Advance Search
Moisture Content Affected to Initial Gas Emission Velocity of Different Ranking Coal .[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (12).
Citation: Moisture Content Affected to Initial Gas Emission Velocity of Different Ranking Coal .[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (12).

Moisture Content Affected to Initial Gas Emission Velocity of Different Ranking Coal .

More Information
  • Available Online: April 02, 2023
  • Published Date: December 24, 2012
  • In order to improve the prediction accuracy of the coal and gas outburst in mine,measurements were conducted on the initial gas emission velocity of the anthracite coal,coking coal and long flame coal with different moisture contents after dry treatments.The results showed that the moisture would all have the influences t 0 the gas initial emission velocity of the anthracite coal,coking coal and long flame coal.The higher moisture content of the coal samples in different ranking coal,the low er initial gas emission velocity would be.The gas initial emission velocity would be decreased with the moisture content increased in index.The gas adsorption value of t he coal sample with the moisture reduced was the fundamental causes to reduce the gas initial emission velocity. The moisture content would have highest influences to the gas initial emission velocity of the anthracite coal,the medium influences to the long flame coal and the lowest influences to the coking coal.The reason was the diff erent pore features of different ranking coal.
  • Related Articles

    [1]LEI Hongyan. Experimental study on determination of residual space volume of adsorption tank by vacuum filled He method[J]. COAL SCIENCE AND TECHNOLOGY, 2024, 52(S1): 86-93. DOI: 10.12438/cst.2024-0517
    [2]Correction calculation of shale gas absolute adsorption capacity and its influencing factors analysis[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(2): 154-162.
    [3]HUANG Zan, SUN Bin, YANG Qing, MA Shiming, SHAO Yanwen, TIAN Wenguang, QI Ling, HUANG Lei. Study on characterization and fractal features of adsorption pores of coal reservoirs in Jixi Basin[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(5): 218-226.
    [4]Cai Tingting Zhao Dong Feng Zengchao, . Isothermal adsorption characteristics of coalbed methane under different temperatures based on monolayer adsorption theory[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (7).
    [5]Lin Yabing Shen Xiaolong Liu Jun, . Study on pore features and adsorption storage performances of low rank coal reservoir in Huanglong Coalfield[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (5).
    [6]Lin HaifeiWei Wenbin Li ShugangCheng Lianhua, . Experiment study on pore structure of low rank coal affected to gas adsorption features[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (6).
    [7]Ma Dongmin Zhang Hui Wang Guirong Yang Jianqiang Bai Huaidong Suo Genxi Xu Jianmin, . Study on isobaric adsorption/desorption features of coalbed methane in Hujiahe Coal Field[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (4).
    [8]Yue Gaowei Wang Zhaofeng Xie Ce Li Xiaojun, . Experiment study on gas absorption effect promoted by temperature reducing of coal mass[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (4).
    [9]Lin Yabing Jia xuemei Ma Dongmin, . Study and application of coal pore features based on liquid nitrogen adsorption method[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (3).
    [10]CHEN Liang LIU Ming-ju WU Bing WANG Yin-kai WANG Chao, . Determination on Critical Value of Gas Content Based on Gas Adsorption and Desorption Experiment[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (7).
  • Cited by

    Periodical cited type(18)

    1. 李阳. 影视拍摄机器人中基于目标检测信息的跟踪算法应用研究. 自动化与仪器仪表. 2025(06)
    2. 毛清华,苏毅楠,贺高峰,翟姣,王荣泉,尚新芒. 基于改进YOLOv8模型的井下人员入侵带式输送机危险区域智能识别. 工矿自动化. 2025(01): 11-20+103 .
    3. 李小军,赵明炀,李淼. 基于深度学习的钻孔冲煤量智能识别方法. 煤田地质与勘探. 2025(01): 257-270 .
    4. 路洋,董立红,叶鸥. 基于自适应链接优化的井下行人抗遮挡跟踪方法研究. 工矿自动化. 2025(02): 65-75+137 .
    5. 柳小波,范立鹏,秦丽杰,王连成,张兴帆. 机器视觉技术在矿山行业的应用现状与展望. 有色金属(矿山部分). 2025(02): 1-15 .
    6. 唐俊飞,邢海龙,李溯,张涛涛,刘恒,姚诗雨. 结合改进CNN与自注意力机制的煤矿轮式机器人目标检测技术. 煤矿安全. 2025(03): 224-232 .
    7. 毛清华,翟姣,胡鑫,苏毅楠,薛旭升. 煤矿综采工作面人员入侵危险区域智能识别方法. 煤炭学报. 2025(02): 1347-1361 .
    8. 井晶,高宇蒙,赵作鹏,闵冰冰. 一种改进的Yolov5s煤矿井下人员计数模型. 计算机仿真. 2025(04): 525-530+551 .
    9. 张宇豪,肖新宇,朱梓润,訾梦超,廖金湘. 一种基于DeepSORT的逆透视车流量检测方法. 轻工科技. 2024(01): 98-100 .
    10. 王洪磊,郭鑫,张亦凡,张俊升. 煤质煤量全面在线检测技术发展现状及应用进展. 煤炭科学技术. 2024(02): 219-237 . 本站查看
    11. 邵小强,李鑫,杨永德,原泽文,杨涛. 基于改进YOLOv7的矿井人员检测算法. 电子科技大学学报. 2024(03): 414-423 .
    12. 王茂森,鲍久圣,章全利,杨阳,袁晓明,阴妍,张可琨,葛世荣. 煤矿井下单轨吊无人驾驶目标识别算法与轨道接缝检测方法. 煤炭学报. 2024(S1): 457-471 .
    13. 狄靖尧,杨超宇. 基于改进Transformer的井下人员检测算法. 科学技术与工程. 2024(26): 11188-11194 .
    14. 解北京,李恒,董航,栾铮,张奔,李晓旭. 基于多尺度特征融合井下猴车载人状态的智能识别算法与应用. 煤炭科学技术. 2024(12): 272-286 . 本站查看
    15. 孙林,陈圣,姚旭龙,张艳博,陶志刚,梁鹏. 煤矿井下残缺信息的多目标检测方法研究. 煤炭科学技术. 2024(S2): 211-220 . 本站查看
    16. 范伟强,王雪瑾,张颖慧,李晓宇. 改进YOLOv7和DeepSORT的井下人员检测与跟踪算法. 煤炭科学技术. 2024(S2): 343-355 . 本站查看
    17. 程德强,寇旗旗,江鹤,徐飞翔,宋天舒,王晓艺,钱建生. 全矿井智能视频分析关键技术综述. 工矿自动化. 2023(11): 1-21 .
    18. 郝明月,闵冰冰,张新建,赵作鹏,吴晨,王欣. 基于改进YOLOv5s的矿工排队检测方法. 工矿自动化. 2023(11): 160-166 .

    Other cited types(12)

Catalog

    Article views (963) PDF downloads (768) Cited by(30)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return