Parameter optimization of fluted-roller meter using discrete element method
Keywords:
discrete element method, fertilizer, flow evenness, fluted-roller meter, optimizationAbstract
The most important performance indicator of a fertilizer metering mechanism is the evenness of fertilizer flow. In this study, a regression mathematical model between the key operating parameters of the fluted roller meter and the flow evenness was developed to simulate a fluted-roller meter for metering diammonium phosphate fertilizer using the discrete element method (DEM). The model was verified by bench test using the same equipment and parameters as the DEM model. Selected working parameters of the fluted-roller meter, including roll length (L), roll rotational speed (n), and flap angle (α) (for fertilizer discharge control), were optimized to maximize the flow evenness. Flow evenness was assessed by the coefficient of variation (CV) of the discharging mass during the operation. The simulation and experiment results showed the similar trends, in terms of effects of machine parameters on the CV. The relative errors ranged from 0.2% to 34.6% with a mean of 10.5%. This demonstrated that the DEM model was feasible to simulate the metering process of the fluted-roller meter. The machine parameters that significantly affected the values of CV in descending order were α, L and n. Both simulation and measurement results revealed that the optimal machine parameters, represented by the minimum value of CV, were observed at L = 45 mm, n = 55 r/min and α = 22.5°. This combination of parameters returned CV values of 10.89% and 9.55% for simulations and measurements, respectively. The study provided useful information for guiding the design and selection of machine parameters for metering devices for fertilizer applications. Keywords: discrete element method, fertilizer, flow evenness, fluted-roller meter, optimization DOI: 10.25165/j.ijabe.20181106.3573 Citation: Huang Y X, Wang B T, Yao Y X, Ding S P, Zhang J C, Zhu R X. Parameter optimization of fluted-roller meter using discrete element method. Int J Agric & Biol Eng, 2018; 11(6): 65–72.References
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[18] Liedekerke P V, Tijskens E, Ramon H. Discrete element simulations of the influence of fertiliser physical properties on the spread pattern from spinning disc spreaders. Biosystems Engineering, 2009; 102(4): 392–405.
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[20] Bansal R K, Gharras O E, Hamilton J H. A roller-type positive-feed mechanism for seed metering. Journal of Agricultural Engineering Research, 1989; 43: 23–31.
[21] Boydas M G, Turgut N. Effect of vibration, roller design, and seed rates on the seed flow evenness of a studded feed roller. Applied Engineering in Agriculture, 2007; 23(4): 413–418.
[22] Huang Y, Hang C, Yuan M, Wang B, Zhu R. Discrete element simulation and experiment on disturbance behavior of subsoiling. Transaction of the CSAM, 2016; 47(7): 80–88. (in Chinese)
[23] Zhan Z, Li Y, Liang Z, Gong Z. DEM simulation and physical testing of rice seed impact against a grain loss sensor. Biosystems Engineering, 2013; 116(4): 410–419.
[24] Coetzee C J. Calibration of the discrete element method and the effect of particle shape. Powder Technology, 2016; 297: 50–70.
[2] Xia J, Xu Q, Wang Z, Zhou Y. Design of rice bud seed sowing and fertilizer machine. Transactions of the CSAM, 2010; 41(10): 44–47 (in Chinese)
[3] Lu X, Yang J, Chen S, Li Z. Design of straw returning and fertilization seeder’s seeding device. Journal of Agricultural Mechanization Research, 2014; 289(38): 26395–26405. (in Chinese)
[4] Kara M, Bayhan A K, Özsert I, Yildirim Y. Performance of fluted roll metering devices in seed drills with ammonium sulphate and diammonium phosphate. Applied Engineering in Agriculture, 2010; 26(2): 197–201.
[5] Maleki M R, Jafari J F, Raufat M H, Mouazen A M, Baerdemaeker J. Evaluation of seed distribution uniformity of a multi-flight auger as a grain drill metering device. Biosystems Engineering, 2006; 94(4):535–543.
