Advance Search

ZHANG Meichen,ZHAO Lijuan,LI Minghao,et al. Analysis and experimental study on the vibration characteristics of the spiral drum of a shearer based on two-way coupling method[J]. Coal Science and Technology,2024,52(3):200−216

. DOI: 10.13199/j.cnki.cst.2023-0452
Citation:

ZHANG Meichen,ZHAO Lijuan,LI Minghao,et al. Analysis and experimental study on the vibration characteristics of the spiral drum of a shearer based on two-way coupling method[J]. Coal Science and Technology,2024,52(3):200−216

. DOI: 10.13199/j.cnki.cst.2023-0452

Analysis and experimental study on the vibration characteristics of the spiral drum of a shearer based on two-way coupling method

Funds: 

National Natural Science Foundation of China (51674134); "Digital Enlightenment, Science and Education, Insight into the Future" Educational Technology Research Fund Funding Project of the Science and Technology Development Center of the Ministry of Education (2018A04025); Doctoral Research Start-up Fund Funding Project (KYZ2022052Q)

More Information
  • Received Date: March 30, 2023
  • Available Online: March 13, 2024
  • In order to study the vibration characteristics of shearer’s spiral drum under various occurrence conditions, the coal-rock contact model was optimized by taking the MG2×55/250–BWD thin seam shearer as the engineering object, and discrete element model of the coal wall under various cutting conditions similar to the actual occurrence conditions were established. Combined with DEM–MFBD (Discrete Element Method-Multi Flexible Body Dynamics) two-way coupling numerical simulation method, the two-way coupling simulation platform of the rigid-flexible coupling virtual prototype model of the shearer cutting section and the discrete element model of the coal wall was built. Through simulation, the cutting process of the spiral drum under different coal wall working conditions was obtained, and the variation law of the vibration characteristics of the spiral drum under different occurrence conditions was analyzed. The results show that: during the cutting process, the spiral drum vibrates to different degrees in three directions, of which the vibration acceleration in the cutting resistance direction is the largest, the vibration acceleration in the traction resistance direction is the second, and the vibration acceleration in the lateral force direction is the smallest. With the increase of the hardness of the gangue and the proportion of the number of layers in the model, the vibration intensity of the spiral drum during the cutting process continues to increase, and the difference between the effective values of the maximum vibration acceleration reaches 4 403.149 mm/s2. The short-time Fourier transform was used to convert one-dimensional vibration signal into two-dimensional time-frequency spectrum image, and the characteristics of vibration information change under different working conditions were well preserved in time-frequency domain. The feature sample effect of time-frequency spectrum image is better than that of time-domain one-dimensional signal curve under various working conditions. The information such as the location, scope and shape of feature cluster of dominant frequency energy have obvious differences. Even if the number of rock parting is different, the distribution form of energy characteristics in the time-frequency spectrum image is also significantly different under complex working conditions where there are differences in the firmness coefficient of the rock parting. Through vibration modal analysis, it is found that with the increase of the hardness of the gangue in the coal wall, the deformation of each part changes, and the change of the pick part is the strongest. Building a vibration signal testing experimental platform for shearer based on similarity theory. The cutting process of spiral drum under different working conditions was tested experimentally. By tracking the vibration state of the spiral drum, it is found that the vibration change law is consistent with the results of the two-way coupling numerical simulation. The error between the effective value of the vibration acceleration of the spiral drum obtained by the DEM–MFBD numerical simulation method and the experimental data inferred based on similarity ratio is smaller than the error between the DEM discrete element numerical simulation method and the experimental data, which verifies the accuracy of the DEM–MFBD numerical simulation method. The research results are of great significance for the working reliability of the lifting spiral drum, and also provide a new method for obtaining data signals during the construction of the coal and rock cutting state recognition system for "unmanned" intelligent mining.

  • [1]
    赵丽娟,范佳艺,罗贵恒,等. 采煤机螺旋滚筒振动可靠性分析[J]. 振动工程学报,2020,33(1):82−87.

    ZHAO Lijuan,FAN Jiayi,LUO Guiheng,et al. Vibration reliability analysis of shearer’s spiral drum[J]. Journal of Vibration Engineering,2020,33(1):82−87.
    [2]
    田 震,荆双喜,赵丽娟,等. 薄煤层采煤机螺旋滚筒截割性能研究[J]. 河南理工大学学报,2020,39(2):80−84,109.

    TIAN Zhen,JING Shuangxi,ZHAO Lijuan,et al. Research on cutting performance of spiral drum of thin coal seam shearer[J]. Journal of Henan Polytechnic University,2020,39(2):80−84,109.
    [3]
    赵丽娟,王雅东,王 斌. 含夹矸煤层条件下采煤机螺旋滚筒工作性能分析与预测[J]. 中国机械工程,2021,32(8):976−986.

    ZHAO Lijuan,WANG Yadong,WANG Bin. Analysis and prediction of working performance of shearer spiral drums under coal seam with gangue[J]. China Mechanical Engineering,2021,32(8):976−986.
    [4]
    赵丽娟,王雅东,张美晨,等. 复杂煤层条件下采煤机自适应截割控制策略[J]. 煤炭学报,2022,47(1):541−563.

