Calibrating and testing the discrete element parameters for peanut seedling film
DOI:
https://doi.org/10.25165/ijabe.v17i5.9087Keywords:
discrete element method, peanut, post-crumbled seedling film, angle of repose, contact parameters, calibrationAbstract
This study constructed a numerical model using the discrete element software EDEM to address the current lack of calibrated contact parameters for peanut seedling membranes and the absence of precise simulation model parameters for mechanized separation. The Hysteretic Spring Contact Model (HSCM) was employed to calibrate the contact parameters of peanut seedling membranes. The angle of repose of peanut seedling membranes was determined through image processing combined with the least squares method. Through central composite design (CCD), a second-order response model linking the contact parameters to the angle of repose was established. Optimization was achieved by using the angle of repose obtained from physical tests as the objective. Secondary simulation tests were conducted with the calibrated parameters, revealing a relative error of 1.37% between the simulated and physical angles of repose. This confirmed the effectiveness of the parameters in calibrating peanut seedling membrane characteristics. The findings offer theoretical and empirical support for discrete element simulations of peanut seedling membrane separation and peanut straw pulverization processes. Keywords: discrete element method, peanut, post-crumbled seedling film, angle of repose, contact parameters, calibration DOI: 10.25165/j.ijabe.20241705.9087 Citation: Peng Q J, He X, Li G M, Yang R S, Wang X Y, Zhang C Y, et al. Calibrating and testing the discrete element parameters for peanut seedling film. Int J Agric & Biol Eng, 2024; 17(5): 65-72.References
Yu Z Y, Hu Z C, Cao M Z, Wang S Y, Zhang P, Peng B L. Design of cleaning device of tangential flow and whole-feed peanut combine harvester. Transactions of the CSAE, 2019; 35（9）: 29–37. （in Chinese）
Zheng B, Tang M, Tang W, Yu G Y, Zeng J Q. Research progress of peanut meal and peanut straw in animal feeding. China Feed, 2023; 5: 152–162. （in Chinese）
Wang Q D, Zhao J Y, Zhao L P, Zhang Z X, Dong W Z, Wang R X. Analysis of the feeding quality of peanut vine of 14 cultivars. China Feed, 2019; 07: 75–78. （in Chinese）
Yang M, Zhang Y H, Zhang C, Gu F W, Yu Z Y, Hu Z C. Design and experiment of fan-sieve combined peanut film-seedling separating device based on shredding and separating. Transactions of the CSAM, 2020; 12: 112–121. （in Chinese）
Liao Y T, Wang Z T, Liao Q X, Wang W Y, Zhou Y, Liang F. Calibration of discrete element model parameters of forage rape stalk at early pod stage. Transactions of the CSAM, 2020; 51: 236–243. （in Chinese）
Liu Y C, Zhang F W, Song X F, Wang F, Zhang F Y, Li X Z, et al. Study on mechanical properties for corn straw of double-layer bonding model based on discrete element method. Journal of Northeast Agricultural University, 2022; 53（1）: 45–54. （in Chinese）
Tian X L, Cong X, Qi J T, Guo H, Li M, Fan X H. Parameter calibration of discrete element model for corn straw - soil mixture in black soil areas. Transactions of the CSAM, 2021; 52（10）: 100–108, 242. （in Chinese）
Zhang X R, Hu X H, Liu J X, Yang Y M, Li Y. Calibration and verification of bonding parameters of banana straw simulation model based on discrete element method. Transactions of the CSAM, 2023; 54（5）: 121–130. （in Chinese）
Zhang T, Liu F, Zhao M Q, Ma Q, W W, Fan Q, et al. Determination of corn stalk contact parameters and calibration of discrete element method simulation. Journal of Northeast Agricultural University, 2018; 23（4）: 120–127. （in Chinese）
Zhao J K, Song W B, Li J J. Modeling and mechanical analysis of rice straw based on discrete element mechanical model. Chinese Journal of Soil Science, 2020; 51（5）: 1086–1093. （in Chinese）
Ma Z, Li Y M, Xu L Z. Discrete-element method simulation of agricultural particles’ motion in variable-amplitude screen box. Computers and Electronics in Agriculture, 2015; 118: 92–99.
Maraldi M, Molari L, Regazzi N, Molari G. Analysis of the parameters affecting the mechanical behaviour of straw bales under compression. Biosystems Engineering, 2017; 160: 179–193.
