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Experimental Study on Motion Characteristics of Coarse Particles in Hydraulic Lift Pipelines During Deep-Sea Mining
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Zhenhua HAN1, 2, Yijun SHEN1, 3, Yanlian DU1, Ruiyong ZHANG1, 2, Fusen PENG1, 2, Li CHEN1, 2
Mining and Metallurgical Engineering | 2025, 45(1) : 1 - 6
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Mining and Metallurgical Engineering | 2025, 45(1): 1-6
• MINING •
Experimental Study on Motion Characteristics of Coarse Particles in Hydraulic Lift Pipelines During Deep-Sea Mining
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Zhenhua HAN1, 2, Yijun SHEN1, 3, Yanlian DU1, Ruiyong ZHANG1, 2, Fusen PENG1, 2, Li CHEN1, 2
Affiliations
  • 1.State Key Laboratory of Marine Resources Utilization in the South China Sea, Hainan University, Haikou 570228, Hainan, China
  • 2.School of Information and Communication Engineering, Hainan University, Haikou 570228, Hainan, China
  • 3.School of Marine Science and Engineering, Hainan University, Haikou 570228, Hainan, China
Published: 2025-02-01 doi: 10.3969/j.issn.0253-6099.2025.01.001
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To study the motion characteristics of particles in hydraulic lift pipelines during deep-sea mining, a set of particle image processing technique was proposed, including image preprocessing, binarization processing, morphological operations, edge detection of particles, and overlapping segmentation. This technique was used to identify and extract particle information from cross-sectional images of pipe obtained from hydraulic transportation simulation experiments, and the distribution and motion patterns of particles within the pipeline were also analyzed. The results show that the larger particles tend to aggregate near the pipe wall, where fluid flows at a lower velocity; the smaller particles are mainly concentrated at the center of the pipeline with the fluid at a higher velocity. The distribution of the average particle velocity along the radial direction of the pipeline follows a parabolic law of variation. The average velocity decreases as particle size increases, and also the velocity reaches the maximum at the center of pipe and then gradually decreases towards the wall. It is found that the proposed particle image processing technique can be effective in analyzing the motion characteristics of particles in pipeline.

deep-sea mining  /  particle image processing technology  /  pipeline transportation  /  particle motion  /  solid-liquid two-phase flow  /  hydraulic lift  /  image processing  /  image segmentation
Zhenhua HAN, Yijun SHEN, Yanlian DU, Ruiyong ZHANG, Fusen PENG, Li CHEN. Experimental Study on Motion Characteristics of Coarse Particles in Hydraulic Lift Pipelines During Deep-Sea Mining[J]. Mining and Metallurgical Engineering, 2025 , 45 (1) : 1 -6 . DOI: 10.3969/j.issn.0253-6099.2025.01.001
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Year 2025 volume 45 Issue 1
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Article Info
doi: 10.3969/j.issn.0253-6099.2025.01.001
  • Receive Date：2024-09-07
  • Online Date：2026-03-17
  • Published：2025-02-01
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  • Received：2024-09-07
Funding
Affiliations
    1.State Key Laboratory of Marine Resources Utilization in the South China Sea, Hainan University, Haikou 570228, Hainan, China
    2.School of Information and Communication Engineering, Hainan University, Haikou 570228, Hainan, China
    3.School of Marine Science and Engineering, Hainan University, Haikou 570228, Hainan, China
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https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2025.01.001
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表12种不同金属材料的力学参数
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Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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