined cutting–extrusion excavation device was optimized based on soil dynamics. A mechanical model for soil fragmentation via cutting and extrusion was constructed, alongside a mechanical model for separating soil–nut aggregates. Key factors influencing the device’s operational performance were identified, and parameter ranges were determined. Through theoretical analysis and discrete element simulation, the force distribution on the device during operation and the soil fragmentation mechanism were elucidated. Single-factor experiments determined the influence of each factor on evaluation metrics. Through orthogonal experimental analysis, the optimal parameter combination was determined as a blade angle of 21°, a rake angle of 50°, and a forward speed of 4 km/h. At this setting, the number of bonds broken was 172,652, and the working resistance was 14,673.5 N. Field test results indicate that the cutting–extrusion combined excavation device achieved 75.29% soil fragmentation and 16,965.4 N of working resistance. Compared to the original excavation device, soil fragmentation increased by 20.68% and working resistance decreased by 8.06%. The cutting–extrusion combined excavation device outperforms the original excavation device.

AgricultureVol. 16(7)
Shandong Agricultural University (CN)
Openalex Percentile: Top 36%
Soil Mechanics and Vehicle Dynamics
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.