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Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles

Hongyun Wu et al · KeAi Communications Co., Ltd · 2023

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Abstract The four-track walking mining vehicle can better cope with the complex terrain of cobalt-rich crusts on the seabed. To explore the influence of different parameters on the obstacle-crossing ability of mining vehicles, this paper took a certain type of mine vehicle as an example and establish a mechanical model of the mine vehicle. Through this model, the vehicle’s traction coefficient variation could be analyzed during the obstacle-crossing process. It also reflected the relationship between the obstacle-crossing ability and the required traction coefficient. Many parameters were used for this analysis including the radius of the guide wheel radius, ground clearance of the driving wheel, the dip angle of the approaching angular and the position of centroid. The result showed that the ability to cross the obstacles requires adhesion coefficient as support. When the ratio between obstacle height and ground clearance of the guide wheel was greater than 0.7, the required adhesion coefficient increased sharply. The ability to cross obstacles will decrease, if the radius of the guide wheel increases, the height of the driving wheel increases or the dip angle of the approaching angular increases. It was most beneficial to cross the obstacle when the ratio of the distance between the center of mass and the front driving wheel to the wheelbase is between 0.45‒0.48. The results of this paper could provide reference for structural parameter design and performance research for mining vehicles.

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APA 7

al, H. W. E. (2023). Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles. https://doi.org/10.1186/s10033-023-00871-z

MLA

al, Hongyun Wu et. "Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles." 2023. https://doi.org/10.1186/s10033-023-00871-z.

Chicago

al, Hongyun Wu et. 2023. "Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles.". https://doi.org/10.1186/s10033-023-00871-z.

Harvard

al, H. W. E. 2023, Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles, KeAi Communications Co, Ltd, available at: https://doi.org/10.1186/s10033-023-00871-z [Accessed 29 Jun. 2026].

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Título
Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles
Autor / colaboradores
Hongyun Wu et al
Editorial
KeAi Communications Co., Ltd
Año de publicación
2023
ISSN
2192-8258
ISSN
2192-8258
Idioma
eng

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