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。
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.
作者
王进峰
潘丽娟
邢迪雄
丁海民
WANG Jinfeng;PAN Lijuan;XING Dixiong;DING Haimin(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Baoding 071003,China)
出处
《中南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2020年第6期1565-1574,共10页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(51301068)
河北省自然科学基金资助项目(E2019502057,E2019502060)
河北省高等学校科学技术研究资助项目(Z2015127)
中央高校基本科研业务费专项资金资助项目(17MS148)。
关键词
功率系数
表面粗糙度
多目标参数优化
复合材料
power coefficient
surface roughness
multi-objective parameters optimization
composite material