田立勇, 李文政, 隋然. 基于多传感器的采煤机滑靴受力检测系统研究[J]. 煤炭学报, 2020, 45(4). DOI: 10.13225/j.cnki.jccs.2019.0501
引用本文: 田立勇, 李文政, 隋然. 基于多传感器的采煤机滑靴受力检测系统研究[J]. 煤炭学报, 2020, 45(4). DOI: 10.13225/j.cnki.jccs.2019.0501
TIAN Liyong, LI Wenzheng, SUI Ran. Research on force detection system of shearer sliding boots based on multi-sensor[J]. Journal of China Coal Society, 2020, 45(4). DOI: 10.13225/j.cnki.jccs.2019.0501
Citation: TIAN Liyong, LI Wenzheng, SUI Ran. Research on force detection system of shearer sliding boots based on multi-sensor[J]. Journal of China Coal Society, 2020, 45(4). DOI: 10.13225/j.cnki.jccs.2019.0501

基于多传感器的采煤机滑靴受力检测系统研究

Research on force detection system of shearer sliding boots based on multi-sensor

  • 摘要: 采煤机实际运行过程中工况环境恶劣,滑靴作为连接采煤机与刮板输送机的重要部件,在剧烈的非线性冲击载荷下极易损坏,直接影响采煤机工作效率,降低煤矿井下生产效益。为研究斜切工况下采煤机滑靴力学特性,以MG500/1130-WD型电牵引采煤机为研究对象,构建斜切工况下采煤机整机空间力学模型。根据煤岩截割理论,结合煤岩性质与采煤机结构参数,利用Matlab求解计算采煤机滚筒截割载荷与滑靴各接触载荷,提出一种基于平滑靴销轴传感器、导向滑靴销轴传感器、导向滑靴销轴拉力传感器等多传感器融合的采煤机滑靴受力检测系统,并依托国家能源煤矿采掘机械装备研发试验中心进行现场实验验证。实验结果表明:采煤机工作过程中,同种滑靴受力大小基本相同,后侧滑靴所受载荷略大于前侧滑靴所受载荷,平滑靴支撑力大于导向滑靴支撑力且导向滑靴轴向载荷明显大于竖直方向载荷。实验过程中滑靴最大载荷出现在斜切进刀阶段,受刮板输送机位姿、落煤等因素影响,实验值均大于理论值。利用Solidworks建立滑靴三维模型,将现场实验数据导入ANSYS对滑靴进行有限元仿真分析,得到采煤机滑靴最大斜切受载下的应力云图与位移云图,为滑靴结构优化提供基础。

     

    Abstract: The working conditions of a shearer are normally harsh during the actual mining operation. As an important part connecting the shearer and the scraper conveyor,the sliding shoes are easily damaged under the severe nonlinear impact load,directly affecting the working efficiency of the shearer and reducing the coal mine production efficiency. In order to study the mechanical characteristics of the shearer’s sliding shoes under the miter cutting condition,this pa- per took the MG500 / 1130-WD electric haulage shearer as the research object,and constructed the space mechanics model of the shearer under the miter cutting condition. According to the coal rock cutting theory,combined with the properties of coal and the structural parameters of the shearer,the cutting load of the shearer drums and the contact load of the sliding shoes were calculated using Matlab. A multi-sensor force detection system for shearer’ s sliding boots based on smooth shoe pin sensor,guide shoe pin shaft sensor and guide shoe pin tension sensor was proposed,and the experiment was conducted on the experiment platform of the National Energy Coal Mining Machinery Equip- ment R&D Test Center. The experimental result showed that during the working process of the shearer,the force of the same type of sliding shoes were basically the same,the load on the rear sliding shoe was slightly larger than the load on the front sliding shoe,the supporting force of the smoothing shoe was greater than that of the guiding sliding shoe,and the axial load of the guiding sliding shoe was significantly greater than the vertical load. During the experiment,the maximum load of the sliding shoes appeared in the oblique cutting process,which was affected by the position of the scraper conveyor and the falling coal. The experimental values were greater than the theoretical value. The 3D models of the sliding shoe were built by Solidworks,and the field experimental data was imported into ANSYS for the finite el- ement simulation analysis. The stress and displacement nephograms of the shearer’s sliding shoes under maximum ob- lique shear load were obtained,which provided the basis for the optimization of the sliding shoe structure.

     

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