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Research on Performance Optimization of Deep-Sea Microbial Sampling Device Based on Porous Step Model
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Yang AI, Long ZANG, Bingzheng CHEN, Jiangming LI, Min JIANG
Mining Research and Development | 2025, 45(9) : 1 - 7
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Mining Research and Development | 2025, 45(9): 1-7
Research on Performance Optimization of Deep-Sea Microbial Sampling Device Based on Porous Step Model
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Yang AI, Long ZANG, Bingzheng CHEN, Jiangming LI, Min JIANG
Affiliations
  • Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
Published: 2025-09-25
Outline
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Taking the filter membrane of a microbial sampler as the research background, a porous step model was used to simulate the structure of the microbial sampling membrane. The internal flow field of the sampler was numerically investigated using the finite element method. Simulations were conducted to analyze the filtration pressure drop, flow velocity variation patterns, and the distribution of velocity and pressure contours within the sampler. The influence of fluid inlet velocity parameters on the performance of the deep-sea microbial sampling device was studied, thereby determining the optimal fluid inlet velocity parameters for the deep-sea microbial sampler. The results show that under the conditions of inlet velocity of 0.1, 0.2, 0.3, 0.4, 0.5, the pressure drops on both sides of the filter membrane of the sampler are 36, 82, 139, 207, 288 Pa, and the differences of flow velocity on both sides of the filter membrane of the sampler are 0.05, 0.16, 0.26, 0.34, 0.38, respectively. The pressure drop across the filter membrane of the sampler and the velocity difference between both sides of the membrane increase with the increase in the inlet velocity, while the pressure behind the filter membrane decreases as the velocity increases. When the fluid inlet velocity is 0.3, the filtration performance of the sampler reaches its optimum. Numerical simulation results can provide a theoretical basis for researching the filtration performance of deep-sea microbial sampling devices.

Deep-sea mining  /  Deep-sea microbial sampler  /  Porous step model  /  Numerical simulation
艾杨, 臧龙, 陈秉正, 李江明, 江敏. 基于多孔阶跃模型的深海微生物取样装置性能优化研究. 矿业研究与开发, 2025 , 45 (9) : 1 -7 .
Yang AI, Long ZANG, Bingzheng CHEN, Jiangming LI, Min JIANG. Research on Performance Optimization of Deep-Sea Microbial Sampling Device Based on Porous Step Model[J]. Mining Research and Development, 2025 , 45 (9) : 1 -7 .
Year 2025 volume 45 Issue 9
76
36
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  • Receive Date:2024-11-19
  • Online Date:2026-10-28
  • Published:2025-09-25
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  • Received:2024-11-19
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    Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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