Investigation of interaction effect between static and rolling friction of corn kernels on repose formation by DEM
Keywords:
corn kernels, coefficient of static friction, coefficient of rolling friction, repose angle, interaction influenceAbstract
The coefficient of static friction (SF), the coefficient of rolling friction (RF) for particles are two key parameters affecting the repose angle formation and flow characteristics. In this paper, the interaction effects of SF and RF on the formation process of corn repose angle was investigated by the discrete element method. Firstly, five shape kinds of corn models (horse tooth, spherical cone, spheroid, oblate, and irregular shape) were established. Secondly, aluminum cylinder and organic glass box were used to conduct the simulation experiments with taking SF and RF as independent factors and seeing the repose angle as dependent value. Based on simulation results the regression equations were established. Simulation results showed the relation between two factors and the rotational kinetic energy is not nonlinear, and SF does not significantly restrict the flow of corn models after increasing the flow direction, and the effect of SF on the contact number between corns and the bottom plate is remarkable, while the effect of RF on the contact number is not remarkable. Finally, the interaction effect of two factors on the repose angle was analyzed by variance analysis and results showed SF and RF all have a significant impact on the repose angle. Moreover, their interaction effect has an impact on the repose angle. Keywords: corn kernels, coefficient of static friction, coefficient of rolling friction, repose angle, interaction influence DOI: 10.25165/j.ijabe.20211405.4357 Citation: Shi L R, Yang X P, Zhao W Y, Sun W, Wang G P, Sun B G. Investigation of interaction effect between static and rolling friction of corn kernels on repose formation by DEM. Int J Agric & Biol Eng, 2021; 14(5): 238–246.References
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[25] González-Montellano C, Fuentes J M, Ayuga-Téllez E, Ayuga F. Determination of the mechanical properties of corn grains and olives required for use in DEM simulations. Journal of Food Engineering, 2012; 111(4): 553–562.
[2] 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)
[3] Dun G Q, Gao Z Y, Liu Y X, Ji W Y, Mao N, Wu X P, et al. Optimization design of fertilizer apparatus owned arc gears based on discrete element method. Int J Agric & Biol Eng, 2021; 14(2): 97–105.
[4] Wang Y X, Liang Z J, Zhang D X, Cui T, Shi S, Li K L, 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)
[5] Chen H, Zhao S, Zhou X. DEM investigation of angle of repose for super-ellipsoidal particles. Particuology, 2020; 50: 53–66.
[6] Chen J, Gao R, Liu Y P, Zhu H T. Numerical study of particle morphology effect on the angle of repose for coarse assemblies using DEM. Advances in Materials Science and Engineering, 2019; 2019: 1–15.
[7] Shi L R, Zhao W Y, Sun B G, Sun W. Determination of the coefficient of rolling friction of irregularly shaped maize particles by using discrete element method. Int J Agric & Biol Eng, 2020; 13(2): 15–25.
[8] Jayasundara C T, Yang R Y, Yu A B, Curry D. Discrete particle simulation of particle flow in IsaMill—effect of grinding medium properties. Chemical Engineering Journal, 2008; 135(1): 103–112.
[9] Zeng Y, Jia F, Meng X, Han Y, Xiao Y. The effects of friction characteristic of particle on milling process in a horizontal rice mill. Advanced Powder Technology, 2018; 29(5): 1280–1290.
[10] Wang L, Li R, Wu B, Wu Z, Ding Z. Determination of the coefficient of rolling friction of an irregularly shaped maize particle group using physical experiment and simulations. Particuology, 2017; 38(6): 185–195.
[11] Han Y L, Jia F G, Tang Y R, Liu Y, Zhang Q. Influence of granular coefficient of rolling friction on accumulation characteristics. Acta Physica Sinica, 2014; 63(17): 174–501.
[12] Lee S, Park J. Standardized friction experiment for parameter determination of discrete element method and its validation using angle of repose and hopper discharge. Multiscale Science and Engineering, 2019; 1(3): 247–255.
[13] Kanakabandi C K, Goswami T K. Determination of properties of black pepper to use in discrete element modeling. Journal of Food Engineering, 2019; 246: 111–118.
[14] Shi L R, Ma Z T, Zhao W Y, Yang X P, Sun B G, Zhang J P. Calibration of simulation parameters of flax seeds using discrete element method and verification of seed-metering test. Transactions of the CSAE, 2019; 35(20): 25–33. (in Chinese)
[15] Peng F, Wang H Y, Fang F, Liu Y D. Calibration of discrete element model parameters for pellet feed based on injected section method. Transactions of the CSAM, 2018; 49(4): 140–147. (in Chinese)
[16] Liu Y, Han Y L, Jia F G, Yao LN, Wang H, Shi Y F. Numerical simulation on stirring motion and mixing characteristics of ellipsoid particles. Acta Physica Sinica, 2015; 64(11): 114–501.
[17] Chen J, Zhou H, Zhao Z, Li Y M, Gong Z Q. Analysis of rice seeds motion on vibrating plate using EDEM. Transactions of the CSAM, 2011; 42(10): 79–83, 100. (in Chinese)
[18] Shi L R, Zhao W Y, Wu J M, Zhang F W, Sun W, Dai F, Wang L J. Application of slice modeling technology in finite element analysis of agricultural products. Journal of Chinese Agricultural Mechanization, 2013; 6: 110–112. (in Chinese)
[19] Markauskas D, Kaˇcianauskas R, Dˇziugys A, Navakas R. Investigation of adequacy of multi-sphere approximation of elliptical particles for DEM simulations. Granular Matter, 2010; 12(1): 107–123.
[20] Markauskas D, Ramírez-Gómez Á, Kačianauskas R, Zdancevičius E. Maize grain shape approaches for DEM modeling. Computers & Electronics in Agriculture, 2015; 118(C): 247–258.
[21] ASAE Standards S368.4 (R2017): Compression test of food materials of convex shape. ASABE, 2017; pp.592–599.
[22] Boac J M, Casada M E, Maghirang R G, Harner J P. Material and interaction properties of selected grains and oilseeds for modeling discrete particles. Transactions of the ASABE, 2010; 53 (4): 1201–1216.
[23] Horabik J, Molenda M. Parameters and contact models for DEM simulations of agricultural granular materials: a review. Biosystems Engineering, 2016; 147: 206–225.
[24] Wang L J, Zhou W X, Ding Z J, Li X X, Zhang C G. Experimental determination of parameter effects on the coefficient of restitution of differently shaped maize in three-dimensions. Powder Technology, 2015; 284(10): 187–194.
[25] González-Montellano C, Fuentes J M, Ayuga-Téllez E, Ayuga F. Determination of the mechanical properties of corn grains and olives required for use in DEM simulations. Journal of Food Engineering, 2012; 111(4): 553–562.
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Published
2021-10-13
How to Cite
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. International Journal of Agricultural and Biological Engineering, 14(5), 238–246. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/4357
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Agro-product and Food Processing Systems
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