Abstract: To research the coordination optimization between machining energy and machining performance for hard whirlwind milling of screw,the multi-objective optimization method considering specific energy consumption,surface roughness and surface residual stress was proposed.According to the Box-Behnken experiments,specific energy consumption,surface roughness and surface residual stress were modeled with Response Surface Methodology (RSM) respectively.Based on the above models,the multi-objective optimization model was established by taking machining parameters of whirlwind milling as input variables,and specific energy consumption,surface roughness and surface residual stress as optimization objectives.The Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was used to solve the multi-objective optimization model,and the effectiveness of optimization method was demonstrated by comparing the experimental data with optimization results.

Key words: hard whirlwind milling, machining energy, machining performance, multi-objective optimization problem

摘要： 为了进行丝杠硬态旋风铣削下工艺能耗与工艺性能协同优化研究,提出一种同时考虑切削比能、表面粗糙度和表层残余应力的多目标优化方法。基于Box-Behnken试验设计,采用响应曲面法对丝杠硬态旋铣的切削比能、表面粗糙度和表层残余应力进行建模,进一步构建了以丝杠硬态旋铣工艺参数为变量、以低能耗和高性能为优化目标的多目标优化模型。采用改进型非支配排序遗传算法对该模型进行求解,并通过试验数据和优化结果的比较论证了本文优化方法的有效性。

关键词: 硬态旋风铣削, 工艺能耗, 工艺性能, 多目标优化