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

作　　者：王福吉[1,2] 葛连恒 胡晓杭 鞠鹏程 付饶 WANG Fuji;GE Lianheng;HU Xiaohang;JU Pengcheng;FU Rao(School of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China;State Key Laboratory of High-performance Precision Manufacturing,Dalian 116024,China)

机构地区：[1]大连理工大学机械工程学院,大连116024 [2]高性能精密制造全国重点实验室,大连116024

出　　处：《复合材料学报》2024年第9期5053-5069,共17页Acta Materiae Compositae Sinica

基　　金：国家自然科学基金(52090053);大连市科技创新基金项目(2021RD08)。

摘　　要：碳纤维/聚醚醚酮(Carbon fiber/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%。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 longitudinaltorsional ultrasonic vibration-assisted milling(UVAM)method was introduced,utilizing its high pulse and intermittent contact characteristics to mill CF/PEEK unidirectional laminates.The effects of machining parameters on output 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 

分 类 号：TB332[一般工业技术—材料科学与工程]