[6] Ess D R, Hawkins S E, Young J C, Christmas E P. Evaluation of the performance of a belt metering system for soybeans planted with a grain drill. Applied Engineering in Agriculture, 2005; 21(6):965–969.
[7] Su N, Xu T, Song L, Wang R, Wei Y. Variable rate fertilization system with adjustable active feed-roll length. Int J Agric & Biol Eng, 2015; 8(4): 19–26.
[8] Abbaspour-Fard M H. Theoretical validation of a multi-sphere, discrete element model suitable for biomaterials handling simulation. Biosystems Engineering, 2004; 88(2): 153–161.
[9] Olieslagers R, Ramon H, Baerdemaeker J D. Calculation of fertilizer distribution patterns from a spinning disc spreader by means of a simulation model. Journal of Agricultural Engineering Research, 1996; 63(2): 137–152.
[10] Landry H, Laguë C, Roberge M. Discrete element representation of manure products. Computers & Electronics in Agriculture, 2006; 51(1): 17–34.
[11] Chattha H S, Zaman Q U, Chang Y K, Read S, Schumann A W, Brewster G R, et al. Variable rate spreader for real-time spot-application of granular fertilizer in wild blueberry. Computers and Electronics in Agriculture, 2014; 100(1): 70–78.
[12] Zeng Z, Chen Y, Zhang X. Modelling the interaction of a deep tillage tool with heterogeneous soil. Computers and Electronics in Agriculture, 2017; 143: 130–138.
[13] Mehatre R S, Dhomney S M, Sakhre D K. DEM simulation of coal particles for effective dispersion. Journal of Basic and Applied Engineering Research, 2014; 2(1): 43–45.
[14] Marigo M, Stitt E H. Discrete element method (DEM) for industrial applications: comments on calibration and validation for the modelling of cylindrical pellets. KONA Powder and Particle Journal, 2015; 32: 236–252.
[15] Coetzee C J. Calibration of the discrete element method and the effect of particle shape. Powder Technology,2016; 297: 50–70.
[16] Lv H, Yu J, Fu H. Simulation of the operation of a fertilizer spreader based on an outer groove wheel using a discrete element method. Mathematical and Computer Modelling, 2013; 58(3-4): 836–845.
[17] Coetzee C J, Lombard S G. Discrete element method modelling of a centrifugal fertiliser spreader. Biosystems Engineering, 2011; 109(4): 308–325.
[18] Liedekerke P V, Tijskens E, Ramon H. Discrete element simulations of the influence of fertiliser physical properties on the spread pattern from spinning disc spreaders. Biosystems Engineering, 2009; 102(4): 392–405.
[19] Guler I E. Effects of flute diameter fluted roll length, and speed on alfalfa seed flow. Applied Engineering in Agriculture, 2005; 21(1): 5–7.
[20] Bansal R K, Gharras O E, Hamilton J H. A roller-type positive-feed mechanism for seed metering. Journal of Agricultural Engineering Research, 1989; 43: 23–31.
[21] Boydas M G, Turgut N. Effect of vibration, roller design, and seed rates on the seed flow evenness of a studded feed roller. Applied Engineering in Agriculture, 2007; 23(4): 413–418.
[22] Huang Y, Hang C, Yuan M, Wang B, Zhu R. Discrete element simulation and experiment on disturbance behavior of subsoiling. Transaction of the CSAM, 2016; 47(7): 80–88. (in Chinese)
[23] Zhan Z, Li Y, Liang Z, Gong Z. DEM simulation and physical testing of rice seed impact against a grain loss sensor. Biosystems Engineering, 2013; 116(4): 410–419.
[24] Coetzee C J. Calibration of the discrete element method and the effect of particle shape. Powder Technology, 2016; 297: 50–70.
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Published
2018-12-08
How to Cite
Huang, Y., Wang, B., Yao, Y., Ding, S., Zhang, J., & Zhu, R. (2018). Parameter optimization of fluted-roller meter using discrete element method. International Journal of Agricultural and Biological Engineering, 11(6), 65–72. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3573
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Power and Machinery Systems
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