Research on establishment of bonded particle model for pellet feed and its application

This study develops and validates a bonded particle model to investigate impact-induced breakage of piglet pellet feed using the discrete element method. To address the lack of reliable DEM parameters for pellet attrition, bonding properties were calibrated through uniaxial compression experiments combined with numerical simulations and response surface optimization. The calibrated parameters include a normal stiffness per unit area of 2.00e10 N/m3, a tangential stiffness per unit area of 7.41e9 N/m3, and bond strengths of 500 MPa. The validated model was applied to simulate pellet motion and fragmentation in a centrifugal impact device. The breakage rate increased monotonically with impeller speed from 500 to 1500 rpm, reaching 21.43% at the highest speed, in good agreement with experimental results. A strong linear correlation (R2 = 0.9970) between simulated bond breakage fraction and experimentally measured mass-based breakage rate confirms that bond failure percentage provides a physically meaningful descriptor of macroscopic fragmentation. In addition, breakage exhibited a non-linear dependence on impact angle, with a maximum value of 6.86% at 75° due to the combined axial and radial loading effects. The proposed framework can provide theoretical guidance for improving pellet durability and optimizing processing conditions.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-12
DOI
https://doi.org/10.1038/s41598-026-43893-y
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on establishment of bonded particle model for pellet feed and its application

Xianrui Kong, Bing Leng, Huimei Liu, Zhaoxia Liu et al.
Scientific Reports
Granular flow and fluidized beds
article

Research on establishment of bonded particle model for pellet feed and its application

Xianrui Kong, Bing Leng, Huimei Liu, Zhaoxia Liu, Jian Zhou, Weixia Wang
article en

Abstract

This study develops and validates a bonded particle model to investigate impact-induced breakage of piglet pellet feed using the discrete element method. To address the lack of reliable DEM parameters for pellet attrition, bonding properties were calibrated through uniaxial compression experiments combined with numerical simulations and response surface optimization. The calibrated parameters include a normal stiffness per unit area of 2.00e10 N/m3, a tangential stiffness per unit area of 7.41e9 N/m3, and bond strengths of 500 MPa. The validated model was applied to simulate pellet motion and fragmentation in a centrifugal impact device. The breakage rate increased monotonically with impeller speed from 500 to 1500 rpm, reaching 21.43% at the highest speed, in good agreement with experimental results. A strong linear correlation (R2 = 0.9970) between simulated bond breakage fraction and experimentally measured mass-based breakage rate confirms that bond failure percentage provides a physically meaningful descriptor of macroscopic fragmentation. In addition, breakage exhibited a non-linear dependence on impact angle, with a maximum value of 6.86% at 75° due to the combined axial and radial loading effects. The proposed framework can provide theoretical guidance for improving pellet durability and optimizing processing conditions.

Scientific Reports
Huazhong Agricultural University (CN), Wuhan Donghu University (CN), Chinese Academy of Agricultural Mechanization Sciences (CN)
Openalex Percentile: Top 21%
Granular flow and fluidized beds
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.