Leblicq T, Smeets B, Vanmaercke S, Ramon H, Saeys W. A discrete element approach for modelling bendable crop stems. Computers and Electronics in Agriculture, 2016; 124: 141–149.
Sadrmanesh V, Chen Y. Simulation of tensile behavior of plant fibers using the discrete element method （DEM）. Composites Part A: Applied Science and Manufacturing, 2018; 114: 196–203.
. Kattenstroth R, Harms H-H, Lang T. Alignment of straw to optimise the cutting process in a combine’s straw chopper. Proceedings of Land Technik AgEng, 2011: 354–357.
Wu Z Y, Xie, F P, Mei Y R, Wang X S, Liu D W, Wu B. Review on calibration of discrete element method （DEM） parameters for agricultural engineering. Agriculture Engineering and Equipment, 2021; 48: 7–18. （in Chinese）
Horabik J, Molenda M. Parameters and contact models for DEM simulations of agricultural granular materials: A review. Biosystems Engineering, 2016; 147: 206–225.
Liu P, He J, Zhang Z Q, Lu C Y, Zhang Z G, Lin H. Kinematic Characteristic Analysis and Field Test of Chopped Stalk in Straw Retention Machine Based on CFD DEM Coupling Simulation Method. Transactions of the CSAM, 2020; 51: 244–253. （in Chinese）
Niu Z Y, Kong X R, Shen B S, Li H C, Geng J, Liu J. Parameters calibration of discrete element simulation for pellet feed attrition. Transactions of the CSAM, 2022; 53（7）: 132–140. （in Chinese）
Markauskas D, Kačianauskas R. Investigation of rice grain flow by multi-sphere particle model with rolling resistance. Granular Matter, 2011; 13: 143–148.
Wang L J, Chai J, Wang H S, Wang Y S. Design and performance of a countersunk screen in a maize cleaning device. Biosystems Engineering, 2021; 209: 300–314.
. Bao Q J. Kinematic analysis and Simulation of dry peanut cleaning characteristics and screening device. Master dissertation. LiaoNing: Shengyang Agricultural University, 2018; 6. 50 p. （in Chinese）
. Yang M. Study on Separation Technology and Mechanism Optimization of Fan-Sieve Combined Peanut Residual Film-Seedling Separating Machine. Master dissertation. Beijing: Chinese Academy of Agricultural Sciences, 2021; 48p. （in Chinese）
. Hu G M. Analytical simulation of particulate systems by the discrete element method: Industrial applications of the discrete element method and introduction to EDEM software. HuBei: Wuhan University of Technology Press. 2010; 11p.
. Wang G Q, Hao W J, Wang J X. Discrete unit method and its practice on EDEM. Shanxi: Xi’an University of Technology Press. 2010; 155p.
Roessler T, Katterfeld A. DEM parameter calibration of cohesive bulk materials using a simple angle of repose test. Particuology, 2019; 45: 105–115.
Roessler T, Katterfeld A. Scaling of the angle of repose test and its influence on the calibration of DEM parameters using upscaled particles. Powder Technology, 2018; 330: 58–66.
Coetzee C J. Calibration of the discrete element method and the effect of particle shape. Powder Technology, 2016; 297: 50–70.
Combarros M, Feise H J, Zetzener H, Kwade A, et al. Segregation of particulate solids: Experiments and DEM simulations. Particuology, 2014; 12: 25–32.
Surdilovic J, Praeger U, Herold B, Truppel I, Geyer M. Impact characterization of agricultural products by fall trajectory simulation and measurement. Computers and Electronics in Agriculture, 2018; 151: 460–468.
Wu T, Huang W F, Chen X S, Ma X, Han Z Q, Pan T. Calibration of discrete element model parameters for cohesive soil considering the cohesion between particles. Journal of South China Agricultural University, 2017; 38（3）: 93–98. （in Chinese）
Liu C L, Wei D, Song J N, Li Y N, Du X, Zhang F Y. Systematic study on boundary parameters of discrete element simulation of granular fertilizer. Transactions of the CSAM, 2018; 49（9）: 82–89. （in Chinese）
Liang R Q, Chen X G, Zhang B C, Wang X Z, Kan Z, Meng H W. Calibration and test of the contact parameters for chopped cotton stems based on discrete element methon. Int J Agric & Biol Eng, 2022; 15（5）: 1–8.
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）
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