Parameter calibration of American ginseng seeds for discrete element simulation
Keywords:
American ginseng seed, parameter calibration, discrete element, experimentsAbstract
The accurate contact parameters of American ginseng seed particles,which are the basis for establish the discrete element simulation model of American ginseng seeds.The parameters of American ginseng seeds were calibrated by combining the physical tests and simulation tests together. The basic physical parameters, contact parameters and repose angle of sprouted American ginseng seeds were determined by physical tests. The simulation parameters were significantly screened by conducting the Plackett-Burman test. Meanwhile, it was determined that the collision recovery coefficient, static friction coefficient and rolling friction coefficient of interspecific contact parameters have significant influences on the repose angle of the simulation test. By the steepest climb test, the optimal interval for the value of the significance parameter was determined. Subsequently, the second-order regression equation between contact parameters and the repose angle was established, the regression equation was optimized and solved, and the best combination of simulation parameters was determined. The collision recovery coefficient between sprouted American ginseng seeds was 0.346, the static friction coefficient was 0.769, and the rolling friction coefficient was 0.490. By the calibrated seed group of American ginseng for discrete element simulation test, the average repose value angle was 38.80°, and the relative error with the measured repose angle was 0.733%. The results revealed that the simulation parameters of American ginseng seeds were reliable, which can provide a basis for the design and performance optimization of American ginseng seed-metering device in the later stage. Keywords: American ginseng seed, parameter calibration, discrete element, experiments DOI: 10.25165/j.ijabe.20221506.7338 Citation: Zhang W X, Wang F Y. Parameter calibration of American ginseng seeds for discrete element simulation. Int J Agric & Biol Eng, 2022; 15(6): 16–22.References
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[2] Ma Z, Li Y M, Xu L Z. Summarize of particle movements research in agricultural engineering realm. Transactions of the CSAM, 2013; 44(2): 22-29. (in Chinese)
[3] Murray S E, Chen Y. Soil bin tests and discrete element modeling of a disc opener. Canadian Society for Bioengineering, 2018; 60(1): 2.1–2.10.
[4] He Y M, Wu M L, Xiang W, Yan B Wang J Y Bao P F. Application progress of discrete element method in agricultural engineering. China Agronomy Bulletin, 2017; 33(20): 133–137. (in Chinese)
[5] Yu J Q, Fu H, Li H, Shen Y F. Application of discrete element method to research and design of working parts of agricultural machines. Transactions of the CSAE, 2005; 21(5): 1–6. (in Chinese)
[6] Xu S, Zhu F S, Zhang J. A review of the discrete element method and its coupling algorithms. Mechanics in Engineering, 2013; 35(1): 8–14, 19. (in Chinese)
[7] Chen K K. Investigation into calibration method of discrete element model parameters for bulk material and its application. Wuhan University of Technology, 2017; 91p. (in Chinese)
[8] Horabik J, Molend M. Parameters and contact models for DEM simulations of agricultural granular materials: A review. Biosystems Engineering, 2016; 147: 206–225.
[9] Harmon J M, Karapiperis K, Li L C, Moreland S, Andrade J E. Modeling connected granular media: Particle bonding within the level set discrete element method. Computer Methods in Applied Mechanics and Engineering, 2021; 373: 113486. doi: 10.1016/j.cma.2020.113486.
[10] Zeng Z W, Ma X, Cao X L, Li Z H, Wang X C. Critical review of applications of discrete element method in agricultural engineering. Transactions of the CSAM, 2021; 52(4): 1–20. (in Chinese)
[11] Li L. Research progress and prospects of DEM in agricultural engineering application. Journal of Chinese Agricultural Mechanization, 2015; 36(5): 345–348. (in Chinese)
[12] Hao J J, Wei W B, Huang P C, Qin J H, Zhao J G. Discrete element parameter calibration and experimental verification of oil sunflower seeds. Journal of agricultural engineering, 2021; 37 (12): 36–44.(in Chinese)
[13] Hou Z F, Dai N Z, Chen Z, Chou Y Zhang X W. Determination and evaluation of physical parameters of Wheatgrass seeds leave Calibration of discrete element simulation parameters. Transactions of the CSAE, 2020; 36(24): 46–54.(in Chinese)
[14] Zhang R F, Jiao W, Zhou J L, Qi B, Liu H, Xia Q Q. Parameter calibration and experiment of rice seeds discrete element model with different filling particle radius. Transactions of the CSAM, 2020; 51(S1): 227–235. (in Chinese)
[15] Horabik J, Parafiniuk P, Molenda M. Experiments and discrete element method simulations of distribution of static load of grain bedding at bottom of shallow model silo. Biosystems Engineering, 2016; 149: 60–71.
[16] Pasha M, Hare C, Ghadiri M, Gunadi A, Piccione P M. Effect of particle shape on flow in discrete element method simulation of a rotary batch seed coater. Powder Technology, 2016; 296: 29–36.
