Home/Alexandria Engineering Journal/Article Record
Peer-Reviewed Article August 5, 2020

Research on the fluid characteristics of cemented backfill pipeline transportation of mineral processing tailings

Are you an author of this work?Link to your sovereign AfriScholar profile
Published in: Alexandria Engineering Journal
Publisher: Elsevier BV • Egypt • 1110-0168
DOI: https://doi.org/10.1016/j.aej.2020.07.047

Abstract

With the deepening of underground resource exploitation, the application of cemented backfill pipeline transportation of mineral tailings has become the best option to reduce the risk of deep ground pressure and solid waste pollution. Research in this field is mainly centred on slurry fluidity experiments. However, the slurry transportation parameters, particle characteristics and complexity of the pipeline all cause uncertainty in the calculation of backfill pipeline transportation parameters. The conventional backfill loop test is expensive. Combining structural fluid tests with particle flow models, this paper presents a method to optimize backfill pipeline transportation parameters. The H-B model is employed to analyse the transportation resistance of backfill slurry along the line to establish the relation function between the resisting force and the parameters. Adoption of a custom function improves the accuracy of the inter-phase drag model and the erosion effect. This paper analyses the flow state of the high-concentration solid-liquid dense phase fluid in backfill gravity transportation to obtain optimized transportation parameters. The research results improve the accuracy of the calculation of the backfill pipeline transportation parameters, which can be effectively applied in the optimal design of high-concentration slurry backfill pipeline transportation.

Download Full Text PDFView at PublisherCrossref RecordCrossref XML

Verified Citation Velocity

Recorded scholarly citations in African and international peer-reviewed literature

67
Total Citations

Citations are continuously tracked and harvested across continental OJS endpoints and OpenAlex feeds.