综采工作面刮板输送机煤流时空分布模型研究
Fully Mechanized Mining Face Scraper Conveyor Coal Flow Spatio-Temporal Distribution Model
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摘要: 综采工作面刮板输送机存在运载煤流分布不均、耗能高等问题,针对此,建立煤流时空分布模型,为刮板链的运行阻力计算、张紧力自适应调节以及链速自适应智能控制提供了依据。分析综采三机开采工艺,总结煤流装载规律,并结合实际装载流程,采用有限元方法建立煤流时空分布模型。建模流程如下:分析采煤机进刀工艺,总结煤流的三种装载方式及装载类型;依据各滚筒截割装载流程,计算不同工况煤流瞬时装载体积;分析刮板链与采煤机的运动机理,结合煤流瞬时装载体积,建立瞬时装载截面积计算模型;采用有限元方法将刮板输送机划分为有限单元格,依据煤流实际装载过程,将其分为两个步骤:煤流随刮板链移动、装载煤流叠加,根据装载位置、装载煤流长度和截面积可确定装载煤流的空间位置;结合综采三机实时工作参数,整合以上分析内容便可建立刮板输送机煤流时空分布模型。依据MG1000/2660-WD型滚筒采煤机和SGZ1200/2000型刮板输送机工作参数进行仿真实验,仿真结果在多个方面都验证了模型的合理性。通过对比井下和仿真结果表明:煤流时空分布模型能够很好的预测刮板输送机上煤流的分布状态,对计算刮板链负载阻力、调节运载煤流分布、实现链速自适应智能控制具有一定的参考价值。Abstract: In response to the challenges of non-uniform coal flow distribution and high energy consumption in scraper conveyors within fully mechanized mining faces, a spatial-temporal distribution model for coal flow has been established. This model serves as the foundation for calculating the operational resistance of the scraper chain, enabling adaptive tension force adjustments and intelligent control of chain speed. Leveraging an analysis of coal mining technology, the coal flow loading patterns have been summarized, and the finite element method is applied to create a temporal and spatial distribution model of coal flow. The modeling process unfolds as follows: an examination of the shearer's cutting process, the consolidation of three coal flow loading modes along with their respective loading conditions, and the calculation of instantaneous coal flow volumes under varying working conditions corresponding to the cutting loading process of each drum. The calculation model for instantaneous loading area under different working conditions is developed based on the analysis of the movement mechanism of the scraper chain and the shearer, considering the instantaneous coal flow volume. The finite element method is employed to partition the scraper conveyor into finite cells. Based on the actual coal flow loading process, this process unfolds in two steps: coal flow movement with the scraper chain and the superimposition of coal flow. The spatial position of the coal flow is determined based on the loading position, length, and cross-sectional area of the coal flow. By integrating the above analysis with real-time operating parameters from the three fully mechanized mining machines, a spatial-temporal distribution model for coal flow within the scraper conveyor is established. The model's rationality is verified through simulations utilizing working parameters from the MG1000/2660-WD roller shearer and SGZ1200/2000 scraper conveyor. A comparison of in situ and simulation results demonstrates that the temporal and spatial distribution model effectively predicts coal flow distribution on the scraper conveyor, providing valuable insights for calculating scraper chain load resistance, optimizing coal flow distribution, and realizing adaptive intelligent chain speed control.
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