陈良骥,魏子森.7075-T651铝合金铣削参数与刀具几何参数的多目标同步优化方法[J].表面技术,2022,51(4):263-274, 384.
CHEN Liang-ji,WEI Zi-sen.Multi-objective Synchronous Optimization Method for Milling Parameters and Tool Geometric Parameters of 7075-T651 Aluminum Alloy[J].Surface Technology,2022,51(4):263-274, 384 |
| 7075-T651铝合金铣削参数与刀具几何参数的多目标同步优化方法 |
| Multi-objective Synchronous Optimization Method for Milling Parameters and Tool Geometric Parameters of 7075-T651 Aluminum Alloy |
| 投稿时间：2021-04-27 修订日期：2021-10-15 |
| DOI：10.16490/j.cnki.issn.1001-3660.2022.04.027 |
| 中文关键词: 铣削参数 刀具几何参数 铣削力 铣削温度 多目标优化 |
| 英文关键词:milling parameters tool geometric parameters milling force milling temperature multi-objective optimization |
| 基金项目:广西自然科学基金(2021GXNSFAA220019);国家自然科学基金(52075110) |
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| 中文摘要: |
| 目的 降低铣削力和铣削热，以减小7075-T651铝合金工件的加工变形，并提高金属去除率。方法 提出一种面向2类参数(铣削参数和刀具几何参数:转速、进给量、径向切深、轴向切深、前角、后角)旨在实现多个目标(铣削力、铣削温度和金属去除率)同步优化的方法。基于偏最小二乘法回归模型和7075- T651铝合金工件铣削有限元仿真模型，建立关于2类参数的铣削力、铣削温度及金属去除率的函数关系，并采用8种典型多目标优化算法进行求解。结果 通过Pareto前沿曲面的可视化和HV性能指标，筛选出适合解决本文问题的优化求解算法，获得的部分铣削参数，转速为5 966.30 r/min，进给量为0.08 mm/z，径向切深为4.53 mm，轴向切深为4.99 mm。刀具几何参数分别为前角17.95°、后角2.00°，此时对应的铣削力为232.12 N、铣削温度为22.56 ℃、金属去除率为33.08 mm3/min。结论 上述优化结果可实现较低铣削力和铣削温度以及较高金属去除率等综合控制目标，对7075-T651铝合金工件铣削加工时降低工件变形量和提高加工效率等方面具有实际应用价值。 |
| 英文摘要: |
| This paper aims to reduce the milling force and milling heat in order to reduce the deformation of the 7075-T651 aluminum alloy workpiece and improve the metal removal rate. In this paper, a method for simultaneous optimization of two kinds of parameters (milling parameters and tool geometric parameters:rotation speed, feed rate, radial depth of cut, axial depth of cut, rake angle and clearance angle) was proposed, which could achieve multiple objectives (milling force, tool milling temperature and metal removal rate). Based on the partial least squares regression model and the finite element simulation results of milling 7075-T651 aluminum alloy workpiece, the functional relationship model between milling force and tool milling temperature and metal removal rate of two types of parameters were established, and 8 typical multi-objective optimization algorithms were used to solve the above models. By visualizing the Pareto front surface and HV performance index, the optimal solution algorithm that can solve the problems in this paper was screened. The optimal solution values of milling parameters and tool geometric parameters were obtained, such as rotational speed 5 966.30 r/min, feed 0.08 mm/z, radial cutting depth 4.53 mm, axial cutting depth 4.99 mm and rake angle 17.95°, clearance angle 2.00° for tool geometric parameters. At this time, the corresponding milling force is 232.12 N, tool milling temperature 3 is 22.56 ℃, and the metal removal rate is 33.08 mm3/min). The optimization results can achieve comprehensive control objectives such as lower milling force and milling temperature and higher metal removal rate, and have practical application value in reducing workpiece deformation and improving machining efficiency during milling of 7075-T651 aluminum alloy workpiece. |
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