摘要
为提高机架螺纹连接寿命,运用弹塑性接触有限元方法对拉杆连接螺纹进行强度分析,结合参数化建模,建立考虑牙间均载和应力峰值的多目标优化模型,采用径向基函数(RBF)神经网络方法和带精英策略的非支配排序遗传算法(NSGA-Ⅱ)求解。结果表明:牙侧角约为15°时,牙间轴向载荷分布不均匀率减小13.6%,等效应力峰值减小6.9%,第一主应力峰值减小11.5%。
For improving the serving life of the threaded connection,an elastic-plastic contact finite element method was used for analyzing the stress distribution of the connecting threads.After that,the parametric modeling technique was used for establishing the multi-objective optimization model where the load distribution uniform and the stress peak values were considered.This model was then solved by the radial basis function(RBF)neural network method and the elitist non-dominated sorting GA(NSGA-Ⅱ).The numerical results indicate that compare with the original design,the non-uniform rates of load distribution between the teeth in the optimized design are reduced by 13.6%,and the maximum of equivalent stresses is dropped by 6.9%,and the peak values of the first principal stress are cut down by 11.5%.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2017年第17期2024-2028,共5页
China Mechanical Engineering
基金
福建省高端装备数字化设计与制造创新项目(036681)
福建省自然科学基金资助项目(2016J01227
2017J01692)
关键词
螺纹连接
多目标优化
有限元分析
遗传算法
threaded connection
multi-objective optimization
finite element analysis(FEA)
genetic algorithm(GA)