DESIGN AND TESTING OF BIONIC WINGED DEEP-LOOSENING SHOVEL FOR A STRIP TILLAGE DEEP-LOOSENING FERTILIZATION MACHINE

To address the issues of high operating resistance and insufficient soil-loosening performance encountered by winged deep-loosening shovels in strip-tillage fertilization machines, a bionic optimization design for the shovel wing was carried out based on a medium-sized winged deep-loosening shovel. A mechanical contact model between the shovel wing and soil was established to analyze the forces acting on the wing and the soil above it, as well as the soil disturbance characteristics induced by the wing. Following the principles of bionics, the head morphology of the hammerhead shark was extracted and used to derive a characteristic geometric equation, which was then applied to the bionic redesign of the shovel wing. Using discrete element simulation technology, a deep-loosening shovel-soil interaction model was constructed. Comparative experiments on wings of different shapes showed that the bionic-optimized wing reduces operating resistance and increases soil disturbance area compared with the conventional wing. Simulation results indicated that the bionic wing achieved an average soil disturbance area of 1635.63 cm² and an average operating resistance of 1143.76 N. Finally, bench validation tests were conducted, demonstrating an average actual soil disturbance area of 1648.20 cm² and an average actual operating resistance of 1102.01 N, results which fall within the allowable error range. Therefore, the bionic shovel wing meets the operational requirements.

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Publication Details

Journal
INMATEH Agricultural Engineering
Published
2025-11-24
DOI
https://doi.org/10.35633/inmateh-77-45
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

DESIGN AND TESTING OF BIONIC WINGED DEEP-LOOSENING SHOVEL FOR A STRIP TILLAGE DEEP-LOOSENING FERTILIZATION MACHINE

Sutie Xu, Guixiang Tao, Shujuan Yi, Song Wang et al.
INMATEH Agricultural Engineering
Soil Mechanics and Vehicle Dynamics
article

DESIGN AND TESTING OF BIONIC WINGED DEEP-LOOSENING SHOVEL FOR A STRIP TILLAGE DEEP-LOOSENING FERTILIZATION MACHINE

Sutie Xu, Guixiang Tao, Shujuan Yi, Song Wang, Yu-hang SAN
article en

Abstract

To address the issues of high operating resistance and insufficient soil-loosening performance encountered by winged deep-loosening shovels in strip-tillage fertilization machines, a bionic optimization design for the shovel wing was carried out based on a medium-sized winged deep-loosening shovel. A mechanical contact model between the shovel wing and soil was established to analyze the forces acting on the wing and the soil above it, as well as the soil disturbance characteristics induced by the wing. Following the principles of bionics, the head morphology of the hammerhead shark was extracted and used to derive a characteristic geometric equation, which was then applied to the bionic redesign of the shovel wing. Using discrete element simulation technology, a deep-loosening shovel-soil interaction model was constructed. Comparative experiments on wings of different shapes showed that the bionic-optimized wing reduces operating resistance and increases soil disturbance area compared with the conventional wing. Simulation results indicated that the bionic wing achieved an average soil disturbance area of 1635.63 cm² and an average operating resistance of 1143.76 N. Finally, bench validation tests were conducted, demonstrating an average actual soil disturbance area of 1648.20 cm² and an average actual operating resistance of 1102.01 N, results which fall within the allowable error range. Therefore, the bionic shovel wing meets the operational requirements.

INMATEH Agricultural Engineering
Heilongjiang Bayi Agricultural University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 63%
Soil Mechanics and Vehicle Dynamics
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DESIGN AND TESTING OF BIONIC WINGED DEEP-LOOSENING SHOVEL FOR A STRIP TILLAGE DEEP-LOOSENING FERTILIZATION MACHINE — Sutie Xu, Guixiang Tao, et al. · INMATEH Agricultural Engineering (2025) | TGRS Research Map | TGRS