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

Huiling Ding, Qiaofeng Wang, Mengyang Wang, Chao Zhang, Han Lin, Xin Jin (), Haizhou Hong and Fengkui Dang
Additional contact information
Huiling Ding: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Qiaofeng Wang: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Mengyang Wang: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Chao Zhang: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Han Lin: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Xin Jin: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Haizhou Hong: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
Fengkui Dang: College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China

Agriculture, 2025, vol. 15, issue 14, 1-24

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 ( Y 1 ) and straw percentage in the seeding layer ( Y 2 ) 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 Y 1 of 96.04% and reduced Y 2 to 35.25%. Field validation tests recorded Y 1 and Y 2 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.

Keywords: straw return; discrete element; soil-mixing blade; multi-parameter optimization; straw burial rate; straw percentage in the seeding layer (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/15/14/1558/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/14/1558/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:14:p:1558-:d:1706140

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().