掘进机回转台螺栓组多目标优化设计  

Multiple Targets Optimized Design of Roadheader Gyration Platform Bolt-set based on PSO

作　　者：赵丽娟[1] 李明昊[1] 

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000

出　　处：《机械科学与技术》2017年第7期1048-1054,共7页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(51674134;51304105);国家科技支撑项目(2007BAF12B01)资助

摘　　要：为提高掘进机的动态可靠性,建立其刚柔耦合虚拟样机模型,基于破岩理论,结合实际工况,利用项目组开发的"纵轴式掘进机截割头辅助设计及载荷计算软件"获得了掘进机的载荷文件,通过ADAMS仿真得到了回转台的应力云图,基于可靠性理论构造了疲劳寿命-可靠度隶属函数,利用NSOFT软件对回转台进行疲劳寿命可靠性分析。以螺栓组的可靠度作为训练样本,利用粒子群算法(PSO)对回转台进行优化设计,得到了最优的回转台螺栓组参数。结果表明,优化后的回转台最大应力值降低了31.669%,最小疲劳寿命由1.706×10~3提高至2.487 4×10~6次,满足设计要求。In order to improve the dynamic reliability of roadheader, based on rock cutting mechanism and combined with the actual working condition, the roadheader load files were obtained using the ＂ vertical axis roadheader design and loads analysis software＂. The equivalent stress contour of the gyration platform was obtained with the ADAMS software, and the fatigue life-reliability degree membership function was established based on the reliability theory. The fatigue life analysis of gyration platform was performed by using NSOFT software. With the reliability of the bolt-set as the training sample, the optimization design was conducted for the gyration platform using particle swarm optimization（PSO） , and the optimal parameters of gyration platform bolt-set was obtained. The results show that the maximum equivalent stress of gyration platform was reduced by 31.669%, the minimum fatigue life was increased from 1.706×10^3 to 2.487 4×10^6, which meet the design requirements.

关 键 词：掘进机 回转台 疲劳寿命 粒子群 可靠性 多目标优化设计 

分 类 号：TD421.62[矿业工程—矿山机电]