Compression‐Induced Fracture of Maize Kernels: Effects of Moisture Content and Strain Rate on Mechanical Behavior

ABSTRACT During production processes, maize kernels are prone to mechanical damage from stresses such as collision and compression, leading to reduced storage stability, increased mold contamination risks, diminished processing performance, and consequent economic losses. Investigating the mechanical properties and fracture mechanisms of maize kernels is critical for reducing breakage and losses while safeguarding food security. This study systematically analyzed the effects of moisture content (9.75%, 13.07%, 16.66%, 20.67%, 25.21%) and compression speed (0.5, 2, 5, 50 mm/min) on anisotropic mechanical behavior through triaxial compression tests using a universal testing machine, integrating displacement–load curves, Dynamic Increase Factor (DIF), and Crash Force Efficiency (CFE). Results indicate that elevated moisture content significantly reduces mechanical strength, while increased compression speed partially counteracts moisture‐induced softening via strain rate hardening effects. The minor axis exhibited the highest elastic modulus (891.78–1041.48 MPa) due to structural compactness, yet its DIF values (1.24–1.71) displayed pronounced sensitivity to moisture variations, reflecting greater operational condition dependency. The intermediate axis demonstrated superior energy absorption capacity, with CFE values (49.6%–64.2%) consistently exceeding those of the major axis (39.51%–53.79%). This research elucidates moisture‐rate interaction patterns governing triaxial mechanical responses in maize kernels, providing theoretical foundations for optimizing the design and operational parameters of corn processing equipment.

Authors

Institutions

Publication Details

Journal
Journal of Food Process Engineering
Published
2025-10-01
DOI
https://doi.org/10.1111/jfpe.70218
Primary Topic
Agricultural Engineering and Mechanization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Compression‐Induced Fracture of Maize Kernels: Effects of Moisture Content and Strain Rate on Mechanical Behavior

Shaofeng Ru, Dongquan Chen, Jie Wu, Ranbing Yang et al.
Journal of Food Process Engineering
Agricultural Engineering and Mechanization
article

Compression‐Induced Fracture of Maize Kernels: Effects of Moisture Content and Strain Rate on Mechanical Behavior

Shaofeng Ru, Dongquan Chen, Jie Wu, Ranbing Yang, Songmei Yang
article en

Abstract

ABSTRACT During production processes, maize kernels are prone to mechanical damage from stresses such as collision and compression, leading to reduced storage stability, increased mold contamination risks, diminished processing performance, and consequent economic losses. Investigating the mechanical properties and fracture mechanisms of maize kernels is critical for reducing breakage and losses while safeguarding food security. This study systematically analyzed the effects of moisture content (9.75%, 13.07%, 16.66%, 20.67%, 25.21%) and compression speed (0.5, 2, 5, 50 mm/min) on anisotropic mechanical behavior through triaxial compression tests using a universal testing machine, integrating displacement–load curves, Dynamic Increase Factor (DIF), and Crash Force Efficiency (CFE). Results indicate that elevated moisture content significantly reduces mechanical strength, while increased compression speed partially counteracts moisture‐induced softening via strain rate hardening effects. The minor axis exhibited the highest elastic modulus (891.78–1041.48 MPa) due to structural compactness, yet its DIF values (1.24–1.71) displayed pronounced sensitivity to moisture variations, reflecting greater operational condition dependency. The intermediate axis demonstrated superior energy absorption capacity, with CFE values (49.6%–64.2%) consistently exceeding those of the major axis (39.51%–53.79%). This research elucidates moisture‐rate interaction patterns governing triaxial mechanical responses in maize kernels, providing theoretical foundations for optimizing the design and operational parameters of corn processing equipment.

Journal of Food Process EngineeringVol. 48(10)
Hainan University (CN), Ministry of Agriculture (CA), Ministry of Agriculture and Rural Affairs (CN)
Openalex Percentile: Top 72%
Agricultural Engineering and Mechanization
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.