Optimizing the Design of Soil-Mixing Blade Structure Parameters Based on the Discrete Element Method

A multi-parameter optimization-based design method for soil-mixing blades was proposed to address the issue of excessive straw residue in the seeding layer after maize straw incorporation. A discrete element model simulating the interaction between the soil-mixing blades, soil, and corn straw was established. The key structural parameters included the bending line angle (α), bending angle (β), side angle (δ), tangential edge height (h), and bending radius (r); the straw burial rate (Y1) and straw percentage in the seeding layer (Y2) were selected as evaluation indicators. Single-factor experiments determined the significance level (p < 0.05) and the parameter range. A Box–Behnken response surface design, combined with analysis of variance (ANOVA), was employed to elucidate the influence patterns of the structural parameters and their interactions regarding straw burial performance. Multi-objective optimization yielded an optimal parameter combination: α = 55°, β = 100.01°, δ = 130°, h = 40.05 mm, and r = 28.67 mm. The simulation results demonstrated that this configuration achieved a Y1 of 96.04% and reduced Y2 to 35.25%. Field validation tests recorded Y1 and Y2 values of 96.54% and 34.13%, respectively. This study quantitatively elucidated the relationship between soil-mixing blade parameters and straw spatial distribution, providing a theoretical foundation for optimizing straw incorporation equipment.

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Publication Details

Journal
Agriculture
Published
2025-07-21
DOI
https://doi.org/10.3390/agriculture15141558
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing the Design of Soil-Mixing Blade Structure Parameters Based on the Discrete Element Method

Mengyang Wang, Qiaofeng Wang, Han Lin, Xin Jin et al.
3 links
Agriculture
Soil Mechanics and Vehicle Dynamics
article

Optimizing the Design of Soil-Mixing Blade Structure Parameters Based on the Discrete Element Method

Mengyang Wang, Qiaofeng Wang, Han Lin, Xin Jin, Huiling Ding, Chao Zhang, He Hong, Fengkui Dang
article en

Abstract

A multi-parameter optimization-based design method for soil-mixing blades was proposed to address the issue of excessive straw residue in the seeding layer after maize straw incorporation. A discrete element model simulating the interaction between the soil-mixing blades, soil, and corn straw was established. The key structural parameters included the bending line angle (α), bending angle (β), side angle (δ), tangential edge height (h), and bending radius (r); the straw burial rate (Y1) and straw percentage in the seeding layer (Y2) were selected as evaluation indicators. Single-factor experiments determined the significance level (p < 0.05) and the parameter range. A Box–Behnken response surface design, combined with analysis of variance (ANOVA), was employed to elucidate the influence patterns of the structural parameters and their interactions regarding straw burial performance. Multi-objective optimization yielded an optimal parameter combination: α = 55°, β = 100.01°, δ = 130°, h = 40.05 mm, and r = 28.67 mm. The simulation results demonstrated that this configuration achieved a Y1 of 96.04% and reduced Y2 to 35.25%. Field validation tests recorded Y1 and Y2 values of 96.54% and 34.13%, respectively. This study quantitatively elucidated the relationship between soil-mixing blade parameters and straw spatial distribution, providing a theoretical foundation for optimizing straw incorporation equipment.

AgricultureVol. 15(14)
Henan University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 81%
Soil Mechanics and Vehicle Dynamics
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Optimizing the Design of Soil-Mixing Blade Structure Parameters Based on the Discrete Element Method — Mengyang Wang, Qiaofeng Wang, et al. · Agriculture (2025) | TGRS Research Map | TGRS