6061铝合金铣削工艺参数多目标优化  

A Multi-objective Optimization of Milling Parameters for 6061 Aluminum Alloy

作　　者：唐超兰[1] 谢义 Tang Chao-lan;Xie Yi(School of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学机电工程学院,广东广州510006

出　　处：《广东工业大学学报》2020年第5期87-93,共7页Journal of Guangdong University of Technology

基　　金：教育部高等教育司资助项目(201802148011);国家863计划资助项目(2013AA031301);广州市重大攻关科技计划项目(201802020011)。

摘　　要：铝合金加工工艺参数的选择是影响铝合金零件加工效率和加工质量、降低制造成本、提高设备使用寿命的关键因素。以6061铝合金为研究对象,对铝合金铣削工艺参数多目标优化进行了研究。以主轴转速、进给速度、轴向进给量、径向进给量和刀具直径为实验因素,进行了五因素五水平铣削正交实验,采用遗传算法优化的反向传播神经网络预测模型建立铣削参数与表面粗糙度之间的非线性关系。在此基础上,建立了以材料去除率和加工表面粗糙度为优化目标的多目标铣削参数优化模型,使用基于NSGA-Ⅱ算法开发的gamultiobj函数对优化模型进行求解。结果表明,优化后的6061铝合金高速铣削工艺参数范围为主轴转速12000~13000 r·min^-1,径向进给量0.19~0.21 mm,进给速度1272~1300 mm·min^-1,轴向进给量6~8 mm,刀具直径4 mm。The selection of parameters in aluminum alloy processing is a key factor that affects the efficiency and quality of aluminum alloy parts processing,reducing manufacturing costs and improving equipment service life.Multi-objective optimization of the parameters of 6061 aluminum alloy milling process was studied.With the five process parameters of spindle speed,feed speed,axial feed,radial feed and tool diameter as experimental factors,a five-factor and five-level orthogonal experiment of 6061 aluminum alloy high-speed milling was performed.The experimental results were analyzed by GA-BP prediction model to establish the non-linear relationship between milling parameters and surface roughness.On this basis,a multi-objective optimization model was developed aiming at the maximum material removal rate and the lowest surface roughness,and the model was solved by the gamultiobj function based on the NSGA-Ⅱalgorithm.The results show that the optimized process parameters of 6061 aluminum alloy high-speed milling range at the spindle speed of 12000~13000 r·min^-1,with radial feed of0.19~0.21 mm,feed speed of 1272~1300 mm·min^-1,axial feed of 6~8 mm,and tool diameter of 4 mm.

关 键 词：6061铝合金 正交试验 铣削 工艺参数 多目标优化 

分 类 号：TH161.1[机械工程—机械制造及自动化]