[17] Yuan Q C, Xu L M, Niu C, Ma S, Yan C G, Zhao S J, et al. Development of soil-fertilizer mixing layered backfiller for organic fertilizer deep applicator in orchard. Transactions of the CSAE, 2021; 37(5): 11–19. (in Chinese)
[18] Hao J J, Long S F, Li J C, Ma Z K, Zhao X S, Zhao J G, et al. Effect of granular ruler in discrete element model of sandy loam fluidity in Ma yam planting field. Transactions of the CSAE, 2020; 36(21): 56–64. (in Chinese)
[19] Zhang Y T, Ding R, Zuo Z Y, Tang L Q, Liu Y P, Jiang Z Y, et al. A lateral compressive force from a cylindrical specimen: A new method for simultaneous measurement of elastic modulus and Poisson's ratio of materials by displacement relationship. Real Empirical Mechanics, 2019; 34(3): 365–372. (in Chinese)
[20] Wu M C, Cong J L, Yan Q, Zhu T, Peng X Y, Wang Y S. Calibration and experiments for discrete element simulation parameters of peanut seed particles. Transactions of the CSAE, 2020; 36(23): 30–38. (in Chinese)
[21] Shi L R, Ma Z T, Zhao W Y, Yang X P, Sun B G, Zhang J P. Calibration of simulation parameters of flaxed seeds using discrete element method and verification of seed-metering test. Transactions of the CSAE, 2019; 35(20): 25–33. (in Chinese)
[22] Chandio F A, Li Y M, Ma Z, Ahmad F, Syed T N, Shaikh S A, Tunio M H. Influences of moisture content and compressive loading speed on the mechanical properties of maize grain orientations. Int J Agric & Biol Eng, 2021; 14(4): 41–49.
[23] Shi L R, Sun W, Zhao W Y, Yang X P, Feng B. Parameter determination and validation of discrete element model of seed potato mechanical seeding. Transactions of the CSAE, 2018; 34(6): 35–42. (in Chinese)
[24] Ma Y H, Song C D, Xuan C Z, Wang H Y, Yang S, Wu P. Parameters calibration of discrete element model for alfalfa straw compression simulation. Transactions of the CSAE, 2020; 36(11): 22–30. (in Chinese).
[25] Müller D, Fimbinger E, Brand C. Algorithm for the determination of the angle of repose in bulk material analysis. Powder Technology, 2021; 383: 598–605.
[26] Kalman H. Quantification of mechanisms governing the angle of repose, angle of tilting, and Hausner ratio to estimate the flowability of particulate materials. Powder Technology, 2021; 382(32): 573–593
[27] Ferreira I S B, Peruchi R S, Fernandes N J, Rotella J P. Measurement system analysis in angle of repose of fertilizers with distinct granulometries. Measurement, 2021; 170: 108681. doi: 10.1016/j.measurement.2020. 108681.
[28] Peng C W, Xu D J, He X, Tang Y H, Sun S L. Parameter calibration of discrete element simulation model of pig manure organic fertilizer treated by black water gadfly. Transactions of the CSAE, 2020; 36(17): 212–218. (in Chinese)
[29] Wu A X, Sun Y Z, Liu X P. Granular dynamic theory and its application. Beijing: Metallurgical Industry Press, 2002. (in Chinese)
[30] Jia F G, Han Y L, Liu Y, Cong Y P, Shi Y F, Yao L N, et al. Simulation prediction method of repose angle for rice particle materials. Transactions of the CSAE, 2014; 30(11): 254–260. (in Chinese)
[31] Li P L, Ucgul M, Lee S-H, Saunders C. A new approach for the automatic measurement of the angle of repose of granular materials with maximal least square using digital image processing. Computers and Electronics in Agriculture, 2020; 172: 105356. doi: 10.1016/j.compag.2020.105356.
[32] Wu X. Image edge detection based on Matlab. Jilin University, 2014; 49p. (in Chinese)
[33] Jia H L, Deng J Y, Deng Y L, Chen T Y, Wang G, Sun Z J, et al. Contact parameter analysis and calibration in discrete element simulation of rice straw. Int J Agric & Biol Eng, 2021; 14(4): 72–81.
[34] Liang R Q, Chen X G, Jiang P, Zhang B C, Meng H W, Peng X B, et al. Calibration of the simulation parameters of the particulate materials in film mixed materials. Int J Agric & Biol Eng, 2020; 13(4): 29–36.
[35] Han D D, Zhang D X, Yang L, Cui T, Ding Y Q, Bian X H. Optimization and experiment of inside-filling air-blowing seed metering device based on EDEM-CFD. Transactions of the CSAM, 2017; 48(11): 43–51. (in Chinese)
[36] Zheng J, Liao Y T, Zhou Q F, Wang D. Physical and mechanical properties of American ginseng seeds in germination and non-germination state. Jiangsu Agricultural Science, 2020; 48(10): 256–262. (in Chinese)
[37] Zheng J. Design and experimental study on pneumatic needle precision centralized seeding device for American ginseng. Huazhong Agricultural University, 2019; 78p. (in Chinese)
[38] Yu Q X, Liu Y, Chen X B, Sun K, Lai Q H. Calibration and experiment of simulation parameters for Panax notoginseng seeds based on DEM. Transactions of the CSAM, 2020; 51(2): 123–132. (in Chinese)
[39] Wang Y X, Liang Z J, Zhang D X, Cui T, Shi S, Li K H, et al. Calibration method of contact characteristic parameters for corn seeds based on EDEM. Transactions of the CSAE, 2016; 32(22): 36–42. (in Chinese)
[40] Dai F, Guo W J, Song X F, Shi R J, Qu J F, Zhao W Y. Measurement and simulation of the suspension velocity of flax threshing material using CFD-DEM. Int J Agric & Biol Eng, 2021; 14(5): 230–237.
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2022-12-27
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Zhang, W., & Wang, F. (2022). Parameter calibration of American ginseng seeds for discrete element simulation. International Journal of Agricultural and Biological Engineering, 15(6), 16–22. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/7338
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Applied Science, Engineering and Technology
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