Tag Archives: DEM

1813-1822 J. Kuře, M. Linda, R. Chotěborský, B. Černilová and M. Hromasová
DEM modelling of tillage tools in sand and verification of draft forces in the soil box
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DEM modelling of tillage tools in sand and verification of draft forces in the soil box

J. Kuře¹²*, M. Linda¹, R. Chotěborský², B. Černilová¹ and M. Hromasová¹

¹Department of Electrical Engineering and Automation, Faculty of Engineering,
Czech University of Life Sciences Prague, Kamýcká 129, CZ165 21 Prague – Suchdol,
Czech Republic
²Department of Material Science and Manufacturing Technology, Faculty of
Engineering, Czech University of Life Sciences Prague, Kamýcká 129, CZ165 21
Prague – Suchdol, Czech Republic
*Correspondence: kure@tf.czu.cz

Abstract:

Soil resistance is still being important parameter during tillage. By reducing the soil resistance during processing, greater efficiency and cost reduction can be achieved. With the correct design of the shape of the tillage tools, reduction in the force required for tillage can be achieved. New tool designs must be tested in field conditions to determine the effect. Using DEM (Discrete element method) modelling, individual designs can be compared without the need for field tests. However, the accuracy of the model must first be verified on real tests. The paper deals with the creation of a mathematical model of sand, which is used for testing tillage tools in the soil box. The models are focused on tests of various shapes of wings on tillage tools. Draft forces are compared, and the correctness of the model is verified.

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842–851 P. Hnízdil, R. Chotěborský and J. Kuře
Utilization of fused deposition method 3D printing for evaluation of discrete element method simulations
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Utilization of fused deposition method 3D printing for evaluation of discrete element method simulations

P. Hnízdil¹, R. Chotěborský¹* and J. Kuře²

¹Department of Material Science and Manufacturing Technology, Faculty of Engineering, Czech University of Life Science Prague, Kamycka 129, CZ165 00 Prague – Suchdol, Czech Republic
²Department of Electrical Engineering and Automation, Faculty of Engineering, Czech University of Life Sciences Prague, Kamycka 129, CZ165 21 Prague – Suchdol, Czech Republic
*Correspondence: choteborsky@tf.czu.cz

Abstract:

FDM 3D printing is used for designing prototype assessment in engineering production. It is usually used to verify the functionality of kinematics mechanisms. It can also be used for innovation in agricultural production, eg. the development of new mechanisms for agriculture tools. Such a mechanism as well as the entire components is printed using FDM and they are made of plastics. This whole can be experimentally verified in a laboratory trough. The article deals with the verification of the possibilities of using FDM technology for the design of agricultural tools. The material properties, namely stress-strain, of the plastics after printing are entered into the Ansys mechanical library, and the DEM results are also imported into Ansys mechanical. Material properties of plastics for FDM technology such as PLA, PETG show that its mechanical properties limited their using for validation.

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2049-2055 J. Ivanovs and A. Lupikis
Identification of wet areas in forest using remote sensing data
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Identification of wet areas in forest using remote sensing data

J. Ivanovs* and A. Lupikis

Latvian State Forest Research Institute “Silava”, Rigas street 111, LV-2169 Salaspils, Latvia
*Correspondence: janis.ivanovs@silava.lv

Abstract:

Aim of this study is to evaluate different remote sensing indices to detect spatial distribution of wet soils using GIS based algorithms. Area of this study represents different soil types on various quaternary deposits as well as different forest types. We analyzed 25 sites with the area of 1 km2 each in central and western part of Latvia. Data about soil characteristics like thickness of peat layer and presence of reductimorphic colors in soil was collected during field surveys in 228 random points within study sites. ANOVA test for comparing means of different soil wetness classes and binary logistic regression analysis for evaluating the accuracy of different remote sensing indices to model spatial distribution of wet areas are used for analysis. Main conclusion of this study is that for different quaternary deposits and soil texture classes different algorithms for soil wetness prediction should be used. Data layers for predicting soil wetness in this study are various modifications and resolutions of digital elevation model like depressions, slope and SAGA wetness index as well as Sentinel-2 multispectral satellite imagery. Accuracy of soil wetness classification of soils on moraine, fluvial and eolian sediments exceeds 94%, whereas on the clayey sediments it is close to 80%.

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