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管道输送煤浆中煤颗粒尺寸变化引起的流变参数研究

Study of rheological parameters due to coal particle size change in pipeline transported coal slurry.

作者信息

Zhao Li-An, Jian Chunsen, Cai Ronghuan, He Peng

机构信息

College of Mining, Liaoning Technical University, Fuxin, 123000, Liaoning, China.

Key Laboratory of Safe Mining in Deep Metal Mines, Ministry of Education, Northeastern University, Liaoning, 110819, China.

出版信息

Sci Rep. 2024 Nov 26;14(1):29333. doi: 10.1038/s41598-024-79696-2.

DOI:10.1038/s41598-024-79696-2
PMID:39592663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11599778/
Abstract

This article proposes using abrasion equilibrium equations for refining coarse-grained coal slurry hydrodynamic conveying, combining experimental data and theoretical analysis. It presents a particle refinement solution model and a viscosity prediction formula for mixed coarse and fine coal samples. Experimental data indicate that prolonged conveying time decreases coarse particle content and increases fine particles (< 0.074 mm), with a tendency for slurry viscosity to rise, though the rate of increase slows. Comparing predicted and measured particle refinement values showed a maximum deviation of 10% for 30 and 50-minute conveying times. Using the Herschel-Bulkley fluid model for viscosity prediction post-grading, verified with experimental data, the minimum viscosity value is observed at a 58% slurry concentration with varying coarse and fine coal ratios. The deviation between predicted and measured viscosity values is 5.23%, providing a formula for the viscosity reduction effect of blending.

摘要

本文提出利用磨损平衡方程对粗颗粒煤泥的水力输送进行优化,结合实验数据和理论分析。给出了粗细混合煤样的颗粒细化求解模型和粘度预测公式。实验数据表明,输送时间延长会降低粗颗粒含量,增加细颗粒(<0.074毫米),浆液粘度有上升趋势,但上升速率减缓。对比预测和实测的颗粒细化值,在输送30和50分钟时,最大偏差为10%。采用 Herschel-Bulkley 流体模型对分级后的粘度进行预测,并经实验数据验证,在不同粗细煤配比下,当浆液浓度为58%时,粘度值最小。预测粘度值与实测粘度值之间的偏差为5.23%,给出了掺混降粘效果的公式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/bf87d8aeb444/41598_2024_79696_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/0e647655d552/41598_2024_79696_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/8c42992e4c04/41598_2024_79696_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/8d5dd6e6c717/41598_2024_79696_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/ecf01795839b/41598_2024_79696_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/6f1b1f9a45e2/41598_2024_79696_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/8552de940b85/41598_2024_79696_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/ddfd304ec7b9/41598_2024_79696_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/bf87d8aeb444/41598_2024_79696_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/0e647655d552/41598_2024_79696_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/8c42992e4c04/41598_2024_79696_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/8d5dd6e6c717/41598_2024_79696_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/ecf01795839b/41598_2024_79696_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/6f1b1f9a45e2/41598_2024_79696_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/8552de940b85/41598_2024_79696_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/ddfd304ec7b9/41598_2024_79696_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66b5/11599778/bf87d8aeb444/41598_2024_79696_Fig8_HTML.jpg

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