复杂煤层条件下采煤机破煤过程的可靠性研究

以有限元理论与刚柔耦合多体动力学为基础,利用ANSYS/LS-DYNA软件建立了复杂煤层条件下螺旋滚筒的煤岩耦合模型,得到了不同工况下螺旋滚筒受到的冲击载荷以及煤岩的塑性变形分布规律;并找出了截齿在工作过程中的应力分布规律。基于LS-DYNA提取的滚筒载荷文本,通过ADAMS软件对采煤机整机刚柔耦合虚拟样机模型进行动力学仿真分析,发现了采煤机壳体与行星架的应力分布。结合神经网络技术,以不同工况下采煤机关键零件的等效应力值作为神经网络训练样本,获得在关键零件应力值最小时的采煤机牵引速度的最优值。分析结果为采煤机螺旋滚筒的结构设计及其截割性能的提高提供了重要参考。

Study on Reliability of Shearer's Coal Breaking Process Under Complex Coal Seam Conditions

Based on the finite element theory and rigid-flexible coupled multibody dynamics, the coal-rock coupling model of spiral drum under complicated coal seam conditions was established by ANSYS/LS-DYNA software. The impact loads on the spiral drum and the deformation and distribution rules of the coal rock under different working conditions were obtained, the stress distribution rules of the pick during the working process were also obtained. Based on the roll load text extracted by LS-DYNA, the dynamic simulation analysis of rigidflexible coupled virtual prototype model of the shearer was carried out by using ADAMS software, and the stress distribution of the shearer shell and the planet carrier was found out. Combined with the neural network technology, the equivalent stress values of key parts of shearer under different working conditions are taken as training samples of neural network, and the optimal value of shearer traction speed when the stress of key components is the smallest is obtained. The analysis results provide an important reference for the structural design of shearer spiral drum and the improvement of its cutting performance.