Prediction model for non-inversion soil tillage implemented on discrete element method

•Water content and dry bulk density as modifier of clay soil mechanical properties.•Statistical equations and discrete element model reproduce soil–tool interaction.•Soil physical condition and tool geometry modify the draft forces requirement.•Soil behavior and tool draft force agree with result fr...

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Veröffentlicht in:Computers and electronics in agriculture 2014-08, Vol.106, p.120-127
Hauptverfasser: Bravo, Elvis López, Tijskens, Engelbert, Suárez, Miguel Herrera, Gonzalez Cueto, Omar, Ramon, Herman
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container_end_page 127
container_issue
container_start_page 120
container_title Computers and electronics in agriculture
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creator Bravo, Elvis López
Tijskens, Engelbert
Suárez, Miguel Herrera
Gonzalez Cueto, Omar
Ramon, Herman
description •Water content and dry bulk density as modifier of clay soil mechanical properties.•Statistical equations and discrete element model reproduce soil–tool interaction.•Soil physical condition and tool geometry modify the draft forces requirement.•Soil behavior and tool draft force agree with result from soil-bin experiment. In the present study the discrete element method is used for predicting forces reactions and soil behavior during non-inversion tillage. The numerical model at particle level works with a force system integrated by normal, shear, cohesion and friction forces. Macro parameters are defined as the soil mechanical properties obtained by soil mechanical tests. The behavior of soil–soil and soil–metal interface at different dry bulk densities and gravimetric water contents were determined by modified direct shear box and triaxial compression tests. A set of statistical regression equations feasible to estimate the macro values of Young’s modulus, shear strength, soil friction and soil cohesion were obtained. The relationship between macro and micro behavior of soil friction was investigated by means of the simulation of direct shear tests. The discrete soil model was used to simulate soil tillage at conditions called hard-dry, soft-wet and friable state. To calibrate the model, a soil-bin was filled with the soil previously characterized and equipped with a tool similar to the one used for the simulation. A National Instrument Data Logger system was configured aimed at measuring vertical and horizontal reaction forces. The comparison between draft forces from simulation and soil-bin tests showed a small under-predicted behavior of the model for loose soil with high moisture; this behavior was fixed toward compacted and dry soil conditions. Para-plough and moldboard were the tools used for non-inversion tillage simulation at different physical states of the soil. The result shows the pattern of movement and force distribution related with the geometry of the tool.
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In the present study the discrete element method is used for predicting forces reactions and soil behavior during non-inversion tillage. The numerical model at particle level works with a force system integrated by normal, shear, cohesion and friction forces. Macro parameters are defined as the soil mechanical properties obtained by soil mechanical tests. The behavior of soil–soil and soil–metal interface at different dry bulk densities and gravimetric water contents were determined by modified direct shear box and triaxial compression tests. A set of statistical regression equations feasible to estimate the macro values of Young’s modulus, shear strength, soil friction and soil cohesion were obtained. The relationship between macro and micro behavior of soil friction was investigated by means of the simulation of direct shear tests. The discrete soil model was used to simulate soil tillage at conditions called hard-dry, soft-wet and friable state. To calibrate the model, a soil-bin was filled with the soil previously characterized and equipped with a tool similar to the one used for the simulation. A National Instrument Data Logger system was configured aimed at measuring vertical and horizontal reaction forces. The comparison between draft forces from simulation and soil-bin tests showed a small under-predicted behavior of the model for loose soil with high moisture; this behavior was fixed toward compacted and dry soil conditions. Para-plough and moldboard were the tools used for non-inversion tillage simulation at different physical states of the soil. 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Soil tillage</subject><subject>Draft force</subject><subject>Drying</subject><subject>Friction</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>Mathematical models</subject><subject>Modeling</subject><subject>Shear</subject><subject>Soil (material)</subject><subject>Soil behavior</subject><subject>Soil tillage</subject><subject>Tillage</subject><subject>Tillage. Tending. 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Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Cohesion</topic><topic>Computer simulation</topic><topic>Cropping systems. Cultivation. Soil tillage</topic><topic>Draft force</topic><topic>Drying</topic><topic>Friction</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agronomy. Plant production</topic><topic>Mathematical models</topic><topic>Modeling</topic><topic>Shear</topic><topic>Soil (material)</topic><topic>Soil behavior</topic><topic>Soil tillage</topic><topic>Tillage</topic><topic>Tillage. Tending. 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source Elsevier ScienceDirect Journals
subjects Agronomy. Soil science and plant productions
Biological and medical sciences
Cohesion
Computer simulation
Cropping systems. Cultivation. Soil tillage
Draft force
Drying
Friction
Fundamental and applied biological sciences. Psychology
General agronomy. Plant production
Mathematical models
Modeling
Shear
Soil (material)
Soil behavior
Soil tillage
Tillage
Tillage. Tending. Growth control
Young’s modulus
title Prediction model for non-inversion soil tillage implemented on discrete element method
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