https://doi.org/10.4081/jae.2023.1504
A novel method for measurement of the angle of repose of granular seeds in discrete element methods
Published: 1 August 2023
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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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Discrete element numerical simulations can help researchers find potential problems in the design phase, shortening the development cycle and reducing costs. In the field of agricultural engineering, more and more researchers are using discrete element methods (DEM) to assist in designing and optimising equipment parameters. Model parameters calibration is a prerequisite for discrete element numerical calculations, and the angle of repose (AoR) is commonly used to calibrate the parameters. However, the measurement of AoR in DEM was not seriously considered in industrial or academic fields. In practice, AoR is measured manually, using 2D digital image processing or using a 3D scan. However, reliable and consistent measurements of AoR in DEM are rarely mentioned. This study suggests an accurate and consistent way to measure AoR in DEM using a novel method to read particle coordinate information directly from the data file; then, the AoR is calculated by linearly fitting the centre coordinates of the outermost particles. Influences of input variables on AoR acquisition are discussed through several examples using customised templates with known angles. Then a comparative study of the accuracy of the measurement of AoR in DEM and the reliability of the parameter calibration results by the manual measurement, 2D digital image processing, and algorithm proposed in this paper was conducted. In case studies with four seed materials, this method prevented the subjective selection of AoR, improved the identification accuracy, and increased the precision and accuracy of DEM calibration. In addition, the time consumption for obtaining AoR using the novel method for measurement is much less than that of 2D.
Cao X., Li Z., Li H., Wang X., Ma X. 2021. Measurement and calibration of the parameters for discrete element method modeling of rapeseed. Processes 9:605.
DOI: https://doi.org/10.3390/pr9040605
Cheng N., Zhao K. 2017. Difference between static and dynamic angle of repose of uniform sediment grains. Int. J. Sediment Res. 32:149-54.
DOI: https://doi.org/10.1016/j.ijsrc.2016.09.001
Cundall P.A., Strack O.D.L. 1979. A discrete numerical model for granular assemblies. Géotechnique 29:47-65.
DOI: https://doi.org/10.1680/geot.1979.29.1.47
Ding L., Yang L., Zhang D., Cui T., Gao X. 2019. Design and experiment of seed plate of maize air suction seed metering device based on DEM-CFD. Trans. Chinese Soc. Agric. Machine. 50:50-60.
Frączek J., Złobecki A., Zemanek J. 2007. Assessment of angle of repose of granular plant material using computer image analysis. J. Food Engine. 83:17-22.
DOI: https://doi.org/10.1016/j.jfoodeng.2006.11.028
Gao X., Cui T., Zhou Z., Yu Y., Xu Y., Zhang D. 2021. DEM study of particle motion in novel high-speed seed metering device. Adv. Powder Technol. 32:1438-49.
DOI: https://doi.org/10.1016/j.apt.2021.03.002
Geldart D., Abdullah E.C., Hassanpour A., Nwoke L.C., Wouters I. 2006. Characterization of powder flowability using measurement of angle of repose. China Partic. 4:104-7.
DOI: https://doi.org/10.1016/S1672-2515(07)60247-4
Han Y., Jia F., Tang Y., Liu Y., Zhang Q. 2014. Influence of granular coefficient of rolling friction on accumulation characteristics. Acta Phys. Sinica 63:173-9.
DOI: https://doi.org/10.7498/aps.63.174501
Hertz H. 1881. On the contact of elastic solids. J. Reine Angew. Math. 92:156-71.
DOI: https://doi.org/10.1515/9783112342404-004
Hu H., Zhou Z., Wu W., Yang W., Li T., Chang C. 2021. Distribution characteristics and parameter optimisation of an air-assisted centralised seed-metering device for rapeseed using a CFD-DEM coupled simulation. Biosyst. Engine. 208:246-59.
DOI: https://doi.org/10.1016/j.biosystemseng.2021.06.005
Jia H., Chen Y., Zhao J., Wang X., Guo M., Zhuang J. 2018. Design and experiment of pneumatic-mechanical combined precision metering device for soybean. Trans. Chinese Soc. Agric. Machin. 49:75-86.
Kalman H., Portnikov D. 2021. Analyzing bulk density and void fraction: B. Effect of moisture content and compression pressure. Powder Technol. 381:285-97.
DOI: https://doi.org/10.1016/j.powtec.2020.12.019
Klanfar M., Korman T., Domitrović D., Herceg V. 2021. Testing the novel method for angle of repose measurement based on
area-weighted average slope of a triangular mesh. Powder Technol. 387:396-405.
Li C., Honeyands T., O’Dea D., Moreno-Atanasio R. 2017. The angle of repose and size segregation of iron ore granules: DEM analysis and experimental investigation. Powder Technol. 320:257-72.
