<p>The study focused on the granular fertilizer used in Camellia oleifera planting areas in Changsha City, Hunan, China, and aimed to determine the discrete element simulation parameters for the interaction between the fertilizer and the spreader, with the repose angle as the response variable. By employing the Box-Behnken response surface optimization method, a regression model for the repose angle was developed and optimized to identify the best parameter combination. This model was validated through physical repose angle tests. The research findings revealed specific coefficients for the interaction between fertilizer particles, as well as between fertilizer particles and a PVC board. The optimal parameter combination resulted in a simulated repose angle of 36.10°, with an error of 1.74 % compared to the measured value. The calibrated fertilizer particle model facilitates discrete element simulations between fertilizer and fertilizer spreaders, offering essential data for investigating the movement patterns of fertilizer particles and optimizing the design of fertilizer spreaders.</p>

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Discrete element parameter calibration of compound fertilizer used in Camellia oleifera planting areas

  • Xueting Ma,
  • Yong You,
  • Deqiu Yang,
  • Decheng Wang,
  • Yunting Hui

摘要

The study focused on the granular fertilizer used in Camellia oleifera planting areas in Changsha City, Hunan, China, and aimed to determine the discrete element simulation parameters for the interaction between the fertilizer and the spreader, with the repose angle as the response variable. By employing the Box-Behnken response surface optimization method, a regression model for the repose angle was developed and optimized to identify the best parameter combination. This model was validated through physical repose angle tests. The research findings revealed specific coefficients for the interaction between fertilizer particles, as well as between fertilizer particles and a PVC board. The optimal parameter combination resulted in a simulated repose angle of 36.10°, with an error of 1.74 % compared to the measured value. The calibrated fertilizer particle model facilitates discrete element simulations between fertilizer and fertilizer spreaders, offering essential data for investigating the movement patterns of fertilizer particles and optimizing the design of fertilizer spreaders.