Advance Search
Qi Qingjie Wang Huan Dong Ziwen Li Yanchuan LiXinghua, . Determination on initial coal spontaneous combustion area of coal pile based on COMSOL Software[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (10).
Citation: Qi Qingjie Wang Huan Dong Ziwen Li Yanchuan LiXinghua, . Determination on initial coal spontaneous combustion area of coal pile based on COMSOL Software[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (10).

Determination on initial coal spontaneous combustion area of coal pile based on COMSOL Software

More Information
  • Available Online: April 02, 2023
  • Published Date: October 24, 2016
  • In order to prevent and control spontaneous combustion on the coal piles under different pile parameter conditions, based on the spontaneous combustio n theory of the coal pile, COMSOL Multiphysics 5.0 numerical simulation software was applied to establish a spontaneous combustion model of the coal pile. When the p orosity was 0.2~0.6, the most easy spontaneous combustion air velocity range of the coal pile, the combustion period and the initial spontaneous combustion location of the coal pile within the air velocity range of the most easy spontaneous combustion were studied. The result showed that with the porosity of the coal pile increased, the spontaneous combustion air velocity range of the coal pile would be steadily decreased. The min and max value of the spontaneous combustion period of the coal pile would have an variation tendency with increasing firstly and then reducing. Under the wind speed range of spontaneous, the most easily spontaneous combustion positio n for different porosity coal pile have a migration law of "the middle of the left side-central middle and top part-top of the right side"with the wind velocity increasing. Th e initial spontaneous combustion locations would have the generality and all would be in a location with the same coordinate. The results could provide the beneficial re ferences to accurately set the location and control of the coal pile spontaneous combustion.
  • Related Articles

  • Cited by

    Periodical cited type(12)

    1. 刘昕. 云边协同控制技术在矿山领域的系统架构及关键技术研究. 煤矿机械. 2025(08)
    2. 刘宏滔, 吴禹同, 白尧, 刘成龙. 基于YOLO-V5算法的煤岩界线识别研究. 山西建筑. 2025(13)
    3. 赵书东, 元永国. 煤矿智能开采技术“双高”专业数字化建设. 湖北应急管理. 2025(12)
    4. 崔石磊, 何明伟, 陈建华, 仙文豪. 面向标准作业流程的煤矿机电设备故障知识图谱构建方法. 工矿自动化. 2025(S1)
    5. 张飞建. 麻地梁煤矿智能化开采技术. 当代化工研究. 2025(11)
    6. 张强, 刘伟, 王阳, 马寿祥, 苏金鹏, 张润鑫. 基于数字孪生的刮板输送机中部槽结构响应预测. 煤炭学报. 2025(06)
    7. 李梅,张鹏鹏,李元琛. AI赋能智能矿山:应用场景及未来展望. 煤炭经济研究. 2025(02): 161-169 .
    8. 王国法,任怀伟,富佳兴. 煤矿智能化建设高质量发展难题与路径. 煤炭科学技术. 2025(01): 1-18 . 本站查看
    9. 付翔,闫明. 煤炭开采技术的人工智能应用. 绿色矿山. 2025(01): 63-72 .
    10. 魏文艳. 煤矿智能化技术的现状与发展前景. 煤矿机械. 2025(05): 94-98 .
    11. 师晓妍. 选煤厂生产系统智能化改造研究. 机械管理开发. 2025(04): 170-172 .
    12. 雷志勇,马小龙,赵树军,张世明,燕斌. 露天矿连采装备智能化协同管控平台. 煤炭科学技术. 2025(04): 362-372 . 本站查看

    Other cited types(1)

Catalog

    Article views (1277) PDF downloads (734) Cited by(13)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return