Back to Search Start Over

A New Model for Predicting Drag Coefficient and Settling Velocity of Coarse Mineral Particles in Newtonian Fluid

Authors :
Zhenqiang Xu
Kaixiang Shen
Kewei Zhang
Nana Guo
Zijian Li
Source :
Minerals, Vol 14, Iss 2, p 150 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Efficient transport in vertical pipeline hydraulic lifting systems is vital for coarse-grained ore, necessitating a deep comprehension of the settling traits of coarse mineral particles. In this study, we conducted a series of settling experiments on individual coarse particles in Newtonian fluids with varying viscosities, employing a self-designed and manufactured settling apparatus. A total of 133 sets of experimental data on the free settling of coarse particles in Newtonian fluids were obtained by recording the particle settling process with a high-speed camera and applying image processing techniques. A mechanical model was employed to perform statistical analysis on the experimental data and establish a predictive model for the drag coefficient and an explicit predictive model for the settling terminal velocity of coarse-grained ore in Newtonian fluids. The average relative errors between the predicted values and experimental values of the drag coefficient and settling terminal velocity models are 4.26% and 7.34%, respectively. This confirms the reliability of the provided predicted model, providing a theoretical foundation for determining the hydraulic lifting speed of coarse mineral particles in vertical pipelines for deep mining.

Details

Language :
English
ISSN :
2075163X
Volume :
14
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Minerals
Publication Type :
Academic Journal
Accession number :
edsdoj.72a2041220624585ba93ac5ae7afd221
Document Type :
article
Full Text :
https://doi.org/10.3390/min14020150