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Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics

High wear rates during the tillage process often result in significant financial losses and wasted farming seasons. In this paper, a bionic design was used to reduce tillage wear. Inspired by wear-resistant animals with ribbed structures, the bionic ribbed sweep (BRS) was designed by combining a rib...

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Autores principales: Wang, Shuo, Liu, Xuanting, Tong, Tianjian, Xu, Zihe, Ma, Yunhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204434/
https://www.ncbi.nlm.nih.gov/pubmed/37218787
http://dx.doi.org/10.3390/biomimetics8020201
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author Wang, Shuo
Liu, Xuanting
Tong, Tianjian
Xu, Zihe
Ma, Yunhai
author_facet Wang, Shuo
Liu, Xuanting
Tong, Tianjian
Xu, Zihe
Ma, Yunhai
author_sort Wang, Shuo
collection PubMed
description High wear rates during the tillage process often result in significant financial losses and wasted farming seasons. In this paper, a bionic design was used to reduce tillage wear. Inspired by wear-resistant animals with ribbed structures, the bionic ribbed sweep (BRS) was designed by combining a ribbed unit with a conventional sweep (CS). BRSs with different parameters (width φ, height h, angle θ, and interval λ) were simulated and optimized using the DEM and RSM methods at a working depth of 60 mm to evaluate the magnitude and trends of three responses: tillage resistance (TR), number of contacts between the sweep and soil particles (CNSP), and Archard wear value (AW). The results showed that a protective layer could be created on the surface of the sweep with a ribbed structure to reduce abrasive wear. Analysis of variance proved that factors φ, θ, and λ had significant effects on AW, CNSP, and TR, while factor h was insignificant. An optimal solution was obtained using the desirability method, including 8.88 mm φ, 1.05 mm h, 3.01 mm λ, and 34.46° θ. Wear tests and simulations showed that wear loss could be effectively reduced at different speeds by the optimized BRS. It was found to be feasible to create a protective layer to reduce partial wear by optimizing the parameters of the ribbed unit.
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spelling pubmed-102044342023-05-24 Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics Wang, Shuo Liu, Xuanting Tong, Tianjian Xu, Zihe Ma, Yunhai Biomimetics (Basel) Article High wear rates during the tillage process often result in significant financial losses and wasted farming seasons. In this paper, a bionic design was used to reduce tillage wear. Inspired by wear-resistant animals with ribbed structures, the bionic ribbed sweep (BRS) was designed by combining a ribbed unit with a conventional sweep (CS). BRSs with different parameters (width φ, height h, angle θ, and interval λ) were simulated and optimized using the DEM and RSM methods at a working depth of 60 mm to evaluate the magnitude and trends of three responses: tillage resistance (TR), number of contacts between the sweep and soil particles (CNSP), and Archard wear value (AW). The results showed that a protective layer could be created on the surface of the sweep with a ribbed structure to reduce abrasive wear. Analysis of variance proved that factors φ, θ, and λ had significant effects on AW, CNSP, and TR, while factor h was insignificant. An optimal solution was obtained using the desirability method, including 8.88 mm φ, 1.05 mm h, 3.01 mm λ, and 34.46° θ. Wear tests and simulations showed that wear loss could be effectively reduced at different speeds by the optimized BRS. It was found to be feasible to create a protective layer to reduce partial wear by optimizing the parameters of the ribbed unit. MDPI 2023-05-13 /pmc/articles/PMC10204434/ /pubmed/37218787 http://dx.doi.org/10.3390/biomimetics8020201 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Shuo
Liu, Xuanting
Tong, Tianjian
Xu, Zihe
Ma, Yunhai
Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics
title Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics
title_full Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics
title_fullStr Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics
title_full_unstemmed Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics
title_short Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics
title_sort parameter optimization and dem simulation of bionic sweep with lower abrasive wear characteristics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204434/
https://www.ncbi.nlm.nih.gov/pubmed/37218787
http://dx.doi.org/10.3390/biomimetics8020201
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