| 钛合金车削过程中基于遗传算法的切削参数多目标优化 |
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| 引用本文： | 薛国彬,郑清春,胡亚辉,苏哩莉. 钛合金车削过程中基于遗传算法的切削参数多目标优化[J]. 工具技术, 2017, 51(1): 27-30. DOI: 10.3969/j.issn.1000-7008.2017.01.006 |
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| 作者姓名： | 薛国彬 郑清春 胡亚辉 苏哩莉 |
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| 作者单位： | 天津理工大学;天津市先进机电系统设计与智能控制重点试验室 |
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| 基金项目： | 天津市应用基础与前沿技术研究计划重点项目 |
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| 摘 要： | 通过正交试验法对钛合金TC4进行了车削试验并对试验数据处理,得到切削温度、表面粗糙度关于切削三要素的多元线性回归方程。以切削速度、进给量和背吃刀量为优化变量,以最低切削温度、最好表面粗糙度、最大材料去除率为目标构建了切削参数的多目标优化模型。利用MATLAB中基于遗传算法的多目标优化函数对优化模型进行求解,得到优化问题的Pareto最优解并加以分析。
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| 关 键 词： | 钛合金切削 多目标优化 遗传算法 |
Modeling and Solution of Cutting Parameters Optimization for Titanium Alloy Turning Machining |
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| Xue Guobin,Zheng Qingchun,Hu Yahui,Su Lili. Modeling and Solution of Cutting Parameters Optimization for Titanium Alloy Turning Machining[J]. Tool Engineering(The Magazine for Cutting & Measuring Engineering), 2017, 51(1): 27-30. DOI: 10.3969/j.issn.1000-7008.2017.01.006 |
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| Authors: | Xue Guobin Zheng Qingchun Hu Yahui Su Lili |
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| Abstract: | Taking the orthogonal experiment method during TC4 titanium alloy cutting tests before the experimental data processing,a multivariate linear regression equation can be proposed in which the three elements result in difference of cutting temperature and surface roughness.Cutting speed,feed rate and cutting depth as optimization variables can compose a multi-objective optimization model with aim to acquire the lowest cutting temperature,the best surface roughness,the highest material removal rate.Based on multi-objective optimization of genetic algorithm in MATLAB function to solve the optimization model,Pareto optimal solutions can be attained before analyzing. |
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| Keywords: | titanium alloy cutting process multi-objective optimization genetic algorithm |
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