摘要
通过对无砟轨道轨距施工流程进行研究与分析,设计了一款用于无砟轨道的轨距调整器,并以轨距调整器上的夹爪为对象提出了一种基于响应面法与非支配排序遗传算法相结合的轻量化优化设计方法。建立夹爪三维模型,并对其进行有限元分析;然后利用Design-Expert软件设计试验方案,建立夹爪设计变量与最大等效应力、质量的二阶响应面模型;最后,利用非支配排序遗传算法对响应面模型进行迭代优化,得到Pareto最优解集。经结果显示,优化后的夹爪质量减轻了96%,最大等效应力减小了1185 MPa,达到了轻量化的目的。
Based on the research and analysis of the construction process of ballastless track gauge,a gauge adjustment device for ballastless track is designedA lightweight optimization design method based on the combination of response surface method and non-dominated sorting genetic algorithm is proposedThe three-dimensional model of gripper is established,and the finite element analysis is carried outThen,the experiment scheme is designed by design-Expert,and the second-order response surface model of grip-jaw Design variables,maximum equivalent stress and mass is established Finally,the response surface model is iteratively optimized by using the non-dominated sorting genetic algorithm,and the Pareto optimal solution set is obtainedThe results show that the weight of the optimized gripper is reduced by 96%,and the maximum equivalent stress is reduced by 1185MpaAnd the purpose of lightweight is achieved.
作者
朱毅然
余朝刚
ZHU Yiran;YU Chaogang(School of Urban Rail Transit,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《机械设计与研究》
CSCD
北大核心
2021年第1期195-199,共5页
Machine Design And Research
关键词
轨距调整
夹爪
响应面法
非支配排序遗传算法
轻量化
gauge adjustment
gripper
response surface method
non dominated sorting genetic algorithm
lightweight
