Numerical simulation of hydraulic lifting of multi-sized coarse particles in laterally vibrated pipe for deep-sea mining

In deep-sea mining, the efficient and stable transportation of coarse particles in the vertical riser is a key technical challenge to ensure the safe operation of the system. Based on the coupled method of computational fluid dynamics (CFD) and the discrete element method (DEM), this paper studies the transport behavior of multi-sized coarse particles under transverse vibration conditions and focuses on exploring the effects of the standard deviation of particle size distribution, vibration parameters, and feed concentration on the flow characteristics of solid–liquid two-phase flow. The results show that the pipe vibration induces the periodic transverse migration of particles, and at a specific phase, a near-wall aggregation layer is formed. The disturbed boundary layer structure leads to a directional difference in wall friction. As the standard deviation of the particle size distribution increased from 0 to 0.001, the average axial velocity fluctuation of the particle group was reduced by 35%, improving the stability of the transport system. However, it also leads to an increase in pressure drop and energy consumption. At low amplitudes and frequencies, it is more advantageous to use single-size particles for conveying. At high amplitudes and frequencies, the increased inertial force causes the particle group to gradually aggregate from the center of the pipe toward the wall. In addition, increasing the feeding concentration can enhance the conveying efficiency, but it will also exacerbate the risk of energy loss and equipment wear.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-12-01
DOI
https://doi.org/10.1063/5.0301747
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical simulation of hydraulic lifting of multi-sized coarse particles in laterally vibrated pipe for deep-sea mining

Han Qiu, Gang Ma, Ruijia Jin, Hailong Chen et al.
Physics of Fluids
Granular flow and fluidized beds
article

Numerical simulation of hydraulic lifting of multi-sized coarse particles in laterally vibrated pipe for deep-sea mining

Han Qiu, Gang Ma, Ruijia Jin, Hailong Chen, Shuzheng Sun, Yanhua Hu, Can Yang
article en

Abstract

In deep-sea mining, the efficient and stable transportation of coarse particles in the vertical riser is a key technical challenge to ensure the safe operation of the system. Based on the coupled method of computational fluid dynamics (CFD) and the discrete element method (DEM), this paper studies the transport behavior of multi-sized coarse particles under transverse vibration conditions and focuses on exploring the effects of the standard deviation of particle size distribution, vibration parameters, and feed concentration on the flow characteristics of solid–liquid two-phase flow. The results show that the pipe vibration induces the periodic transverse migration of particles, and at a specific phase, a near-wall aggregation layer is formed. The disturbed boundary layer structure leads to a directional difference in wall friction. As the standard deviation of the particle size distribution increased from 0 to 0.001, the average axial velocity fluctuation of the particle group was reduced by 35%, improving the stability of the transport system. However, it also leads to an increase in pressure drop and energy consumption. At low amplitudes and frequencies, it is more advantageous to use single-size particles for conveying. At high amplitudes and frequencies, the increased inertial force causes the particle group to gradually aggregate from the center of the pipe toward the wall. In addition, increasing the feeding concentration can enhance the conveying efficiency, but it will also exacerbate the risk of energy loss and equipment wear.

Physics of FluidsVol. 37(12)
Harbin Engineering University (CN), Yantai University (CN), Tianjin Research Institute of Water Transport Engineering (CN)
Openalex Percentile: Top 60%
Granular flow and fluidized beds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.