In order to obtain accurate discrete element simulation model (DEM) parameters of compound fertilizer and solve the problem of challenging measurement of contact parameters of compound fertilizer particle, simulation calibration test was carried out by using EDEM simulation soft-ware. This study measured the intrinsic parameters and contact parameters of compound fertilizer particles through physical tests and established a simulation model that corresponds with the actual situation to calibrate the contact parameters of compound fertilizer particles. By using the Blackett-Burman test, the parameters that had a significant impact on the compound fertilizer’s resting angle were determined by the fertilizer-fertilizer collision recovery coefficient, fertilizer-fertilizer rolling friction coefficient, and fertilizer-steel static friction coefficient. Utilizing the steepest ascent test, the ideal value intervals for the three key parameters were identified. Box-Burman response surface analysis was used to establish and optimize the regression model of the rest angle and significant parameters. With the actual rest angle as the target value, the best combination of significant parameters was found, which was used for the simulation verification test. The simulated rest angle was 20.61°, whereas the real rest angle was 19.95°, with a relative error of 3.31%. The results demonstrate that the calibration parameters are essentially accurate representations of the real characteristics, which can serve as a reference point for simulation research and optimization design of variable fertilizer spreader.
To enhance the operation effect and working performance of our previously developed strip fertilization planter for broken straw back throwing and inter-row laying, and to improve the stability of straw crushing and consistency of straw mulching between rows (broken straw inter-row mulching), the key operation parameters of the planter were optimized in this study. On the basis of determining the transmission route and matching power consumption, the discrete element method was used to establish a mechanical model of straw particles using the EDEM software, which was then imported into the rigid–flexible coupled system of the ‘shredded straw-mechanism’. Quadratic regression orthogonal methods and rotation combination experiments were then designed to carry out a DEM virtual simulation and numerical simulation, and the optimal combination of operating parameters affecting planter working performance was obtained, which was also verified by field tests. The simulation test results showed that the smashing spindle speed (A) had the most significant influence on the coefficient of variation (Y1) of straw crushing, followed by the planter working forward speed (C). The conveying impeller speed (B) had the most significant influence on the coefficient of variation (Y2) of inter-row straw mulching, also followed by (C). The optimal combination of operating parameters after optimization were A = 2060.79 rpm, B = 206.25 rpm, and C = 0.95 m·s−1, and the optimal working performance of the planter was obtained as Y1 = 8.51% and Y2 = 10.34%. The evaluation index results corresponding to the field test were Y1 = 9.35% and Y2 = 10.97%, which met the technical requirements of the relevant operation machinery; the relative errors of the simulation test results were 9.87% and 9.63%, respectively, indicating the effectiveness of the virtual numerical simulation and the rationality of the optimized operation parameters. Our results provide a technical reference for realizing high-quality and smooth no-tillage seeding operations.
Background In order to obtain accurate discrete element simulation model (DEM) parameters of compound fertilizer and solve the problem of measuring parameters of contact mechanical properties of fertilizer particles, this study measured the intrinsic parameters and contact parameters of compound fertilizer particles through physical tests and established a simulation model that corresponds with the actual to solve the problem of challenging measurement of contact parameters of compound fertilizer particle. Results By using the Blackett-Burman test, the parameters that had a significant impact on the compound fertilizer's resting angle were determined to be the fertilizer-fertilizer collision recovery coefficient, fertilizer-fertilizer rolling friction coefficient, and fertilizer-steel static friction coefficient. Utilizing the steepest ascent test, the ideal value intervals for the three key parameters were identified. The Box-Burman response surface analysis was used to establish and optimize the regression model of the rest angle and significant parameters. With the actual rest angle as the target value, the best combination of significance parameters was found, which was used for the simulation verification test. The simulated rest angle is 20.61°, whereas the real rest angle was 19.95°, with a relative error of 3.31%. Conclusion The results demonstrate that the calibration parameters are essentially accurate representations of the real characteristics, which can serve as a reference point for simulation research and optimization design of variable fertilizer spreader.
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