Parameter calibration for the discrete element simulation model of commercial organic fertilizer
Can Xie 1  
,   Jingwei Yang 1  
,   Baoshuai Wang 2  
,   Peng Zhuo 1  
,   Chengsong Li 1  
,   Lihong Wang 1  
More details
Hide details
College of Engineering and Technology, Southwest University, Chongqing 400700, China
College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Lihong Wang   

College of Engineering and Technology, Southwest University, China
Final revision date: 2021-02-21
Acceptance date: 2021-03-08
Publication date: 2021-04-02
Int. Agrophys. 2021, 35(1): 107–117
The parameters of a discrete element simulation model for commercial organic fertilizer particles were obtained both quickly and accurately, so that the uniformity and stability of the fertilizer discharged from the feeder may be studied using the discrete element simulation method. This study screened out the parameters which significantly influenced the repose angle of the commercial organic fertilizer using the Plackett-Burman test. Then, a model for the quadratic regression response surface of the repose angle vs the parameters was established through a Box-Behnken experiment with the measured repose angle of the fertilizer particles as the optimization index. The optimization results showed that the rolling friction coefficient and static friction coefficient between the fertilizer particles, as well as the optimal simulation parameter for the Johnson-Kendall-Roberts surface energy were 0.056, 0.355 and 0.011 J m-2, respectively. A discrete element simulation test was carried out with the optimal simulation parameters, and the repose angle error of the simulation test was found to be 0.40% relative to that of the physical test, which proved the accuracy and validity of the simulation parameters for the discrete element model of the organic fertilizer. The simulation results may provide the basic parameters for establishing a discrete element model of commercial organic fertilizer particles and investigating the performance of organic fertilizer feeders using the simulation method.
Chen Y., Munkholm L.J., and Nyord T., 2013. A discrete element model for soil-sweep interaction in three different soils. Soil Till. Res., 126: 34-41.
Coetzee C.J., and Els D.N.J., 2009. Calibration of discrete element parameters and the modelling of silo discharge and bucket filling. Computers Electronics Agric., 65(2): 198-212.
Dong X.Y. and Yao W.C., 2010. Basic situation of organic fertilizer and its position in agricultural production. Modern Agric., (08): 30-31.
Fadavi A., Mirzabe A.H., and Mansouri A., 2015. Moisture-dependent physical properties of Plantain (Plantago major L.) seeds by image processing analysis. Agric. Eng. Int.: CIGR J., 17(3): 353-363..
Fielke J.M., Ucgul M., and Saunders C., 2013. Discrete element modeling of soil-implement interaction considering soil plasticity, cohesion and adhesion. ASABE Int. Meeting, July 21-24, Kansas City, USA.
Gallego E., Fuentes J.M., Ruiz Á., Hernández-Rodrigo G., Aguado P., and Ayuga F., 2020. Determination of mechanical properties for wood pellets used in DEM simulations. Int. Agrophys., 34(4), 485-494.
Ghazavi M., Hosseini M., and Mollanouri M., 2008. A comparison between angle of repose and friction angle of sand. 12th Int. Conf. Int. Association for Computer Methods and Advances in Geomechanics (IACMAG), October 1-6, Goa, India.
González-Montellano C., Fuentes J.M., Ayuga-téllez E., and Ayuga F., 2012. Determination of the mechanical properties of maizegrains and olives required for use in DEM simulations. J. Food Eng., 111(4): 553-562.
Han Y.L., Jia F.G., Tang Y.R., Liu Y., and Zhang Q., 2014. Influence of granular coefficient of rolling friction on accumulation characteristics. Acta Physica Sinica, 63(17): 173-179.
Hu Y.G., Yang Y.C., Xiao H.R., and Li P.P., 2016. Simulation and parameter optimization of centrifugal fertilizer spreader for tea plants. Trans. Chinese Soc. Agric. Machinery, 47(05): 77-82.
