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Wear analysis and performance optimization of drum blade in mining coal gangue with shearer
Engineering Failure Analysis ( IF 4.4 ) Pub Date : 2021-06-18 , DOI: 10.1016/j.engfailanal.2021.105542
Xunan Liu , Changqing Du , Xin Fu , Han Zhao , Jianzhuo Zhang , Xinle Yang

Drum blades play an important role in the process of coal seam cutting. The blade wear failure will directly reduce the production efficiency of the shearer, and it is difficult to repair, and the replacement cost is high. Therefore, the shearer blade wear is analyzed, and its performance optimization is crucial. The Archerd model of EDEM (Engineering Discrete Element Method) software is used to study the wear of MG2 × 55/250BW thin seam shearer drum blade. The coupling model of the drum with different traction speeds, drum rotational speeds, blade spiral angles and coal walls with different gangue firmness coefficients are established respectively. The wear law of the blade is obtained through simulation analysis. Combined with the analysis of actual working conditions, a multi-objective optimization model was constructed based on blade wear and careful consideration of coal loading rate, productivity, cutting area, and cutting specific energy consumption. The optimal drum structure parameters and kinematic parameters were obtained through a genetic algorithm. The results show that: when the drum cuts coal with a firmness coefficient of 3.5 under the following condition: the spiral angle is 11.56°, the rotational speed is 80.65 r/min, and traction speed is 4.23 m/min, the coal loading rate is 41.65%, the productivity is 206.37 t/h, the maximum cutting area is 1217.0 mm2, the cutting specific energy consumption is 0.8612 kW·h/m3, and the blade wear reaches a minimum of 0.25416 nm. This method takes the wear amount as the main factor and comprehensively considers the drum performance to optimize the parameters of the spiral drum, which has strong theoretical and guiding significance for the design of the shearer drum and coal mining.



中文翻译:

采煤机采煤矸石滚筒叶片磨损分析及性能优化

鼓形刀片在煤层切割过程中起着重要作用。刀片磨损故障会直接降低采煤机的生产效率,且维修难度大,更换成本高。因此,对采煤机叶片磨损进行分析,其性能优化至关重要。采用EDEM(Engineering Discrete Element Method)软件的Archerd模型研究MG2×55/250BW薄层煤层采煤机滚筒叶片的磨损情况。分别建立了不同牵引速度、不同滚筒转速、不同叶片螺旋角和不同矸石硬度系数的煤壁的耦合模型。通过仿真分析得到叶片的磨损规律。结合实际工况分析,基于叶片磨损,仔细考虑装煤率、生产率、切割面积和切割比能耗,构建了多目标优化模型。通过遗传算法得到最佳滚筒结构参数和运动学参数。结果表明:滚筒在以下条件下切煤时坚固系数为3.5:螺旋角11.56°,转速80.65 r/min,牵引速度4.23 m/min,装煤率为 41.65%,生产率为 206.37 t/h,最大切割面积为 1217.0 mm如图2所示,切割比能耗为0.8612 kW·h/m 3,刀片磨损最小为0.25416 nm。该方法以磨损量为主要因素,综合考虑滚筒性能来优化螺旋滚筒的参数,对采煤机滚筒的设计和采煤具有很强的理论和指导意义。

更新日期:2021-07-14
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