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Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods

This report analyzes the problem of complex soil movement patterns under the action of coupled forces, such as tension and shear, in agricultural processes and aims to improve the accuracy of contact parameters used in discrete element simulation studies of rototiller-soil interactions. This study f...

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Autores principales: Zhang, Xiongye, Zhang, Lixin, Hu, Xue, Wang, Huan, Shi, Xuebin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082764/
https://www.ncbi.nlm.nih.gov/pubmed/37031261
http://dx.doi.org/10.1038/s41598-023-32881-1
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author Zhang, Xiongye
Zhang, Lixin
Hu, Xue
Wang, Huan
Shi, Xuebin
author_facet Zhang, Xiongye
Zhang, Lixin
Hu, Xue
Wang, Huan
Shi, Xuebin
author_sort Zhang, Xiongye
collection PubMed
description This report analyzes the problem of complex soil movement patterns under the action of coupled forces, such as tension and shear, in agricultural processes and aims to improve the accuracy of contact parameters used in discrete element simulation studies of rototiller-soil interactions. This study focuses on the soil of Shihezi cotton field in the 8th division of Xinjiang and investigates the rotating tiller roller as a soil-touching component of tillage machinery. A combination of simulations and physical testing is used. We perform angle of repose tests and use edge detection, fitting, and other image processing methods to automatically, quickly, and accurately detect the soil accumulation and angle calibration of the contact parameters with soil particles. Additionally, soil slip tests are conducted to calibrate the contact parameters between the soil and the rotary blades. Optimization is achieved based on orthogonal simulations and the Box-Behnken response surface method using physically measured values as the target. A regression model of the stacking angle and rolling friction angle is established to determine the optimal combination of simulation contact parameters: between soil and soil, the recovery coefficient is 0.402, static friction coefficient is 0.621, and rolling friction coefficient is 0.078; between soil contact parts and soil, the recovery coefficient is 0.508, static friction coefficient is 0.401, and rolling friction coefficient is 0.2. Furthermore, the calibration parameters are selected as contact parameters for the discrete element simulation. By combining the above two simulation methods to analyze and compare the simulation process of cutting soil from rototiller roller parts to rototiller single blade parts, we obtained the changes in energy, cutting resistance, and soil particle movement at different depths of the soil cutting process. Finally, the average cutting resistance was used as an index for validation in the field tests. The measured value is 0.96 kN and the error of the discrete element simulation is 13%. This demonstrates the validity of the calibrated contact parameters and the accuracy of the simulation, which can provide a theoretical reference and technical support for the study of the interaction mechanisms between of tillage equipment parts and soil, as well as the design and optimization of these interactions in the future.
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spelling pubmed-100827642023-04-10 Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods Zhang, Xiongye Zhang, Lixin Hu, Xue Wang, Huan Shi, Xuebin Sci Rep Article This report analyzes the problem of complex soil movement patterns under the action of coupled forces, such as tension and shear, in agricultural processes and aims to improve the accuracy of contact parameters used in discrete element simulation studies of rototiller-soil interactions. This study focuses on the soil of Shihezi cotton field in the 8th division of Xinjiang and investigates the rotating tiller roller as a soil-touching component of tillage machinery. A combination of simulations and physical testing is used. We perform angle of repose tests and use edge detection, fitting, and other image processing methods to automatically, quickly, and accurately detect the soil accumulation and angle calibration of the contact parameters with soil particles. Additionally, soil slip tests are conducted to calibrate the contact parameters between the soil and the rotary blades. Optimization is achieved based on orthogonal simulations and the Box-Behnken response surface method using physically measured values as the target. A regression model of the stacking angle and rolling friction angle is established to determine the optimal combination of simulation contact parameters: between soil and soil, the recovery coefficient is 0.402, static friction coefficient is 0.621, and rolling friction coefficient is 0.078; between soil contact parts and soil, the recovery coefficient is 0.508, static friction coefficient is 0.401, and rolling friction coefficient is 0.2. Furthermore, the calibration parameters are selected as contact parameters for the discrete element simulation. By combining the above two simulation methods to analyze and compare the simulation process of cutting soil from rototiller roller parts to rototiller single blade parts, we obtained the changes in energy, cutting resistance, and soil particle movement at different depths of the soil cutting process. Finally, the average cutting resistance was used as an index for validation in the field tests. The measured value is 0.96 kN and the error of the discrete element simulation is 13%. This demonstrates the validity of the calibrated contact parameters and the accuracy of the simulation, which can provide a theoretical reference and technical support for the study of the interaction mechanisms between of tillage equipment parts and soil, as well as the design and optimization of these interactions in the future. Nature Publishing Group UK 2023-04-08 /pmc/articles/PMC10082764/ /pubmed/37031261 http://dx.doi.org/10.1038/s41598-023-32881-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Xiongye
Zhang, Lixin
Hu, Xue
Wang, Huan
Shi, Xuebin
Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
title Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
title_full Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
title_fullStr Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
title_full_unstemmed Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
title_short Calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
title_sort calibrating contact parameters of typical rotary tillage components cutting soil based on different simulation methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082764/
https://www.ncbi.nlm.nih.gov/pubmed/37031261
http://dx.doi.org/10.1038/s41598-023-32881-1
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