Calibration method and experimental verification of corn discrete element parameters

Abstract The calibration of discrete element contact parameters for corn is an important foundation for studying the interaction mechanism between grain silo robots and corn grain surfaces. The corn betwixt contact parameters were calibrated using the Box–Behnken experiment, with the corn betwixt repose angle as the response variable. Preliminary calibration of the contact parameters of corn–polylactic acid (PLA) was conducted through free-fall tests, as well as inclined sliding and rolling test. Using the principle of equivalence, experiments on the corn–PLA angle of repose were performed using the lifting and lateral collapse methods, leading to the establishment of a mathematical regression model to optimise the combination of corn–PLA contact parameters. The results indicated that the combination error of the corn betwixt contact parameters is 1.70%; the restitution coefficient of corn–PLA is 0.528, the static friction coefficient is 0.418, the rolling friction coefficient is 0.0383 and the verification error of the angle of repose is 2.58%, which is 3.83% lower than that before optimisation. Finally, the accuracy of the discrete element method model was experimentally confirmed using the driving velocity, displacement, body pitch angle and sinkage of the grain silo robot as indicators.

Authors

Institutions

Publication Details

Journal
Measurement Science and Technology
Published
2025-04-17
DOI
https://doi.org/10.1088/1361-6501/adcad8
Citations
5
Primary Topic
Mechanical and Thermal Properties Analysis
Type
article
Field-Weighted Citation Impact
3.57

Funders

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

Calibration method and experimental verification of corn discrete element parameters

Yuanwei Jin, Hanzhong Zhang, Biao Zhang, Jin Zhang et al.
5 citations
Measurement Science and Technology
Mechanical and Thermal Properties Analysis
3.57
article

Calibration method and experimental verification of corn discrete element parameters

Yuanwei Jin, Hanzhong Zhang, Biao Zhang, Jin Zhang, Wenjun Meng, Weiqiang Liang
article en
5 citations

Abstract

Abstract The calibration of discrete element contact parameters for corn is an important foundation for studying the interaction mechanism between grain silo robots and corn grain surfaces. The corn betwixt contact parameters were calibrated using the Box–Behnken experiment, with the corn betwixt repose angle as the response variable. Preliminary calibration of the contact parameters of corn–polylactic acid (PLA) was conducted through free-fall tests, as well as inclined sliding and rolling test. Using the principle of equivalence, experiments on the corn–PLA angle of repose were performed using the lifting and lateral collapse methods, leading to the establishment of a mathematical regression model to optimise the combination of corn–PLA contact parameters. The results indicated that the combination error of the corn betwixt contact parameters is 1.70%; the restitution coefficient of corn–PLA is 0.528, the static friction coefficient is 0.418, the rolling friction coefficient is 0.0383 and the verification error of the angle of repose is 2.58%, which is 3.83% lower than that before optimisation. Finally, the accuracy of the discrete element method model was experimentally confirmed using the driving velocity, displacement, body pitch angle and sinkage of the grain silo robot as indicators.

Measurement Science and TechnologyVol. 36(5)
Jinzhong University (CN), Zhejiang Institute of Communications (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Mechanical and Thermal Properties Analysis
3.57
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.