基于 RSM 和遗传算法的不锈钢切削参数优化

摘要

In order to improve the difficult machining material of stainless steel machining efficien-cy,orthogonal regression method is applied to design the central composite experimental program for 304 stainless steel turning hardened layer thickness based on the experimental data,prediction model is obtained with polynomial fitting response surface model.By using multi-island genetic al-gorithm to optimize cutting parameters combination under corresponding constraint value is ob-tained within the scope of the study.%为提高不锈钢的切削加工效率，运用正交回归设计方法设计了面向304不锈钢车削加工硬化层厚度的中心复合试验方案。以试验数据为基础，通过多项式响应面法（RSM）拟合得到其预测模型。采用多岛遗传算法进行面向已加工表面硬化层厚度的切削参数优化，在研究范围内得到约束条件下的最优切削参数组合。