https://doi.org/10.4081/jae.2024.1640
Calibration and experiments of discrete element flexible model parameters for kiwifruit stalk
Published: 2 December 2024
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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A method combining experimental and simulation optimization was used to calibrate parameters to enhance the accuracy of discrete element model parameters during kiwifruit stem separation. First, physical experiments were conducted to determine the intrinsic and contact parameters of kiwifruit stalk. Second, the mechanical parameters of the kiwifruit stalks were determined using three-point bending and shear tests. On this basis, simulation tests were conducted on kiwifruit stalks by combining the Hertz-Mindlin model with a bonding model, and the optimal combination of bonding parameters was confirmed using the bending strength and maximum shear force. Finally, a discrete element model of the kiwifruit was built with the determined bonding parameters and simulated, and the reliability of the model was verified through mechanical tests. The results showed that the density was 867.5 kg/m3, Poisson's ratio was 0.26, the modulus of elasticity was 3.25 × 108 Pa, the recovery coefficient between the fruit stalks and steel parts was 0.365, and the average values of the static and dynamic friction coefficients between the kiwifruit stalks and steel parts were 0.268 and 0.152, respectively. The kiwifruit stem bonding parameters were normal stiffness per unit area kn=7.201×1011 N/m3, shear stiffness per unit area kt=2.379×1011 N/m3, critical normal stress σmax=5.937×108 Pa, critical shear stress tmax = 2.354×109 Pa, and bonded disc radius Rj=0.164 mm. Compared with the results of the mechanical tests, the relative errors of the bending strength and maximum shear of the discrete element model were 2.13% and 2.84%, respectively. The results showed that the discrete element model improves the simulation of the bending and shearing processes of kiwifruit stalks and is capable of characterizing the physical properties of kiwifruit stalks. The results of this study provide a theoretical foundation for the optimal design of end effectors.
Chen, Y., Sadek, M.A., Guzman, L. Lague, C., Landry, H. 2014. Simulation of tensile tests of hemp fibre using discrete element method. CIGR J. 16:126-135.
Ding, X.T., Li, K., Hao, W., Yang, Q.C., Yan, F.X., Cui, Y.J. 2023. Calibration of simulation parameters of camellia oleifera seeds based on RSM and GA-BP-GA optimization. Trans. Chinese Soc. Agric Mach. 54:139-150.
Ding, X.T, Wang B.B, He, Z, Yang, Q.C., Cui, Y.J. 2023 Fast and precise DEM parameter calibration for Cucurbita ficifolia seeds. Biosyst. Eng. 236:258-276.
DOI: https://doi.org/10.1016/j.biosystemseng.2023.11.004
Fang, M., Yu, Z., Zhang, W., Cao, J., Liu, W., 2022. Friction coefficient calibration of corn stalk particle mixtures using Plackett-Burman design and response surface methodology. Powder Technol. 396:731-742.
DOI: https://doi.org/10.1016/j.powtec.2021.10.040
He, Z., Ma L., Wang Y.C., Wei, Y.Z., Ding, X.T., Li, K., Cui, Y.J. 2022. Double-arm cooperation and implementing for harvesting kiwifruit. Agriculture (Basel) 12:1763
DOI: https://doi.org/10.3390/agriculture12111763
Horabik, J., Molenda, M., 2016. Parameters and contact models for DEM simulations of agricultural granular materials: A review. Biosyst. Eng. 147:206-225.
DOI: https://doi.org/10.1016/j.biosystemseng.2016.02.017
Jiang, P., Li, Y., Li, J., Meng, H., Peng, X., Zhang, B., et al. 2021. Experimental research on the bending and fracture characteristics of cotton stalk. Trans. ASABE 64:1771-1779.
DOI: https://doi.org/10.13031/trans.14589
Kafashan, J., Wiacek, J., Ramon, H., Mouazen, A.M., 2021. Modelling and simulation of fruit drop tests by discrete element method. Biosyst. Eng. 212:228-240.
DOI: https://doi.org/10.1016/j.biosystemseng.2021.08.007
Liao, Y.T, Liao, Q.X, Zhou Y., Wang, Z.T., Jiang, Y.J., Liang F. 2020. Parameters calibration of discrete element model of fodderrape crop harvest in bolting stage. Trans. Chin. Soc. Agric. Machin. 51:73-82.
Li, J., Lu, Y., Peng, X., Jiang, P., Zhang, B., Zhang, L., et al. 2023. Discrete element method for simulation and calibration of cotton stalk contact parameters. Bioresources 18:400-416.
DOI: https://doi.org/10.15376/biores.18.1.400-416
Liu, Y., Zhao, J., Yin, B., Ma, Z., Hao, J., Yang, X., et al. 2022. Discrete element modelling of the yam root-soil complex and its verification. Biosyst. Eng. 220:55-72.
DOI: https://doi.org/10.1016/j.biosystemseng.2022.05.002
Li, J., Liu, X., Zou, L., Yuan, J., Du, S., 2020. Analysis of the interaction between end-effectors, soil and asparagus during a harvesting process based on discrete element method. Biosyst. Eng. 196:127-144.
DOI: https://doi.org/10.1016/j.biosystemseng.2020.05.018
Leblicq, T., Smeets, B., Ramon, H., Saeys, W., 2016a. A discrete element approach for modelling the compression of crop stems. Comput. Electron. Agric. 123:80-88.
