Optimization and Experiment of a Subsoiling Mechanism for Hilly and Mountainous Farmland Based on the Discrete Element Method
In response to the poor soil loosening effect of the previous bionic four-bar deep loosening mechanism, this study optimized the bionic motion trajectory according to agronomic requirements, established a trajectory synthesis optimization model of the Stephenson III six-bar mechanism, and solved it using an improved differential evolution algorithm to design a six-bar deep loosening mechanism achieving the optimized trajectory. Based on the Box–Behnken experiment, a regression model of the mechanism’s process parameters and performance indicators was established, and multiple indicators were integrated into a single objective via a satisfaction function. The optimal process parameters obtained were: entry angle 99.61°, shovel distance 185 mm, forward speed 0.29 m/s, and input speed 5π rad/s. A comparative simulation using the Discrete Element Method (DEM) showed that, compared to the bionic four-bar mechanism, the six-bar mechanism reduces resistance by 9.91%, increases soil-breaking capacity by 4.23%, reduces shallow disturbance by 14.43%, increases deep disturbance by 29.54%, and improves overall disturbance effect by 42.71%, verifying the effectiveness of agronomic-driven bionic trajectory optimization. Indoor soil tank experiments measured an average resistance of 258.83 N, with a relative error of 8.67% compared to the simulation result (281.32 N). The experiments and simulations were consistent in soil-breaking layer range, soil layer disturbance range, and soil discharge state, validating the model and the six-bar deep loosening mechanism.
Authors
- Yibin Zhai
- Jianneng Chen (ORCID: https://orcid.org/0000-0002-3816-2692)
- Haolong Chen
- Lei Zhang (ORCID: https://orcid.org/0000-0002-5726-7449)
Institutions
- Zhejiang Sci-Tech University (CN)
Publication Details
- Journal
- AgriEngineering
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3390/agriengineering7100349
- Citations
- 1
- Primary Topic
- Soil Mechanics and Vehicle Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.95
Funders
- National Natural Science Foundation of China