CF/PEEK单向板纵-扭超声振动辅助铣削性能及工艺优化
Longitudinal-torsional ultrasonic vibration-assisted milling performance and process optimization of CF/PEEK unidirectional plates
王福吉 1葛连恒 1胡晓杭 1鞠鹏程 1付饶1
作者信息
- 1. 大连理工大学 机械工程学院,大连 116024;高性能精密制造全国重点实验室,大连 116024
- 折叠
摘要
碳纤维/聚醚醚酮(Carbonfiber/polyetheretherketone,CF/PEEK)因其轻质高强且易于回收和修复,而广泛应用于航空航天、交通运输等高端装备领域制造中.但其强脆-软韧双组分结构给CF/PEEK的加工带来了挑战.本文引入了纵-扭超声振动辅助铣削加工方法,利用其高脉冲和间断接触的特点对CF/PEEK单向板进行铣削加工,对比纵-扭超声振动辅助铣削(Ultrasonic vibration-assisted milling,UVAM)和常规铣削(Conventional milling,CM)中加工参数对输出特性(切削力、切削温度、表面粗糙度和损伤缺陷)的影响.结果表明,UVAM下切削力和表面粗糙度分别降低了 4％～54.1％和15.8％～66.9％;同时,UVAM方法对延长刀具寿命、降低累计温度和抑制损伤缺陷具有显著作用.利用NSGA-Ⅱ算法建立了以延长刀具寿命、减小表面粗糙度和表面缺陷为目标的加工参数多目标优化模型,得到最优解,并得到实验验证,模型误差在2.24％～22.2％.
Abstract
Carbon fiber/polyetheretherketone(CF/PEEK)is widely used in the high-end equipment manufacturing such as aerospace and transportation,due to its lightweight,high strength,and easy to recyclability.However,its strong brittle-soft ductile dual-component structure poses challenges for machining.In this study,the longitudinal-torsional ultrasonic vibration-assisted milling(UVAM)method was introduced,utilizing its high pulse and intermit-tent contact characteristics to mill CF/PEEK unidirectional laminates.The effects of machining parameters on out-put characteristics(cutting force,cutting temperature,surface roughness,and damage defects)were compared between UVAM and conventional milling(CM).The results show that UVAM reduces cutting force and surface roughness by 4％-54.1％and 15.8％-66.9％,respectively.Additionally,the UVAM method significantly extends tool life,reduces cumulative temperature,and suppresses damage defects.A multi-objective optimization model for machining parameters is established using the NSGA-Ⅱ algorithm,targeting extended tool life,reduced surface roughness,and minimized surface defects.The optimal solution is obtained and experimentally validated,with model errors ranging from 2.24％to 22.2％.
关键词
CF/PEEK/超声振动/铣削加工/加工损伤/多目标优化Key words
CF/PEEK/ultrasonic vibration/milling/processing damage/multi-objective optimization引用本文复制引用
基金项目
国家自然科学基金(52090053)
大连市科技创新基金项目(2021RD08)
出版年
2024
NETL
NSTL
万方数据