基于响应面模型的连杆轻量化研究

Lightweight design of connecting rod based on response surface model

针对传统优化方法在精度和效率方面存在的不足,提出了基于响应面模型的结构优化方法。以液压滚切剪的连杆机构为研究对象,利用超拉丁试验设计选择合适的设计变量,结合结构有限元分析,在保证刚度、强度的前提下,以连杆的整体质量为目标函数,建立多项式响应面模型,然后利用遗传算法对所建立的模型进行优化求解,得出最佳的参数组合。结果表明,优化后的零件在重量上比原结构减轻了25.41%。证明了该方法的有效性。

To solve the low accuracy and efficiency problems in conventional structural optimization,a response surface model（RSM）-based optimization method was put forward.Taking the connecting rod of hydraulic rolling shear as the case example,the proper design variables were chose by using Latin hypercube experimental design.In the premise of enough structural strength and stiffness,apolynomial RSM was built by using the mass of connecting rod as the objective function.The best parameter combination was achieved by using Genetic Algorithm（GA）to optimize the model.The results show that the weight of the connecting rod decreases by 25.41% compared with the original structure,which proves the effectiveness of this method.