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DEM parameters calibration and verification for coated maize particles

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Abstract

The accuracy of discrete element simulation is determined by simulation parameters. In this research, the parameters of coated maize particles were calibrated and verified using the discrete element method. The optimization object was to take the angle of repose at 27.05°, as determined by the physical test. The optimal contact parameters combination based on the discrete element method was obtained using the Plackett–Burman design, steepest ascent experiment, and Box–Behnken test methods. According to the findings, the static friction coefficient of maize particle–maize particle was 0.237, the rolling friction coefficient of maize particle–maize particle was 0.029, and the rolling friction coefficient of maize particle–aluminum alloy was 0.103. The verification test revealed a relative angle of repose inaccuracy of 0.22% between simulation and physical values. It was possible to get the velocity variation laws, and stability values of maize particles that were consistent with the physical situation. The variation tendency of values was compatible with the physical test when the velocity of the coated maize particles was stable, demonstrating the correctness and dependability of the calibrated parameters.

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References

  1. Zeng ZW, Ma X, Cao XL, Li ZH, Wang XC (2021) Critical review of applications of discrete element method in agricultural engineering. Trans Chin Soc Agric Mach 52:1–20

    Google Scholar 

  2. Han DD, Zhang DX, Jing HR, Yang L, Cui T, Ding YQ, Wang ZD, Wang YX, Zhang TL (2018) DEM-CFD coupling simulation and optimization of an inside-filling air blowing maize precision seed-metering device. Comput Electron Agric 150:426–438

    Article  Google Scholar 

  3. Liu YF, Wu ZL, Nie YZ, Liu FP, Wu ML (2019) Seeding performance of double hole-wheel seedmeter for rapeseed based on EDEM. J Hunan Agric Univ 45:554–559

    Google Scholar 

  4. Shi GK, Li JB, Ding LP, Zhang ZY, Ding HZ, Li N, Kan Z (2022) Calibration and tests for the discrete element simulation parameters of fallen jujube fruit. Agriculture 12:38

    Article  Google Scholar 

  5. Li CH, He B (2005) Simulation and virtual reality design for spade punch planter of corn. J Shenyang Agric Univ 6:643–649

    Google Scholar 

  6. Wang YL, Yang DB, Yuan HZ, Yan XJ, Qi SH (2009) Effects of seed-coating tebuconazole and difenoconazole on emergence of maize seeds and response of seedlings at chilling stress. Chin J Pestic Sci 11:59–64

    Google Scholar 

  7. Wei S, Wei H, Saxen H, Yu Y (2022) Numerical analysis of the relationship between friction coefficient and repose angle of blast furnace raw materials by discrete element method. Materials 15:903

    Article  Google Scholar 

  8. Thomas R, André K (2019) DEM parameter calibration of cohesive bulk materials using a simple angle of repose test. Particuology 45:105–115

    Article  Google Scholar 

  9. Coetzee C (2020) Calibration of the discrete element method: Strategies for spherical and non-spherical particles. Powder Technol 364:851–878

    Article  Google Scholar 

  10. Santos KG, Campos AVP, Oliveira OS, Ferreira LV, Francisquetti MC, Barrozo MAS (2015) Dem simulations of dynamic angle of repose of acerola residue: a parametric study using a response surface technique. Blucher Chem Eng Proc 1:11326–11333

    Google Scholar 

  11. Balevičius R, Sielamowicz I, Mróz Z, Kačianauskas R (2011) Investigation of wall stress and outflow rate in a flat-bottomed bin: a comparison of the DEM model results with the experimental measurements. Powder Technol 214:322–336

    Article  Google Scholar 

  12. Grima AP, Wypych PW (2011) Development and validation of calibration methods for discrete element modelling. Granul Matter 13:127–132

    Article  Google Scholar 

  13. Wang YX, Liang ZJ, Zhang DX, Cui T, Shi S, Li KH, Yang L (2016) Calibration method of contact characteristic parameters for corn seeds based on EDEM. Trans Chin Soc Agric Eng 32:36–42

    Google Scholar 

  14. Bek M, Gonzalez-Gutierrez J, Lopez JAM, Bregant D, Emri I (2016) Apparatus for measuring friction inside granular materials-Granular friction analyzer. Powder Technol 288:255–265

    Article  Google Scholar 

  15. Guo ZG, Chen XL, Liu HF, Guo Q, Guo XL, Lu HF (2014) Theoretical and experimental investigation on angle of repose of biomass–coal blends. Fuel 116:131–139

    Article  Google Scholar 

  16. Ileleji KE, Zhou B (2008) The angle of repose of bulk corn stover particles-Science Direct. Powder Technol 187:110–118

    Article  Google Scholar 

  17. Jófez H, Molenda M (2016) Parameters and contact models for DEM simulations of agricultural granular materials: a review. Biosyst Eng 147:206–225

