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.
出处
《机械科学与技术》
CSCD
北大核心
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
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
efficiency
reliability analysis
design
membership functions
computer software
MATLAB
particleswarm optimization(PSO)
multiobjective optimization
mesh generation