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March 13, 2026AgriEngineering0 citationsOpen Access

Numerical Simulation and Response Surface Optimization of Sliding-Cutting Digging Shovel for Two-Row Ridge Peanut Planting

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QSQiantao SunHQHuan QinJHJibang Hu

Key Points

  • The aim is to optimize the structural parameters of a peanut digging shovel to improve its performance.
  • Examined forces on the digging shovel using a graphical mechanics approach.
  • Developed a numerical simulation model with EDEM software to analyze working resistance.
  • Constructed quadratic regression models using the Box–Behnken response surface method.
  • Identified forward speed, soil entry angle, and blade tilt angle as influencing factors.
  • Validated simulation results against field experiments.
  • Optimized parameters achieved a working resistance of 1667 N.
  • Soil non-breakage ratio improved to 20.56%.
  • Error between field tests and model predictions was less than 2%.
  • Demonstrated feasibility of simulation-based optimization for digging shovels.

Abstract

To optimize the structural parameters of a peanut digging shovel and enhance its operational performance, the forces exerted on the digging shovel were examined through a graphical mechanics approach. This analysis identified the primary structural and operational parameters of the shovel’s design. A numerical simulation model for the working resistance of the shovel was established adopting EDEM (2018) discrete element analysis software and subsequently validated through comparative analysis with field experiment results. Employing the Box–Behnken response surface method, quadratic regression models were constructed with digging resistance and soil non-breakage ratio as the response variables, while forward speed, soil entry angle, and blade tilt angle were taken as the influencing factors. Optimization analysis of these parameters was conducted. The optimization results indicate that with a forward speed of 0.8 m/s, a soil entry angle of 20°, and a blade tilt angle of 40°, the working resistance of the shovel is 1667 N, and the soil non-breakage ratio is 20.56%. The error between the field test results and the predictions from the optimized model was less than 2%, illustrating the feasibility of the model and the optimization outcomes. This study offers a technical reference for future simulation-based optimization of peanut digging shovels.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/69b3acf302a1e69014ccf1dehttps://doi.org/10.3390/agriengineering8030107
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