The adaptability of discrete element method (DEM) in agricultural machine design

Kovács, Ádám; Kotrocz, Krisztian; Kerényi, György

doi:10.17676/hae.2015.27.14

Cited by 4 publications

(2 citation statements)

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“…soil [5], rock aggregates, fractured solid stones [6] different seeds [7,8], crops [9] and even buildings made of blocks [10]. The main challenge in the creation of a DEM model is that it needs calibration [11] for each material model.…”

Section: Introductionmentioning

confidence: 99%

The feasibility of modelling rocks in engineering applications with the use of discrete element method

Orosz¹,

Kismányoky²,

Rádics³

2017

HAE

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This paper represents the motivation behind modelling rocks and the technique. Several possible agricultural engineering and other applications are introduced. The need for tracing each grain makes the discrete element method (DEM) ideal for the task. There are several types of rock aggregates, which need different models and parameter sets. Grains were represented with clumps and crushed rocks were approximated with convex polyhedral particles. The behaviours of the models were tested in simulations.

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Section: Introductionmentioning

confidence: 99%

The feasibility of modelling rocks in engineering applications with the use of discrete element method

Orosz¹,

Kismányoky²,

Rádics³

2017

HAE

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“…Kemper et al investigated the iteration among grass stalk and rotation mower by DEM [5]. A special solid geometrical structure of DEM was analysed for corn stalks in quantitative and qualitative ways by Kovács et al [6]. Several possible DEM geometrical structures for modelling of fibrous agricultural materials were compared by Kovács et al [7] To calibrate a DEM model, in situ and laboratorial tests are indispensable.…”

Section: Introductionmentioning

confidence: 99%

Stochastic variatio in discrete element method (DEM) for agricultural simulations

Kovács¹,

Kerényi²

2016

HAE

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The diversity of physical and mechanical properties of agricultural materials makes them a good object for analysis, using stochastic variation during the discrete element modelling (DEM) of fibrous agricultural materials. Consequently, our study focuses on the use of coefficient of variation in agricultural DEM simulations. Laboratorial three-point bending, sideward compression and dynamic cutting tests were conducted to define the main mechanical parameters and behaviour of corn stalks. The effects of the different variations of coefficients (between 0.0 -1.0 by 0.2 increments) on the quantitative and qualitative simulation results were analysed. The results of the study clearly demonstrate that the coefficients of the variation could be advantageously utilised.

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A Discrete Element Model For Agricultural Decision Support

Kovács¹,

Rádics²,

Kerenyi³

2017

ECMS 2017 Proceedings Edited by Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, Ján

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One of the main goals of precision agriculture researches is to define a suitable decision support system (DSS) for farm management with the goal of optimizing returns on inputs while preserving resources. Therefore, our long-term objective is the development of an adequate DEM model which can be adapted in the actual decision support system (DSS) to create a new model driven decision support system (MDDS) to refine operational parameters. In this study a preliminary step of our study is discussed: the predicted role of DEM modelling in decision making and a possible numerical model for corn stalk. The consequences of the study clearly demonstrate that the discrete element method is capable to reinforce agricultural decision support systems in the future and it is worth further analysing it.

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The adaptability of discrete element method (DEM) in agricultural machine design

Cited by 4 publications

References 1 publication

The feasibility of modelling rocks in engineering applications with the use of discrete element method

The feasibility of modelling rocks in engineering applications with the use of discrete element method

Stochastic variatio in discrete element method (DEM) for agricultural simulations

A Discrete Element Model For Agricultural Decision Support

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