曲轴车削刀具磨损因素交互效应与优化
Interaction Effect and Optimization of Tool Wear Factors in Crankshaft Turning
王艳平 1莫秋云 2李乐 1林升垚 3王思远1
作者信息
- 1. 桂林电子科技大学 机电工程学院,广西 541004
- 2. 桂林电子科技大学 机电工程学院,广西 541004;桂林电子科技大学 广西制造系统与先进制造技术重点实验室,广西 541004
- 3. 桂林福达股份有限公司,广西 541004
- 折叠
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.
Abstract
To mitigate tool wear effectively and improve machining efficiency as much as possible,the sig-nificance 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 interac-tion effect was fitted.Based on the NSAG-Ⅱ algorithm,the cutting parameters are used as design varia-bles,and the tool wear regression equation and the machining efficiency equation are used as multi-objec-tive 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 numeri-cal simulation result does not exceed 2%,which can effectively reduce tool wear.
关键词
曲轴车削/刀具磨损/交互效应/NSAG-Ⅱ算法Key words
crankshaft turning/tool wear/interaction effect/NSAG-Ⅱ algorithm引用本文复制引用
基金项目
桂林福达曲轴有限公司委托项目(CD22111X)
出版年
2024
NETL
NSTL
维普
万方数据