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中南大学学报(自然科学版)

Journal of Central South University

第51卷    第6期    总第310期    2020年6月

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文章编号:1672-7207(2020)06-1565-10
基于能耗效率的SiCp/Al复合材料切削参数多目标优化
王进峰,潘丽娟,邢迪雄,丁海民

(华北电力大学 能源动力与机械工程学院,河北 保定,071003)

摘 要: 为了提高加工质量,降低切削过程中的能源消耗,开展SiCp/Al复合材料切削加工参数的多目标优化研究。首先,确立以刀尖圆弧半径、切削深度、进给量、切削速度和刀具主偏角为输入参数,以最小表面粗糙度和最大功率系数为优化目标的优化方案。然后,通过仪器采集表面粗糙度、切削力和功率的实验数据,基于加权灰色关联和最小二乘拟合方法进行多目标优化,建立多目标预测模型。最后,利用主效应分析法来确定加工参数对功率系数、表面粗糙度和多目标模型的影响。研究结果表明:多目标预测模型能够获得最优参数组合,优化后可显著提高加工质量和功率系数。

 

关键字: 功率系数;表面粗糙度;多目标参数优化;复合材料

Multi-objective optimization of cutting parameters on turning SiCp/Al composites based on energy efficiency
WANG Jinfeng, PAN Lijuan, XING Dixiong, DING Haimin

School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China

Abstract:To improve the machining quality and decrease the energy consumption for material cutting, cutting experiments of SiCp/Al composites were carried out to optimize the cutting parameters, Firstly, an optimization scheme was established, in which the nose radius, depth of cut, feed rate, cutting speed and the approach angle were the processing parameters, and the minimal surface roughness and the maximal power coefficient were the optimization objectives. Secondly, the experimental data of surface roughness, cutting force and power were collected by the experimental instruments. Based on the weighted grey relation and the least squares fitting method, the multi-objective prediction model was established. Finally, the impacts of processing parameters on power coefficient, surface roughness and multi-objective model wre determined using the main effect analysis approach. The results show that the model can obtain the optimal parameter combination, and can significantly improve the processing quality and power coefficient after optimization.

 

Key words: power coefficient; surface roughness; multi-objective parameters optimization; composite material

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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