In-process adaptive milling for large-scale assembly interfaces of a vertical tail driven by real-time vibration data

作     者：Xiong ZHAO Lianyu ZHENG Lu YU Xiong ZHAO;Lianyu ZHENG;Lu YU

作者机构：School of Mechanical Engineering and AutomationBeihang UniversityBeijing 100191China C919 DivisionShanghai Aircraft Manufacturing Co.LtdShanghai 201324China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2022年第35卷第5期

页      面：441-454页

核心收录：

学科分类：08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Natural Science Foundation of China(No.51775024) the MIIT(Ministry of Industry and Information Technology)Key Laboratory of Smart Manufacturing for High-end Aerospace Products Program of China 

主　　题：Adaptive milling Assembly interfaces Data-driven Time-varying frequency response function Vertical tail 

摘      要：Assembly interfaces,the joint surfaces between the vertical tail and rear fuselage of a large aircraft,are thin-wall *** machining quality are seriously restricted by the machining *** address this problem,an in-process adaptive milling method is proposed for the large-scale assembly interface driven by real-time machining vibration *** this context,the milling operation is first divided into several process steps,and the machining vibration data in each process step is separated into some data ***,based on the real-time machining vibration data in each data segment,a finite-element-unit-force approach and an optimized space–time domain method are adopted to estimate the time-varying in-operation frequency response functions of the assembly *** FRFs are in turn employed to calculate stability lobe ***,the three-dimensional stability lobe diagram considering material removal is acquired via interpolation of all stability lobe ***,to restrain milling chatter and resonance,the cutting parameters for next process step,e.g.,spindle speed and axial cutting depth,are optimized by genetic ***,the proposed method is validated by a milling test of the assembly interface on a vertical tail,and the experimental results demonstrate that the proposed method can improve the machining quality and efficiency of the assembly interface,i.e.,the surface roughness reduced from 3.2μm to 1.6μm and the machining efficiency improved by 33%.