Performance analysis and parameter optimization of peanut digging shovel operation based on discrete element analysis

Digging is the primary process of peanut harvesting. The setting of the operating parameters of peanut digging shovel as a digging tool will greatly influence the resistance and blade wear during peanut digging operation. In this paper, the trapezoidal symmetrical digging shovel is taken as the research object. An interaction model of shovel-soil-root system is established by discrete element software. The working process of peanut digging shovel is simulated by Hertz-mindlin with JKR contact model and Archard Wear model. The test results are analyzed by Design-Expert. The influence of working parameters such as penetration angle, digging depth, working speed and sliding angle on the working resistance and wear of the digging shovel was explored, and the optimal working parameter combination of the peanut digging shovel was determined. When the digging depth is 10 cm, the digging resistance will reach a minimum value within a working speed of 0.86 m /s, a penetration angle of 24.95 degree and a sliding angle of 42.36 degree. At the same depth of 10 cm, the digging shovel wear will reach a minimum value within a working speed of 0.80 m / s, a penetration angle of 24 degree and a sliding angle of 44 degree. Finally, by comparing the variation trend of the working resistance results obtained by the simulation and actual test of the digging shovel at different depths of penetration, the effectiveness of the method for analyzing and optimizing the working parameters of the digging shovel is verified.

Authors

Institutions

Publication Details

Journal
Information Processing in Agriculture
Published
2025-09-01
DOI
https://doi.org/10.1016/j.inpa.2025.08.003
Citations
1
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.95

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance analysis and parameter optimization of peanut digging shovel operation based on discrete element analysis

Jianhui Liang, Dongliang Guo, Yidi Zhai, H. J. Yang
1 citations
Information Processing in Agriculture
Soil Mechanics and Vehicle Dynamics
0.95
article

Performance analysis and parameter optimization of peanut digging shovel operation based on discrete element analysis

Jianhui Liang, Dongliang Guo, Yidi Zhai, H. J. Yang
article en
1 citations

Abstract

Digging is the primary process of peanut harvesting. The setting of the operating parameters of peanut digging shovel as a digging tool will greatly influence the resistance and blade wear during peanut digging operation. In this paper, the trapezoidal symmetrical digging shovel is taken as the research object. An interaction model of shovel-soil-root system is established by discrete element software. The working process of peanut digging shovel is simulated by Hertz-mindlin with JKR contact model and Archard Wear model. The test results are analyzed by Design-Expert. The influence of working parameters such as penetration angle, digging depth, working speed and sliding angle on the working resistance and wear of the digging shovel was explored, and the optimal working parameter combination of the peanut digging shovel was determined. When the digging depth is 10 cm, the digging resistance will reach a minimum value within a working speed of 0.86 m /s, a penetration angle of 24.95 degree and a sliding angle of 42.36 degree. At the same depth of 10 cm, the digging shovel wear will reach a minimum value within a working speed of 0.80 m / s, a penetration angle of 24 degree and a sliding angle of 44 degree. Finally, by comparing the variation trend of the working resistance results obtained by the simulation and actual test of the digging shovel at different depths of penetration, the effectiveness of the method for analyzing and optimizing the working parameters of the digging shovel is verified.

Information Processing in AgricultureVol. 13(1)
Qingdao Agricultural University (CN)
Qingdao Agricultural University, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 22%
Soil Mechanics and Vehicle Dynamics
0.95
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.

Performance analysis and parameter optimization of peanut digging shovel operation based on discrete element analysis — Jianhui Liang, Dongliang Guo, et al. · Information Processing in Agriculture (2025) | TGRS Research Map | TGRS