面向绿色高效制造的铣削工艺参数多目标优化

摘要/Abstract

摘要： 为了实现数控机床的绿色高效制造，考虑加工过程中刀具寿命和零件表面质量的实际约束条件，建立了以能量效率最高、碳排放最低和材料去除率最高为目标的多目标优化模型。通过设计面中心复合试验获取试验数据，采用信噪比方法将不同要求的优化目标转换成同要求的信噪比，使用基于组合权重的灰色关联分析法将多目标优化转化为单目标优化问题，基于响应曲面法建立关联度与工艺参数的二阶关系模型,应用量子遗传算法对优化模型进行求解。最后通过试验验证了该多目标优化模型的有效性。

关键词: 绿色高效, 能量效率, 碳排放, 灰色关联, 响应曲面法, 量子遗传算法

Abstract: In order to realize CNC machine green high-performance manufacturing, a multi-objective optimization model with the highest energy efficiency, the lowest carbon emissions and the highest material removal rate was established by considering the actual constraint conditions of tool life and surface quality. The face centered composite experiment was designed to obtain experimental data and the signal to noise ratio methods were used to convert the different requirements of the optimization objectives into the same signal to noise ratio, the grey correlation analysis method based on combined weights was used to transform the multi-objective optimization into a single objective optimization problem. The second order relation model of the relational degree and processing parameters was established based on response surface method, the optimization model was solved by quantum genetic algorithm. The effectiveness of the proposed method was verified by experiments.

Key words: green high-performance, energy efficiency, carbon emission;grey correlation, response surface method, quantum genetic algorithm

中图分类号:

TH16

邓朝晖1,2;符亚辉1,2;万林林1,2;张华1,2. 面向绿色高效制造的铣削工艺参数多目标优化[J]. 中国机械工程.

DENG Zhaohui1,2;FU Yahui1,2;WAN Linlin1,2;ZHANG Hua1,2. Multi Objective Optimization of Milling Process Parameters for Green High-performance Manufacturing[J]. China Mechanical Engineering.

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