Huang S.W., Tang J.W., and Li C.H., 2017. Status of heavy metals, nutrients, and total salts in commercial organic fertilizers and organic wastes in China. J. Plant Nutr. Fertil., 23(1): 162-173.
Huang Y.X., Hang C.G., Yuan M.C., Wang B.T., and Zhu R.X., 2016. Discrete element simulation and experiment on disturbance behavior of subsoiling. Trans. Chinese Soc. Agric. Machinery, 47(07): 80-88.
Jia X.G., Chen X., and Li X., 2015. Experiment research on instantaneous natural repose angle of granular slope under different granularity and stack form. Modern Mining, 31(01): 25-27+45.
Jiang Q., Wang R.B., and Sun W.L., 2018. Potential evaluation and countermeasures on livestock manure resource utilization-based on perspective of commercial organic fertilizer utilization. J. Huazhong Agric. University (Social Sciences Edition), 30-37, 166-167.
Li B., Chen Y., and Chen J., 2016. Modeling of soil-claw interaction using the discrete element method (DEM). Soil Till. Res., 158: 177-185.
Liu C.L., Wei D., Song J.N., Li Y.N., Du X., and Zhang F.Y., 2018. Systematic study on boundary parameters of discrete element simulation of granular fertilizer. Trans. Chinese Soc. Agric. Machinery, 49(09): 82-89.
Liu F.Y., Zhang J., and Chen J., 2018. Construction of visco-elasto-plasticity contact model of vibratory screening and its parameters calibration for wheat. Trans. Chinese Soc. Agric. Eng., 34(15): 37-43.
Liu F.Y., Zhang J., Li B., and Chen J., 2016. Calibration of parameters of wheat required in discrete element method simulation based on repose angle of particle heap. Trans. Chinese Soc. Agric. Eng., 32(12): 247-253.
Luo S., Yuan Q.X., Gouda S., and Yang L.Y., 2018. Parameters calibration of vermicomposting nursery substrate with discrete element method based on JKR contact model. Trans. Chinese Soc. Agric. Machinery, 49(04): 343-350.
Molenda M., Horabik J., Łukaszuk J., and Wiącek J., 2011. Variability of intergranular friction and its role in DEM simulation of direct shear of an assembly of rapeseeds. Int. Agrophys., 25(4), 361-368.
Oleh B., Alfred D., Enrique R., and Allen W., 2009. Simulation of a schulze ring shear tester. Proc. 6th Int. Conf. Micromechanics of Granular Media, July 01, 1145, 409.
Ucgul M., Fielke J.M., and Saunders C., 2015. Three-dimensional discrete element modelling (DEM) of tillage: accounting for soil cohesion and adhesion. Biosys. Eng., 129: 298-306.
Wang L.M., Fan S.Y., Cheng H.S., Meng H.B., Sheng Y.J., Wang J., and Zhou H.B., 2020. Calibration of contact parameters for pig manure based on EDEM. Trans. Chinese Soc. Agric. Eng., 36(15): 95-102.
Wang X.L., Hu H., Wang Q.J., Li H.W., He J., and Chen W.Z., 2017. Calibration method of soil contact characteristic parameters based on DEM theory. Trans. Chinese Soc. Agric. Machinery, 48(12): 78-85.
Xia P., Li Y., and Yang G.B., 2015. Discrete element simulation study on pile angle of bulk material. Hoisting and Conveying Machinery, (02): 107-110.
Xu X.H. and He M.Z., 2010. Experimental design and application of design-expert and SPSS. Science Press, Beijing, China.
Zhao Y.Z., Jiang M.Q., Xu P., and Zheng J.Y., 2009. Discrete element simulation of the microscopic mechanical structure in sandpile. Acta Physica Sinica, 58(03): 1819-1825.
Zhang X.M., 2017. Study on the drying process and equipment for organic fertilizer pellets. China Agricultural University, Beijing, China.
Zhong W.Z., He K.J., Zhou Z.Y., Xia W., and Li Y.Y., 2009. Calibration of damping coefficient in discrete element method simulation. Acta Physica Sinica, 58(08): 5155-5161.