Influence of the chip particle shape of deep-sea seafloor massive sulfide on collection characteristics

• The sphericity parameter is selected to characterize the shape of deep-sea seafloor massive sulfide chip particles. • The influence of the sphericity of chip particles on the collection characteristics has been revealed. • Under the condition of the same sphericity, the influence of chip particle size on the collection characteristics has been systematically studied. Investigations into the collection of seafloor massive sulfides have had a relatively late start, with few related achievements. Moreover, most existing studies have focused on the collection of spherical particles. Therefore, the influence of particle shape on collection characteristics has not been fully investigated. This study develops a computational fluid dynamics and discrete element method coupling method with particle shape characterized by sphericity. The collection characteristics of four types of chip particles with sphericity of 0.671, 0.806, 0.911, and 1 were investigated. The results indicate that the collection mechanisms of the particles with the four sphericities were consistent. However, as sphericity increases, the mass of both collected and escaped particles increases, while collection efficiency decreases. Moreover, the main escape directions of the four types of particles align with the wake direction of rotation. In addition, as sphericity increases, the drag force borne by particles decreases, average number of particle collisions decreases, and minimum collection time is correspondingly shortened. This study provides a more solid theoretical basis for studies on non-spherical particle collection and has significant practical engineering applications.

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Publication Details

Journal
Journal of Ocean Engineering and Science
Published
2025-12-01
DOI
https://doi.org/10.1016/j.joes.2025.12.017
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
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article

Influence of the chip particle shape of deep-sea seafloor massive sulfide on collection characteristics

Haining Lu, Liwen Deng, Jianmin Yang, Bei Zhang et al.
Journal of Ocean Engineering and Science
Particle Dynamics in Fluid Flows
article

Influence of the chip particle shape of deep-sea seafloor massive sulfide on collection characteristics

Haining Lu, Liwen Deng, Jianmin Yang, Bei Zhang, Zhongqin Lin, Shihang Liu
article en

Abstract

• The sphericity parameter is selected to characterize the shape of deep-sea seafloor massive sulfide chip particles. • The influence of the sphericity of chip particles on the collection characteristics has been revealed. • Under the condition of the same sphericity, the influence of chip particle size on the collection characteristics has been systematically studied. Investigations into the collection of seafloor massive sulfides have had a relatively late start, with few related achievements. Moreover, most existing studies have focused on the collection of spherical particles. Therefore, the influence of particle shape on collection characteristics has not been fully investigated. This study develops a computational fluid dynamics and discrete element method coupling method with particle shape characterized by sphericity. The collection characteristics of four types of chip particles with sphericity of 0.671, 0.806, 0.911, and 1 were investigated. The results indicate that the collection mechanisms of the particles with the four sphericities were consistent. However, as sphericity increases, the mass of both collected and escaped particles increases, while collection efficiency decreases. Moreover, the main escape directions of the four types of particles align with the wake direction of rotation. In addition, as sphericity increases, the drag force borne by particles decreases, average number of particle collisions decreases, and minimum collection time is correspondingly shortened. This study provides a more solid theoretical basis for studies on non-spherical particle collection and has significant practical engineering applications.

Journal of Ocean Engineering and Science
Shanghai Jiao Tong University (CN), Bay Institute (US), Shanghai Ocean University (CN)
Life below water
Openalex Percentile: Top 36%
Particle Dynamics in Fluid Flows
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