摘要
为有效减缓刀具磨损并尽可能地提高加工效率,采用Box-Behnken响应面与多元非线性回归相结合的方法,分析切削参数效应的显著性及交互作用机理,并拟合含有交互效应的刀具磨损回归方程;基于NSAG-Ⅱ算法,以切削参数为设计变量,刀具磨损回归方程和加工效率方程作为多目标优化函数,优化切削参数以实现减小刀具磨损速度的目的。结果表明,进给量与主轴转速间存在显著的正向交互效应,建立的刀具磨损回归方程在95%的置信区间内的最大拟合差值不超过0.000 6,优化结果与数值模拟结果的误差不超过2%,可有效降低刀具磨损。
To mitigate tool wear effectively and improve machining efficiency as much as possible,the significance and interaction mechanism of cutting parameter effects were analyzed by combining Box-Behnken response surface and multivariate nonlinear regression,and the regression equation of tool wear with interaction effect was fitted.Based on the NSAG-Ⅱ algorithm,the cutting parameters are used as design variables,and the tool wear regression equation and the machining efficiency equation are used as multi-objective optimization functions to optimize the cutting parameters to achieve the purpose of reducing the tool wear speed.The results show that there is a significant positive interaction effect between feed rate and spindle speed.The maximum fitting difference of the established tool wear regression equation in the 95% confidence interval does not exceed 0.000 6,and the error between the optimization result and the numerical simulation result does not exceed 2%,which can effectively reduce tool wear.
作者
王艳平
莫秋云
李乐
林升垚
王思远
WANG Yanping;MO Qiuyun;LI Le;LIN Shengyao;WANG Siyuan(School of Mechanical and Electrical Engineering,Guilin University of Electronic Technology,Guangxi 541004,China;Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology,Guilin University of Electronic Technology,Guangxi 541004,China;Guilin Fuda Co.,Ltd.,Guangxi 541004,China)
出处
《组合机床与自动化加工技术》
北大核心
2024年第2期27-30,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
桂林福达曲轴有限公司委托项目(CD22111X)。