    ZHAO Lijuan,WANG Yadong,ZHANG Meichen,et al. Research on self-adaptive cutting control strategy of shearer in complex coal seam[J]. Journal of China Coal Society,2022,47(1):541−563.
    [5]
    王雅东,赵丽娟,张美晨. 采煤机自适应调高控制策略[J]. 煤炭学报,2022,47(9):3505−3522.

    WANG Yadong,ZHAO Lijuan,ZHANG Meichen. Research on self-adaptive height adjustment control strategy of shearer[J]. Journal of China Coal Society,2022,47(9):3505−3522.
    [6]
    辛红宝,杨忠印. 不同齿座安装角度的螺旋滚筒端盘模态分析[J]. 机械工程与自动化,2018,1(2):105−107.

    XIN Hongbao,YANG Zhongyin. Modal analysis on screw drum end plate in different tooth holder mounting angles[J]. Mechanical Engineering & Automation,2018,1(2):105−107.
    [7]
    田 震,高 珊,李 晋,等. 采煤机振动特性研究[J]. 制造业自动化,2019,41(4):30−35.

    TIAN Zhen,GAO Shan,LI Jin,et al. Study on vibration characteristics of shearer[J]. Manufacturing Automation,2019,41(4):30−35.
    [8]
    杨琳琳,张 闯. 螺旋滚筒的非线性动态特性分析[J]. 中国重型装备,2013,19(2):37−39.

    YANG Linlin,ZHANG Chuang. Analysis on nonlinear vibration of spiral drum in operation[J]. China Heavy Equipment,2013,19(2):37−39.
    [9]
    王海舰. 煤岩界面多信息融合识别理论与实验研究[D]. 阜新:辽宁工程技术大学,2017:57–59.

    WANG Haijian. Theoretical and experimental study on coal-rock interface identification based on multi information fusion[D]. Fu xin:Liaoning Technical University,2017:57–59.
    [10]
    陈洪月,杨辛未,毛 君,等. 滚筒实验载荷采煤机斜切工况下振动特性分析[J]. 振动测试与诊断,2018,38(2):240−247,414.

    CHEN Hongyue,YANG Xinwei,MAO Jun,et al. Vibration characteristics analysis of shearer under oblique cut on drum test load[J]. Vibration test and diagnosis,2018,38(2):240−247,414.
    [11]
    赵丽娟,杨世杰,张海宁,等. 基于DEM-MFBD双向耦合技术的采煤机摇臂壳体疲劳寿命预测[J/OL].煤炭科学技术:1−7[2024-03-29]. https://doi.org/10.13199/j.cnki.cst.2022-1908.

    ZHAO Lijuan,YANG Shijie,ZHANG Haining,et al. Fatigue life prediction of shearer rocker shell based on DEM–MFBD bidirectional coupling technology[J/OL]. Coal Science and Technology,1−7[2024-03-29]. https://doi.org/10.13199/j.cnki.cst.2022-1908.
    [12]
    金 鑫. 采煤机螺旋滚筒截割含夹矸煤岩双向耦合作用机理及磨损特性研究[D]. 阜新:辽宁工程技术大学,2020:42–51.

    JIN Xin. Study on the two-way coupling mechanism and wear characteristics of shearer drum cutting coal-rock with gangue[D]. Fuxin:Liaoning Technical University,2020:42–51.
    [13]
    ZHAO Lijuan,ZHANG Meichen,JIN Xin. Construction and application of a high precision 3D simulation model for geomechanics of the complex coal seam[J]. Scientific reports,2021,11(10):21374−21387.
    [14]
    张 强,刘 伟,张润鑫,等. 分离式螺旋钻具截割与输送协同优化研究[J]. 煤炭科学技术,2023,51(11):179−189.

    ZHANG Qiang,LIU Wei,ZHANG Runxin,et al. Research on collaborative optimization of cutting and conveying of separated auger drill[J]. Coal Science and Technology,2023,51(11):179−189.
    [15]
    李 曼,郑思雨,刘浩东,等.采煤机滚筒高度测量传感器工作环境磁场仿真与屏蔽研究[J]. 煤炭科学技术,2022,50(8):204-209.

    LI Man,ZHENG Siyu,LIU Haodong,et al.Study on magnetic field simulation and shielding design of shearer drum height measurement sensor working environment [J]. Coal Science and Technology,2022,50(8):204-209.
    [16]
    李明昊,赵丽娟,乔 捷. 薄煤层采煤机截割部齿轮疲劳可靠性分析[J]. 山西焦煤科技,2022,46(3):10−13.

    LI Minghao,ZHAO Lijuan,QIAO Jie. Fatigue reliability analysis of gears in cutting section of shearer for thin coal seam[J]. Shanxi Coking Coal Science & Technology,2022,46(3):10−13.
    [17]
    TIAN Xinhao. Dynamic simulation for system response of gearbox including localized gear faults[D]. Canada Alberta:University of Alberta,2004:33–41.
    [18]
    张 振,陈春俊,孙 琦. 双齿根裂纹下的齿轮啮合刚度劣化特性研究[J]. 中国测试,2020,46(5):127−133.

