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Calibration of discrete element model parameters: soybeans

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Abstract

Discrete element method (DEM) simulations are broadly used to get an insight of flow characteristics of granular materials in complex particulate systems. DEM input parameters for a model are the critical prerequisite for an efficient simulation. Thus, the present investigation aims to determine DEM input parameters for Hertz–Mindlin model using soybeans as a granular material. To achieve this aim, widely acceptable calibration approach was used having standard box-type apparatus. Further, qualitative and quantitative findings such as particle profile, height of kernels retaining the acrylic wall, and angle of repose of experiments and numerical simulations were compared to get the parameters. The calibrated set of DEM input parameters includes the following (a) material properties: particle geometric mean diameter (6.24 mm); spherical shape; particle density (\(1220~\hbox {kg m}^{-3}\)), and (b) interaction parameters such as particle–particle: coefficient of restitution (0.17); coefficient of static friction (0.26); coefficient of rolling friction (0.08), and particle–wall: coefficient of restitution (0.35); coefficient of static friction (0.30); coefficient of rolling friction (0.08). The results may adequately be used to simulate particle scale mechanics (grain commingling, flow/motion, forces, etc) of soybeans in post-harvest machinery and devices.

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Acknowledgements

The authors would like to acknowledge Prof. T. K. Goswami, Agricultural and Food Engineering Department, IIT Kharagpur, India for providing his invaluable support in conducting this study. The opinions expressed in this article do by no means reflect the official opinion of IIT Kharagpur and Indian Council of Agricultural Research or their representatives. There is no conflict of interest among authors.

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Correspondence to Bhupendra M Ghodki.

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Ghodki, B.M., Patel, M., Namdeo, R. et al. Calibration of discrete element model parameters: soybeans. Comp. Part. Mech. 6, 3–10 (2019). https://doi.org/10.1007/s40571-018-0194-7

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  • DOI: https://doi.org/10.1007/s40571-018-0194-7

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