摘要
以某型轿车后车门为研究对象,针对其刚度不符合企业标准的问题进行优化。以车门的关键部件厚度为设计变量,通过拉丁超立方抽样,选择60组样本进行计算。采用灵敏度分析,筛选出5个关键变量,使用径向基函数建立响应面模型。以各工况刚度达标为约束,以质量最小为目标,通过模拟退火遗传算法进行优化。优化后,车门各工况刚度符合标准,且质量有所减小。
The rear door of a car was taken as the research object, and its stiffness was optimized to deal with the problem which did not meet the enterprise standard. The thickness of the key components of the door was taken as the design variable, through Latin hypercube sampling, 60 groups of samples were selected for calculation. Five key variables were selected by sensitivity analysis. The response surface model was established by using a radial basis function. Finally, optimization based on simulated annealing genetic algorithm,the stiffness of each working condition was constrained and the minimum weight was taken as the goal. After optimization, the stiffness of each working condition of the door met the standard, and the weight has been reduced.
作者
张帅龙
苏小平
李智
郭存涵
ZHANG Shuailong;SU Xiaoping;LI Zhi;GUO Cunhan(School of Mechanical and Power Engineering,Nanjing Tech University,Nanjing Jiangsu 211800,China)
出处
《汽车零部件》
2019年第11期1-4,共4页
Automobile Parts
关键词
刚度
拉丁超立方抽样
灵敏度
径向基函数
模拟退火遗传算法
Stiffness
Latin hypercube sampling
Sensitivity
Radial basis function
Simulated annealing genetic algorithms
