Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
---|---|---|
Article Number | 03033 | |
Number of page(s) | 4 | |
Section | Geology, Mapping, and Remote Sensing | |
DOI | https://doi.org/10.1051/e3sconf/202016503033 | |
Published online | 01 May 2020 |
Resistance mechanisms and resistance reduction of slurry in pipeline
1 Changchun Sci-Tech University, College of Civil Engineering and Architecture, 130600 Changchun City, Jilin Province, China
2 Key Laboratory of Songliao Aquatic Environment, Ministry of Education, Jilin Jianzhu University, Changchun City, Jilin Province, China
* Corresponding author: yanbojiao1985@126.com
Resistance of slurry in pipeline is an important parameter in designing a slurry-conveying pipeline, which affects the cost of transportation of slurry. Therefore, it is of importance to study the resistance mechanisms, and to adopt proper technologies in reducing the resistance of slurry in pipeline. Resistance mechanisms of both fully stratified flow and fully suspended flow were discussed on the basis of analyzing the flow state of slurry in pipeline home and abroad. Technologies of reducing the resistance by adjustingthe sizes of particles, adding resistance reducer and rising temperaturewere summarized considering the influencing factors on resistance of slurry in pipelines.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.