6061铝合金铣削工艺参数多目标优化

唐超兰; 谢义

doi:10.12052/gdutxb.200048

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6061铝合金铣削工艺参数多目标优化

综合研究 | 更新时间：2026-05-27

- 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
- 广东工业大学学报 2020年37卷第5期页码：87-93
- 作者机构：
  
  广东工业大学机电工程学院,广东,广州,510006
- 作者简介：
  
  唐超兰(1969–)，女，教授，主要研究方向为金属材料压力加工技术，E-mail：tangchl@gdut.edu.cn
- 基金信息：
  
  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)
- DOI：10.12052/gdutxb.200048
  中图分类号： TH161.1
- 网络首发：2020-09-17，
  
  纸质出版：2020
- 稿件说明：
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唐超兰, 谢义. 6061铝合金铣削工艺参数多目标优化[J]. 广东工业大学学报, 2020, 37(5): 87-93.

Tang Chao-lan, Xie Yi. A Multi-objective Optimization of Milling Parameters for 6061 Aluminum Alloy[J]. 2020, 37(5): 87-93.
唐超兰, 谢义. 6061铝合金铣削工艺参数多目标优化[J]. 广东工业大学学报, 2020, 37(5): 87-93. DOI： 10.12052/gdutxb.200048.

Tang Chao-lan, Xie Yi. A Multi-objective Optimization of Milling Parameters for 6061 Aluminum Alloy[J]. 2020, 37(5): 87-93. DOI： 10.12052/gdutxb.200048.

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12 000 ~ 13 000 r·min

–1

径向进给量0.19 ~ 0.21 mm

进给速度1 272~1 300 mm·min

–1

轴向进给量6~8 mm

刀具直径4 mm。

Abstract

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-II algorithm. 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 of 0.19~0.21 mm

feed speed of 1272~1300 mm·min

–1

axial feed of 6~8 mm

and tool diameter of 4 mm.

关键词

Keywords

references

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