DOI: https://doi.org/10.1016/j.powtec.2017.07.045
Li P., Ucgul M., Lee S., Saunders C. 2020. A new approach for the automatic measurement of the angle of repose of granular materials with maximal least square using digital image processing. Comput. Electron. Agric. 172:105356.
DOI: https://doi.org/10.1016/j.compag.2020.105356
Liu C., Wei D., Du X., Jiang M., Song J., Zhang F. 2019. Design and test of wide seedling strip wheat precision hook-hole type seed-metering device. Trans. Chinese Soc. Agric. Machine. 50:75-84.
Liu C., Wei D., Song J., Li Y., Du X., Zhang F. 2018. Systematic study on boundary parameters of discrete element simulation of granular fertilizer. Trans. Chinese Soc. Agric. Machine. 50:82-9.
Lu F., Ma X., Qi L., Tan S., Tan Y., Jiang L., Sun G. 2016. Parameter optimization and experiment of vibration seed-uniforming device for hybrid rice based on discrete element method. Trans. Chinese Soc. Agric. Engine. 32:17-25.
Marigo M., Stitt E.H. 2015. Discrete element method (DEM) for industrial applications: comments on calibration and validation for the modelling of cylindrical pellets. Kona 32:236-52.
DOI: https://doi.org/10.14356/kona.2015016
Mindlin R.D. 1949. Compliance of elastic bodies in contact. J. Appl. Mechan.-Transa. ASME 16:259-68.
DOI: https://doi.org/10.1115/1.4009973
Mindlin R.D., Deresiewicz H. 1953. Elastic spheres in contact under varying oblique forces. ASME September:327-44.
DOI: https://doi.org/10.1115/1.4010702
Mousaviraad M., Tekeste M.Z. 2020. Effect of grain moisture content on physical, mechanical, and bulk dynamic behaviour of maize. Biosyst. Engine. 195:186-97.
DOI: https://doi.org/10.1016/j.biosystemseng.2020.04.012
Qi L., Chen Y., Sadek M. 2019. Simulations of soil flow properties using the discrete element method (DEM). Comput. Electron. Agric. 157:254-60.
DOI: https://doi.org/10.1016/j.compag.2018.12.052
Rackl M., Grötsch F.E., Rusch M., Fottner J. 2017. Qualitative and quantitative assessment of 3D-scanned bulk solid heap data. Powder Technol. 321:105-18.
DOI: https://doi.org/10.1016/j.powtec.2017.08.009
Roessler T., Katterfeld A. 2018. Scaling of the angle of repose test and its influence on the calibration of DEM parameters using upscaled particles. Powder Technol. 330:58-66.
DOI: https://doi.org/10.1016/j.powtec.2018.01.044
Sakaguchi H., Ozaki E., Igarashi T. 1993. Plugging of the flow of granular materials during the discharge from a silo. Int. J. Modern Phys. B 7:1949.
DOI: https://doi.org/10.1142/S0217979293002705
Sun K., Yu J., Liang L., Wang Y., Yan D., Zhou L. 2022. A DEMbased general modelling method and experimental verification for wheat seeds. Powder Technol. 401:117353.
DOI: https://doi.org/10.1016/j.powtec.2022.117353
Tan Y., Fottner J., Kessler S. 2020. An efficient and reliable method for determining the angle of repose of biomass by using 3D scan. Biomass Bioener. 132:105434.
DOI: https://doi.org/10.1016/j.biombioe.2019.105434
Wang Y., Li H., Hu H., He J., Wang Q., Lu C. 2022. A noncontact self-suction wheat shooting device for sustainable agriculture: a preliminary research. Comput. Electron. Agricult. 197:106927.
DOI: https://doi.org/10.1016/j.compag.2022.106927
Wang Y., Zhang D., Yang L., Cui T., Jing H., Zhong X. 2020. Modeling the interaction of soil and a vibrating subsoiler using the discrete element method. Comput. Electron. Agric. 174:105518.
DOI: https://doi.org/10.1016/j.compag.2020.105518
Wójcik A., Klapa P., Mitka B., Piech I. 2019. The use of TLS and UAV methods for measurement of the repose angle of granular materials in terrain conditions. Measurement 146:780-91.
DOI: https://doi.org/10.1016/j.measurement.2019.07.015
Wu M.R., Schott D.L., Lodewijks G. 2011. Physical properties of solid biomass. Biomass Bioener. 35:2093-105.
DOI: https://doi.org/10.1016/j.biombioe.2011.02.020
Zhu Q., Wu G., Chen L., Zhao C., Meng Z. 2018. Influences of structure parameters of straight flute wheel on fertilizing performance of fertilizer apparatus. Trans. Chinese Soc. Agric. Engine. 34:12-20.
How to Cite
Du, X. . (2023) “A novel method for measurement of the angle of repose of granular seeds in discrete element methods”, Journal of Agricultural Engineering, 54(2). doi: 10.4081/jae.2023.1504.
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