DOI: https://doi.org/10.1016/j.compag.2016.02.018
Leblicq, T., Smeets, B., Vanmaercke, S., Ramon, H., Saeys, W., 2016b. A discrete element approach for modelling bendable crop stems. Comput. Electron. Agric. 124:141-149.
DOI: https://doi.org/10.1016/j.compag.2016.03.022
Mu, L.T., Liu, H.Z., Cui, Y.J. 2018. Mechanized technologies for scaffolding cultivation in the kiwifruit industry: a review. Inf. Process. Agric. 5:401-410.
DOI: https://doi.org/10.1016/j.inpa.2018.07.005
Ma, Y.H., Song, C.D., Xuan, C.Z. 2020. Parameters calibration of discrete element model for alfalfa straw compression simulation. Trans. Chin. Soc. Agric. Eng. 36:22-30.
Suo, R., Gao, F.F., Zhou Z.X., Fu, L.S., Song, Z.Z., Dhupia, J., Cui, Y.J. 2020. Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking. Comput. Electron. Agric. 182:106052.
DOI: https://doi.org/10.1016/j.compag.2021.106052
Schramm, M., Tekeste, M.Z., 2022. Wheat straw direct shear simulation using discrete element method of fibrous bonded model. Biosyst. Eng. 213:1-12.
DOI: https://doi.org/10.1016/j.biosystemseng.2021.10.010
Sadrmanesh V., Chen, Y. 2018 Simulation of tensile behavior of plant fibers using the discrete element method (DEM). Compos. Part A-Appl. S. 114:196-203.
DOI: https://doi.org/10.1016/j.compositesa.2018.08.023
Sadek, M.A., Chen, Y., Lagu,C. 2011. Characterization of the shear properties of hemp fiber and core using the discrete element method. Trans. ASABE 54:2279-2285.
DOI: https://doi.org/10.13031/2013.40641
Ucgul, M., Saunders, C., Fielke, J.M., 2017. Discrete element modelling of top soil burial using a full scale mouldboard plough under field conditions. Biosyst. Eng. 160:140-153.
DOI: https://doi.org/10.1016/j.biosystemseng.2017.06.008
Yuan, J. 2020. Research progress analysis of robotics selective harvesting technologies. Trans. Chin. Soc. Agric. Machin. 51:1-17.
Zeng, Z.W., Ma, X., Cao, X.L., Li, R.H., Wang, X.C. 2021. Critical review of applications of discrete element method in agricultural engineering. Trans. Chin. Soc. Agric. Machin. 52:1-20.
Zhang, S.L., Zhao, H.B., Wang X.Z., Dong J.X., Zhao, P.F., Yang F.F., et al. 2023. Discrete element modeling and shear properties of the maize stubble-soil complex. Comput. Electron. Agric. 204:107519.
DOI: https://doi.org/10.1016/j.compag.2022.107519
Zhang, T., Zhao, M., Liu, F., Tian, H., Wulan, T., Yue, Y., Li, D., 2020. A discrete element method model of corn stalk and its mechanical characteristic parameters. Bioresources 15:9337-9350.
DOI: https://doi.org/10.15376/biores.15.4.9337-9350
Zhang, B., Xie, Y., Zhou, J., Wang, K., Zhang, Z., 2020. State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review. Comput. Electron. Agric. 177:105694.
DOI: https://doi.org/10.1016/j.compag.2020.105694
Zhao, W., Chen, M., Xie, J., Cao, S., Wu, A., Wang, Z., 2023. Discrete element modeling and physical experiment research on the biomechanical properties of cotton stalk. Comput. Electron. Agric. 204:107502.
DOI: https://doi.org/10.1016/j.compag.2022.107502
Wang, Y., Zhang, Y.T., Yang, Y., Zhao, H.M., Yang, C.H., He, Y., et al. 2020. Discrete element modelling of citrus fruit stalks and its verification. Biosyst. Eng. 200:400-4.
DOI: https://doi.org/10.1016/j.biosystemseng.2020.10.020
Williams, H., Jones, M.H., Nejati, M., Seabright, M.J., Bell, J., Penhall, N.D., et al. 2019. Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic arms. Biosyst. Eng. 181:140-156.
DOI: https://doi.org/10.1016/j.biosystemseng.2019.03.007
Williams, H., Nejati, M., Hussein, S., Penhall, N., Lim, J.Y., Jones, M.H., et al. 2020. Autonomous pollination of individual kiwifruit flowers: Toward a robotic kiwifruit pollinator. J. Field Robot 37:246-262.
DOI: https://doi.org/10.1002/rob.21861
Wang, J., Xu, C., Xu, W., Fu, Z., Wang, Q., Tang, H., 2022. Discrete element method simulation of rice grain motion during discharge with an auger operated at various inclinations. Biosyst. Eng. 223:97-115.
DOI: https://doi.org/10.1016/j.biosystemseng.2022.08.020
Wang, X., Li, P., He, J., Wei, W., Huang, Y. 2021. Discrete element simulations and experiments of soil-winged subsoiler interaction. Int. J. Agric. Biol. Eng. 14:50-62.
DOI: https://doi.org/10.25165/j.ijabe.20211401.5447
Wu, K., Song, Y. 2022. Research progress analysis of crop stalk cutting theory and method. Trans. Chin. Soc. Agric. Machin. 53:1-20.
How to Cite
He, Z. (2024) “Calibration and experiments of discrete element flexible model parameters for kiwifruit stalk”, Journal of Agricultural Engineering, 55(4). doi: 10.4081/jae.2024.1640.
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