Research on the Separation Model of Dense Medium Coal Preparation and Analysis of Separation Effect
Authors
Lingyue Li1, *, Fengliang Guo2, Pengfei Yun2, Xianpeng Wang1, Jie Li1, Ziyao Wang1, Xiaoping Tang1, Xiaoping Ding1
1Huadian Electric Power Research Institute Co., Ltd., Beijing, 100031, China
2Shaanxi Huadian Yuheng Coal and Electricity Co., Ltd., Yulin, Shaanxi, 719000, China
*Corresponding author.
Email: 1263653199@qq.com
Corresponding Author
Lingyue Li
Available Online 24 December 2024.
- DOI
- 10.2991/978-94-6463-606-2_12How to use a DOI?
- Keywords
- separation model; dense medium; separation effect
- Abstract
This paper studies the heavy medium coal separation model, analyzes the heavy medium separation experiment, fits the distribution curve, and examines the coal separation effect. Through research, it can be seen that the coal preparation accuracy Ep value gradually decreases with the increase of particle size; The mathematical expression for the Ep value of Xiaojihan Coal Preparation Plant was obtained through data fitting, with a goodness of fit of 0.999 and a good fitting effect.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lingyue Li AU - Fengliang Guo AU - Pengfei Yun AU - Xianpeng Wang AU - Jie Li AU - Ziyao Wang AU - Xiaoping Tang AU - Xiaoping Ding PY - 2024 DA - 2024/12/24 TI - Research on the Separation Model of Dense Medium Coal Preparation and Analysis of Separation Effect BT - Proceedings of the 2024 6th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2024) PB - Atlantis Press SP - 105 EP - 113 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-606-2_12 DO - 10.2991/978-94-6463-606-2_12 ID - Li2024 ER -