Volume 9 Issue 1
Feb.  2024
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ZHAO Long, ZHU Xueshuai, WEI Lubi, WANG Baoqiang, CHEN Jiangtao, WU Bingbin, GUAN Changping. Study on Separation characteristics of dense medium cyclone for raw coal with high density fraction contents[J]. Journal of Mining Science and Technology, 2024, 9(1): 98-105. doi: 10.19606/j.cnki.jmst.2024.01.010
Citation: ZHAO Long, ZHU Xueshuai, WEI Lubi, WANG Baoqiang, CHEN Jiangtao, WU Bingbin, GUAN Changping. Study on Separation characteristics of dense medium cyclone for raw coal with high density fraction contents[J]. Journal of Mining Science and Technology, 2024, 9(1): 98-105. doi: 10.19606/j.cnki.jmst.2024.01.010

Study on Separation characteristics of dense medium cyclone for raw coal with high density fraction contents

doi: 10.19606/j.cnki.jmst.2024.01.010
  • Received Date: 2023-09-17
  • Rev Recd Date: 2023-11-02
  • Publish Date: 2024-02-29
  • This study attempts to enhance the separation efficiency of dense media cyclone for raw coal feed with difficult-to-cleaning and large high-density component content. Specifically, this paper 1) designed a novel heavy media cyclone model device, 2) established a mathematical model of sedimentation separation of particles in the centrifugal rotating flow field, 3) investigated the separation characteristics of the new dense media cyclone by combining experimental research and theoretical analysis, which revealed the separation variation patterns of raw coal difficult to select with high content heavy density components under different process parameters, 4) explored the factors affecting the dynamic stability of the working suspension in the flow field of the new heavy media cyclone and the discharge and transportation mechanism of heavy products. Results show that when the new dense media cyclone separates raw coal with high content of heavy density components, underflow heavy products exhibit stronger discharge capacity and higher processing capacity, while the centrifugal swirl field shows smaller density gradient distribution of suspension, more uniform density distribution, lower value of the difference between the underflow and the overflow density, as well as stronger stability of the suspension in the flow field. The feeding pressure is directly correlated with the dynamic stability of the suspension, separation accuracy and the discharge efficiency of heavy products. With increasing feeding pressure, the suspension discharged from the underflow and overflow port shows increased density difference, reduced possible deviation E value, improved separation accuracy and elevated amount of heavy product discharged. When the feeding pressure is 25 kPa, the actual separation density is 1.666 g/cm3, the possible deviation E value is 0.09 g/cm3, and the yield of heavy products is 75.23%, which provides new insights into the separation of raw coal with high content, heavy density components.
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  • [1]
    王国法, 任世华, 庞义辉, 等. 煤炭工业"十三五" 发展成效与"双碳" 目标实施路径[J]. 煤炭科学技术, 2021, 49(9): 1-8.

    WANG Guofa, REN Shihua, PANG Yihui, et al. Development achievements of China's coal industry during the 13th Five-Year Plan period and implementation path of "dual carbon" target[J]. Coal Science and Technology, 2021, 49(9): 1-8.
    [2]
    谢和平, 吴立新, 郑德志. 2025年中国能源消费及煤炭需求预测[J]. 煤炭学报, 2019, 44(7): 1949-1960.

    XIE Heping, WU Lixin, ZHENG Dezhi. Prediction on the energy consumption and coal demand of China in 2025[J]. Journal of China Coal Society, 2019, 44(7): 1949-1960.
    [3]
    王旭东. 我国煤炭行业高质量发展指标体系及基本路径研究[J]. 中国煤炭, 2020, 46(2): 22-27.

    WANG Xudong. Study on high quality development index system and basic path of coal industry in China[J]. China Coal, 2020, 46(2): 22-27.
    [4]
    王国法, 刘合, 王丹丹, 等. 新形势下我国能源高质量发展与能源安全[J]. 中国科学院院刊, 2023, 38(1): 23-37.

    WANG Guofa, LIU He, WANG Dandan, et al. High-quality energy development and energy security under the new situation for China[J]. Bulletin of Chinese Academy of Sciences, 2023, 38(1): 23-37.
    [5]
    王国法, 李世军, 张金虎, 等. 筑牢煤炭产业安全奠定能源安全基石[J]. 中国煤炭, 2022, 48(7): 1-9.

    WANG Guofa, LI Shijun, ZHANG Jinhu, et al. Ensuring the safety of coal industry to lay the cornerstone of energy security[J]. China Coal, 2022, 48(7): 1-9.
    [6]
    程宏志. 碳达峰碳中和战略目标下选煤技术发展的思考[J]. 选煤技术, 2022, 50(5): 1-6.

    CHENG Hongzhi. Thoughts on the development of coal preparation technology under the scenario of reaching a peak in carbon emissions and achieving carbon neutrality[J]. Coal Preparation Technology, 2022, 50(5): 1-6.
    [7]
    刘印桢, 赵萌, 侯卜瑛, 等. 不同湍流度下Ahmed模型的流场及气动特性分析[J]. 内蒙古工业大学学报: 自然科学版, 2022, 41(4): 358-366.