    Article  Google Scholar 

  18. Zhang S, Tekeste MZ, Li Y (2020) Scaled-up rice grain modelling for DEM calibration and the validation of hopper flow. Biosyst Eng 194:196–212

    Article  Google Scholar 

  19. Zhang S, Xu KW, Pei LZ, Chen XH, Zhang WW, Xiao H, Peng DD, Chen YX (2021) Grey correlation analysis of meteorological factors, maize lodging and yield in the hilly region of central sichuan. J Sichuan Agric Univ 39:666–680

    Google Scholar 

  20. Fang M, Yu ZH, Zhang WJ, Cao J, Liu WH (2022) Friction coefficient calibration of corn stalk particle mixtures using Plackett-Burman design and response surface methodology. Powder Technol 396:731–742

    Article  Google Scholar 

  21. Peng CW, Xu DJ, He X, Tang YH, Sun SL (2020) Parameter calibration of discrete element simulation model for pig manure organic fertilizer treated with Hermetia illucen. Trans Chin Soc Agric Eng 36:212–218

    Google Scholar 

  22. Wu T, Huang WF, Chen XS, Ma X, Han ZQ, Pan T (2017) Calibration of discrete element model parameters for cohesive soil considering the cohesion between particles. J Huanan Agric Univ 38:93–98

    Google Scholar 

  23. Gao XJ, Zhou ZY, Xu Y, Yu Y, Su Y, Cui T (2020) Numerical simulation of particle motion characteristics in quantitative seed feeding system. Powder Technol 367:643–658

    Article  Google Scholar 

  24. Hu HJ, Zhou ZL, Wu WC, Yang WH, Li T, Chang C, Ren WJ, Lei XL (2021) Distribution characteristics and parameter optimization of an air-assisted centralized seed-metering device for rapeseed using a CFD-DEM coupled simulation. Biosyst Eng 208:246–259

    Article  Google Scholar 

  25. Wang MM, Wang WZ, Yang LQ, Zhang KF, Zhang HM (2018) Calibration of discrete element model parameters for maize kernel based on response surface methodology. J Huanan Agric Univ 39:111–117

    Google Scholar 

  26. Shi LR, Wu JM, Sun W, Zhang FW, Sun BG, Liu QW, Zhao WY (2014) Simulation test for metering process of horizontal disc precision metering device based on discrete element method. Trans Chin Soc Agric Eng 30:40–48

    Google Scholar 

  27. Han DD, Zhang DX, Yang L, Cui T, Ding YQ, Bian XH (2017) Optimization and experiment of inside-filling air-blowing seed metering device based on EDEM-CFD. Trans Chin Soc Agric Mach 48:43–51

    Google Scholar 

  28. Zhang CL, Chen LQ, Wu R (2016) Simulation analysis of seeding performance of spoon-wheel seed metering device based on the discrete element method. J Anhui Agric Univ 43:848–852

    Google Scholar 

  29. Du X, Liu CL, Jiang M, Zhang FY, Yuan H, Yang HX (2019) Design and experiment of self-disturbance inner-filling cell wheel maize precision seed-metering device. Trans Chin Soc Agric Eng 35:23–34

    Google Scholar 

  30. Shi L, Yang X, Zhao W, Sun W, Wang G, Sun B (2021) Investigation of interaction effect between static and rolling friction of corn kernels on repose formation by DEM. Int J Agric Biol Eng 14:238–246

    Google Scholar 

  31. Cui T, Liu J, Yang L, Zhang DX, Zhang R, Lan W (2013) Experiment and simulation of rolling friction characteristic of corn seed based on high-speed photography. Trans Chin Soc Agric Eng 29:34–41

    Google Scholar 

Download references

Acknowledgements

This work was supported by the Natural Science Foundation of Sichuan Province (2022NSFSC0138), Technological Innovation R&D Projects of Chengdu Science and Technology Bureau (2022-YF05-01141-SN), the National Industry System of Corn Technology (CARS-02), and the Key R&D Program of Science & Technology Department of Sichuan Province (2021YFG0063).

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Correspondence to Dan-Dan Han.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, and there is no professional or other personal interest of any kind in any product that could be construed as influencing the position presented in the manuscript entitled “Calibration and verification of DEM parameters for coated maize particles.” Thank you very much. Sincerely yours, Dan-Dan Han, You Xu, Yu-Xia Huang, Bin He, Jian-Wu Dai, Xiao-Rong Lv, Li-Hua Zhang.

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Han, DD., Xu, Y., Huang, YX. et al. DEM parameters calibration and verification for coated maize particles. Comp. Part. Mech. 10, 1931–1941 (2023). https://doi.org/10.1007/s40571-023-00598-7

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  • DOI: https://doi.org/10.1007/s40571-023-00598-7

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