    ZHANG Zhen,CHEN Chunjun,SUN Qi. Research on gear stiffness degradation characteristics of gear with double root cracks[J]. China Measurement & Test,2020,46(5):127−133.
    [19]
    曹东江,尚 鹏,赵 阳. 基于Matlab的渐开线变位直齿轮时变啮合刚度计算分析[J]. 机械传动,2022,46(5):100−107.

    CAO Dongjing,SHANG Peng,ZHAO Yang. Calculation and analysis of modified gear time-varying meshing stiffness based on matlab[J]. Mechanical drive,2022,46(5):100−107.
    [20]
    汪 峰,李春清,刘章军,等. 考虑附加刚度的黏滞阻尼器–斜拉索参数振动模型及控制分析[J]. 振动与冲击,2020,39(22):183−191.

    WANG Feng,LI Chunqing,LIU Zhangjun,et al. Parametric vibration model for a viscous damper-cable system considering the effect of additional stiffness[J]. Journal of Vibration and Shock,2020,39(22):183−191.
    [21]
    张美晨,赵丽娟,王雅东. 基于CPS感知分析的煤岩截割状态识别系统[J]. 煤炭学报,2021,46(12):4071−4087.

    ZHANG Meichen,ZHAO Lijuan,WANG Yadong. Recognition system of coal-rock cutting state based on CPS perception analysis[J]. Journal of China Coal Society,2021,46(12):4071−4087.
    [22]
    谢玲芳,孟令军. 基于Zynq的振动信号采集及频谱分析[J]. 仪表技术与传感器,2020,23(11):116−119,126. doi: 10.3969/j.issn.1002-1841.2020.11.024

    XIE Lingfang,MENG Lingjun. Vibration signal acquisition and spectrum analysis based on Zynq[J]. Instrument Technique and Sensor,2020,23(11):116−119,126. doi: 10.3969/j.issn.1002-1841.2020.11.024
    [23]
    同晓荣. 基于短时傅里叶时频分析的声信号盲分选仿真系统研究[J]. 系统仿真学报,2019,31(2):353−359.

    TONG Xiaorong. Blind separation simulation system of sound signals based on time-frequency analysis of short time fourier transformation[J]. Journal of System Simulation,2019,31(2):353−359.
    [24]
    万显荣,谢德强,易建新,等. 基于STFT谱图滑窗相消的微动杂波去除方法[J]. 雷达学报,2022,11(5):794−804. doi: 10.12000/JR22157

    WAN Xianrong,XIE Deqiang,YI Jianxin,et al. Microdoppler clutter removal method based on the cancelation of sliding STFT spectrogram[J]. Journal of Radars,2022,11(5):794−804. doi: 10.12000/JR22157
    [25]
    文立堃,郭金星,任 航,等. 基于相似理论的采煤机滚筒截割煤岩仿真分析[J]. 煤矿机械,2019,40(9):81−84.

    WEN Likun,GUO Jinxin,REN Hang,et al. Simulation analysis of coal rock cutting by shearer drum based on similarity theory[J]. Coal Mine Machinery,2019,40(9):81−84.
    [26]
    赵丽娟,范思民,刘晓东. 基于相似理论的采煤机调高机构优化设计[J]. 机械设计,2017,34(5):94−98.

    ZHAO Lijuan,FAN Simin,LIU Xiaodong. Optimization design of coal mining height-regulating mechanism based on similarity theory[J]. Machine design,2017,34(5):94−98.
    [27]
    赵丽娟,赵名扬. 相似理论在采煤机螺旋滚筒结构设计中的应用[J]. 机械科学与技术,2018,37(1):63−69.

    ZHAO Lijuan,ZHAO Mingyang. Similarity theory application in structure design of shearer drum[J]. Mechanical Science and Technology for Aerospace Engineering,2018,37(1):63−69.
  • Cited by

    Periodical cited type(6)

    1. 刘昕宇,常映辉,陈明军,张小峰. 半煤岩掘锚一体机滚筒截割性能研究. 煤炭工程. 2025(02): 208-217 .
    2. 罗晨旭,高君毫,曾嘉玮,王登科,卢多,陈聪. 新型PDC钻头切削齿破岩仿真实验研究. 煤炭工程. 2025(04): 218-224 .
    3. 李博,刘备,张鹏,夏蕊,王学文,赵婷婷,冯云田. 双尺度粗粒化离散元方法及煤散料试验验证. 煤炭科学技术. 2024(03): 225-235 . 本站查看
    4. 王宏伟,郭军军,梁威,耿毅德,陶磊,李进. 采煤机滚筒工作性能优化研究. 工矿自动化. 2024(04): 133-143 .
    5. 业巧云. 采煤机螺旋滚筒工作性能优化分析. 山东煤炭科技. 2024(07): 93-97 .
    6. 王宏伟,郭军军,梁威,耿毅德,陶磊,李进. 采煤机滚筒载荷特性研究与预测. 矿业研究与开发. 2024(09): 176-185 .

    Other cited types(0)

Catalog

    Article views (92) PDF downloads (32) Cited by(6)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return