    LIU Yinzhen, ZHAO Meng, HOU Buying, et al. Flow field analysis and aerodynamic characteristics of Ahmed model under different degrees of turbulence[J]. Journal of Inner Mongolia University of Technology: Natural Science Edition, 2022, 41(4): 358-366.
    [8]
    赵跃民, 张亚东, 周恩会, 等. 清洁高效干法选煤研究进展与展望[J]. 中国矿业大学学报, 2022, 51(3): 607-616.

    ZHAO Yuemin, ZHANG Yadong, ZHOU Enhui, et al. Research progress and prospect of clean and efficient dry coal separation[J]. Journal of China University of Mining & Technology, 2022, 51(3): 607-616.
    [9]
    李勃. 红沙梁选煤厂干法选煤工艺研究[J]. 煤炭技术, 2022, 41(9): 236-238.

    LI Bo. Study on dry coal preparation technology in Hongshaliang coal preparation plant[J]. Coal Technology, 2022, 41(9): 236-238.
    [10]
    马占国, 孙凯, 赵国贞, 等. 煤矿井下湿法分选系统设计[J]. 煤炭科学技术, 2011, 39(2): 119-121.

    MA Zhanguo, SUN Kai, ZHAO Guozhen, et al. Design of wet coal separation system in underground mine[J]. Coal Science and Technology, 2011, 39(2): 119-121.
    [11]
    高嵩, 王敏, 吴菠. TDS智能干选机在煤矿中的研究与应用[J]. 煤炭科学技术, 2020, 48(S2): 57-60.

    GAO Song, WANG Min, WU Bo. Research and application of TDS intelligent dry separator in coal mine[J]. Coal Science and Technology, 2020, 48(S2): 57-60.
    [12]
    白明明, 贾美美, 徐赫阳, 等. 新忆阻神经元混沌系统的混沌控制[J]. 内蒙古工业大学学报: 自然科学版, 2023, 42(1): 58-64.

    BAI Mingming, JIA Meimei, XU Heyang, et al. Chaos control of novel memristive neuron chaotic system[J]. Journal of Inner Mongolia University of Technology: Natural Science Edition, 2023, 42(1): 58-64.
    [13]
    赵学军, 李建. 一种基于深度学习的煤矸石检测方法[J]. 矿业科学学报, 2021, 6(6): 730-736. doi: 10.19606/j.cnki.jmst.2021.06.012

    ZHAO Xuejun, LI Jian. A method of coal gangue detection based on deep learning[J]. Journal of Mining Science and Technology, 2021, 6(6): 730-736. doi: 10.19606/j.cnki.jmst.2021.06.012
    [14]
    俞海鹰. 优化选煤工艺适应煤质变化[J]. 选煤技术, 2016(4): 36-40.

    YU Haiying. Optimization of coal cleaning process for better adaption to variation of raw coal property[J]. Coal Preparation Technology, 2016(4): 36-40.
    [15]
    翟红, 曹伟. 动筛跳汰机在汾西矿业集团选煤中的应用[J]. 煤炭科学技术, 2009, 37(6): 92-94.

    ZHAI Hong, CAO Wei. Application of vibrated screen jig to coal preparation in Fenxi coal mining group[J]. Coal Science and Technology, 2009, 37(6): 92-94.
    [16]
    刘辉. 四川代池坝选煤厂原煤分选工艺研究[J]. 煤炭科学技术, 2013, 41(S2): 406-408, 411.

    LIU Hui. Study on raw coal separation technique in daichiba coal preparation plant of Sichuan Province[J]. Coal Science and Technology, 2013, 41(S2): 406-408, 411.
    [17]
    刘洵文, 向伯涛. 保德南部区选煤厂分选系统优化改造[J]. 煤炭科学技术, 2020, 48(S1): 254-260.

    LIU Xunwen, XIANG Botao. Preparation system optimization and renovation in southern distric of Baode Coal Preparation Plant[J]. Coal Science and Technology, 2020, 48(S1): 254-260.
    [18]
    于一栋. 超级三产品重介质旋流器在老石旦选煤厂应用的工艺指标分析[J]. 煤炭加工与综合利用, 2021(9): 5-10.

    YU Yidong. Process index of super three product heavy medium cyclone in Laoshidan Coal Preparation Plant[J]. Coal Processing & Comprehensive Utilization, 2021(9): 5-10.
    [19]
    刘亿, 郭崇涛, 杨晓鸿, 等. 临涣选煤厂高含矸原煤优化处理实践[J]. 选煤技术, 2019(5): 89-91.

    LIU Yi, GUO Chongtao, YANG Xiaohong, et al. The practice of optimized treatment of the raw coal with high dirtcontent at Linhuan Coal Preparation Plant[J]. Coal Preparation Technology, 2019(5): 89-91.
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