DEM-CFD Simulation of Organic–Inorganic Fertiliser Mixing-Spreading: Optimizing Inorganic Fertiliser Placement for Uniformity

Chengsai Fan, Yinyan Shi, Jianfu Sun, Ruiyin He (), Gaoming Xu and Yinian Li
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Chengsai Fan: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Yinyan Shi: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Jianfu Sun: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Ruiyin He: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Gaoming Xu: College of Intelligent Manufacturing and Equipment, Jiangmen Polytechnic, Jiangmen 529090, China
Yinian Li: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

Agriculture, 2025, vol. 15, issue 21, 1-27

Abstract: Organic–inorganic compound fertilizer application technology is a key technology for chemical fertilizer efficiency improvement, and stable grain yield increase. However, current agricultural machinery is unable to achieve uniform application of both organic and inorganic fertilisers. This study has compared two modeling methods and optimally selected the EDEM-Fluent coupled method. It aims to investigate the mechanism by which four factors—namely inorganic fertilizer drop location (Polar angle: −80° to 80°, polar radius: 60 mm to 180 mm), organic fertilizer flow rate (875–3500 g·s −1 ), inorganic fertilizer proportion (10–50%), and fertilizer spreading disc rotational speed (300–700 r·min −1 )—influence inorganic fertilizer uniformity. A Box–Behnken test was designed with the pole angle and pole diameter of the drop location, organic fertiliser flow rate, spreading disc rotational speed, and coefficient of variation in the uniformity of the inorganic fertilisers as indexes. The Box–Behnken test divided the fertiliser drop location into left and right parts and established a mathematical model of fertiliser drop location, rotational speed, and organic fertiliser flow rate. Finally, the predictive performance of the model was verified in the field by testing four scenarios: low speed–low flow rate, low speed–high flow rate, high speed–low flow rate, and high speed–high flow rate. The root mean square error (RMSE) between the EDEM-Fluent coupled test and the bench test is 1.53, which is better than the RMSE (2.55) between the EDEM test and the bench test. Before optimization, the coefficients of variationof inorganic fertilizer (ICV) under four operating conditions were 28.93%, 32.43%, 38.17%, and 29.32% respectively. After optimization, the corresponding values were 19.34%, 23.78%, 21.45%, and 23.10% respectively. Compared with the pre-optimization results, the organic fertilizer coefficient of variation (OCV) remained stable, while the inorganic fertilizer coefficient of variation (ICV) decreased by an average of 10.29%. This study greatly improved the uniformity of inorganic fertiliser in the organic–inorganic spreader and provides a basis for subsequent intelligent spreaders.

Keywords: organic–inorganic spreader; fertiliser drop location; EDEM-Fluent; mathematical modelling; fertiliser spreading discs (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
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