关键词: 高速滚齿加工, 工艺参数优化, 支持向量回归, 多目标蜻蜓算法

Abstract: To solve the problem of unsatisfactory processing effect under small number of historical cases,an optimization approach of cutting parameters was proposed based on Support Vector Regression (SVR) and Multi-Objective Dragonfly Algorithm (MODA).Gear hobbing objective function model was established.ε-SVR was chosen and the type of kernel function,penalty factor and slack variable were generated by MODA.The process parameters of spindle speed and feed rate were produced with ε-SVR.The function model was applied to calculate the target value that included machining quality,machining time,machining cost and environmental impact.The non-dominated solutions were obtained by using the Pareto optimal method in MODA.Once the termination condition was satisfied to obtain the ε-SVR parameters and the non-dominated solution sets (optimal process parameter sets).By comparing with the actual hobbing process,the feasibility of the method was verified;by comparing with the separate SVR and other algorithms,the proposed method had some advantages in the case of small samples.

Key words: high-speed gear hobbing, machining parameters optimization, support vector regression, multi-objective dragonfly algorithm