摘要
针对高速切削过程中参数关系复杂且动态变化不规律导致刀具磨损、能耗较高以及加工质量等问题,提出一种基于人工智能算法和有限元分析的高速切削参数优化方法。该方法基于YG8钨钴合金刀具,以材料为AISI-4340合金钢的加工零件为例进行有限元分析,通过NSGA-Ⅲ进行多目标优化,同时进行实际加工验证。实验表明,该方法在不同主轴转速以及进给量条件下,平均加工能耗较其他方法降低了8.0%~33.0%,平均质量误差较其他方法降低了15.0%~19.0%,平均刀具寿命较其他方法延长了3.0%~12.0%。
In order to solve the problems of tool wear,high energy consumption and machining quality caused by complex parameter relationship and irregular dynamic change in the process of high-speed cutting,a high-speed cutting parameter optimization method based on artificial intelligence algorithm and finite element analysis is proposed.It introduces the method based on YG8 tungsten cobalt alloy tool and AISI-4340 alloy steel machined parts as examples,carries out finite element analysis,obtains multi-objective optimization by NSGA-Ⅲ,and shows the actual machining verification.Experiments show that the average machining energy consumption of this method is reduced by 8.0%~33.0%,the average mass error is reduced by 15.0%~19.0%compared with other methods,and the average tool life is increased by 3.0%~12.0%compared with other methods under different spindle speeds and feeds.
作者
甘代伟
Gan Daiwei(Department of Automobile Engineering,Shaanxi Institute of Technology,Shaanxi Xi'an,710300,China)
出处
《机械设计与制造工程》
2025年第8期24-28,共5页
Machine Design and Manufacturing Engineering
基金
陕西国防工业职业技术学院2025年度科研重点项目(Gfy25-08)。
关键词
高速切削
有限元分析
NSGA-Ⅲ
数控加工
参数优化
high-speed cutting
finite element analysis
NSGA-Ⅲ
CNC machining
parameter optimization
