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基于NSGA-Ⅱ算法的高速铣削参数多目标优化
Multi-objective Optimization of High-speed Milling Parameters Based on NSGA-Ⅱ Algorithm
【摘要】 采用正交试验法对3Cr2Mo模具钢进行高速铣削试验,建立了刀具磨损和表面粗糙度的预测模型。在此基础上,以生产效率最大、生产成本最小为目标建立优化模型,使用Matlab中以NSGA-Ⅱ算法为理论基础的多目标优化方法对其求解,得到了较优铣削参数。
【Abstract】 By using the orthogonal test methodology,high-speed milling experiments of 3Cr2Mo mold steel were performed. The forecasting model of cutter wear and surface roughness were established. On this basis,the optimization model was established based on the maximum production efficiency and the minimum production cost. Using the multi-objective optimization methodology in Matlab,which based on the NSGA-Ⅱ algorithmto solve it,and get the better milling parameters.
【关键词】 高速铣削;
NSGA-Ⅱ算法;
铣削参数;
多目标优化;
【Key words】 High-speed milling; NSGA-Ⅱ algorithm; Milling parameters; Multi-objective optimization;
【Key words】 High-speed milling; NSGA-Ⅱ algorithm; Milling parameters; Multi-objective optimization;
- 【文献出处】 机床与液压 ,Machine Tool & Hydraulics , 编辑部邮箱 ,2016年19期
- 【分类号】TG54
- 【被引频次】10
- 【下载频次】139