1. 辽宁工程技术大学机械工程学院
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赵丽娟, 靳予记, 黄凯. 随机载荷下截割部输出轴可靠性分析[J]. 机械强度, 2019,41(4):864-870.
ZHAO LiJuan, JIN YuJi, HUANG Kai. RELIABILITY ANALYSIS OF OUTPUT SHAFT OF CUTTING EDGE UNDER RANDOM LOAD[J]. 2019,41(4):864-870.
赵丽娟, 靳予记, 黄凯. 随机载荷下截割部输出轴可靠性分析[J]. 机械强度, 2019,41(4):864-870. DOI: 10.16579/j.issn.1001.9669.2019.04.016.
ZHAO LiJuan, JIN YuJi, HUANG Kai. RELIABILITY ANALYSIS OF OUTPUT SHAFT OF CUTTING EDGE UNDER RANDOM LOAD[J]. 2019,41(4):864-870. DOI: 10.16579/j.issn.1001.9669.2019.04.016.
以"MG2×100/455-BWD"新型薄煤层采煤机截割部为工程对象,深入分析输出轴的载荷情况,以应力—强度分布的可靠性干涉理论为基础,考虑载荷作用次数,建立各关键零件故障模式下的动态可靠性模型,计算其可靠度并进行分析。以Matlab编译采煤机载荷样本、Pro/E实体建模、Ansys生成关键零件柔性体,通过专用接口Mechanism/Pro导入Adams建立采煤机截割部的刚柔耦合模型并对其进行动力学仿真,得到不同工况下关键零件的应力信息,以工况参数为神经网络训练样本,将神经网络和虚拟样机技术结合对其他工况下的应力进行预测,减少了虚拟样机的仿真时间和工作量,提高了其动态可靠性,同时为采煤机输出轴设计提供可靠的参数依据。
With the "MG2×100/455-BWD" new type of thin coal seam shearer cutting project as the object, its key parts which include the output shaft, shell, carrier load situation have been depth analyzed. Considering the number of loads, the dynamic reliability model of each key part failure mode which Based on the reliability interference theory of stress-intensity distribution is established to calculate and analyze its reliability. By Compiling miner load samples with MATLAB, building Solid modeling with Pro/E, generating key parts Flexible body with ANSYS, the rigid and flexible coupling model of the shearing part of the shearer was established and the simulation was carried out by using the special interface MECHANISM/Pro to import ADAMS to get the stress information of the key parts under different working conditions. Taking condition parameters as neural network training samples, the neural network and the virtual prototyping technology are combined to predict the stress under other working conditions, which reduces the simulation time and the workload of the virtual prototype. The research in the paper provides the basis for the design of the shearer, improves its dynamic reliability, shortens the product design cycle, has important theoretical significance and high application value.
输出轴可靠性分析协同仿真动态可靠性神经网络
Output shaft reliability analysisCollaborative simulationDynamic reliabilityNeural Networks
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