Digital Library of the European Council for Modelling and Simulation

Title:	Coupled DEM-FEM Simulation On Maize Harvesting
Authors:	Adam Kovacs, Peter T. Zwierczyk
Published in:	(2018). ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen European Council for Modeling and Simulation. doi: 10.7148/2018-0005 ISSN: 2522-2422 (ONLINE) ISSN: 2522-2414 (PRINT) ISSN: 2522-2430 (CD-ROM) 32nd European Conference on Modelling and Simulation, Wilhelmshaven, Germany, May 22^nd – May 26^5h, 2018
Citation format:	Adam Kovacs, Peter T. Zwierczyk (2018). Coupled DEM-FEM Simulation On Maize Harvesting, ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen European Council for Modeling and Simulation. doi: 10.7148/2018-0405
DOI:	https://doi.org/10.7148/2018-0405
Abstract:	One of the main objectives of today’s agriculture is to develop agricultural machineries that guarantee more and better quality agricultural products. However, due to the seasonal characteristics of agricultural products in-situ tests of constructions are limited in time and often prove to be very expensive. With more than 1000 billion tons of annual production, corn is one of the most essential agricultural crops in the world. Consequently, our study focuses on the modeling of corn harvesting through coupled discrete element and finite element method (DEM-FEM) to provide more input for machine development. With the use of a complex DEM model of maize and the CAD model of a common corn header unit a large-scale simulation was carried out. The main phenomena were directly analyzed by quantitative and image-based qualitative evaluation methods. For further analysis the stalk rollers of the corn header unit were also investigated by finite element analysis. The simulation results clearly demonstrate that the discrete element model of maize is capable of modeling the crucial phenomenon during corn harvesting in the future.
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