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of the European Council for Modelling and Simulation

Title:	*Modeling Of Corn Ears By Discrete Element Method (DEM)*
Authors:	Adam Kovacs, Gyoergy Kerenyi
Published in:	(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23^rd – May 26^th, 2017
Citation format:	Adam Kovacs, Gyoergy Kerenyi (2017). Modeling Of Corn Ears By Discrete Element Method (DEM), ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0355
DOI:	https://doi.org/10.7148/2017-0355
Abstract:	One of the main aims of today’s agriculture is to reduce the losses of different agricultural processes. With more than 1000 billion tons of production annually, corn is one of the most essential agricultural crops in the world so our study focuses on the modeling of corn ears by discrete element method (DEM) from the point of view of losses during corn harvesting. To describe the physical and mechanical properties of corn ears and its connections to the corn stalk, laboratorial and in-situ tests and observations were conducted. During an iteration process the mechanical model of the corn ear and the connection between the corn ear and the corn stalk were validated. There has been a good match between the numerical results and the experimental data. The simulation results clearly demonstrate that the discrete element model of corn ear is capable of modeling losses during corn harvesting in the future.
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