基于S形试件五轴数控机床动态性能劣化评价  

Evaluation of dynamic performance deterioration of five-axis CNC machine tool based on S-shape specimens

作　　者：韩凤霞 王红军[2,3] 邱城[1] 李连玉[4] HAN Fengxia;WANG Hongjun;QIU Cheng;LI Lianyu(China Academy of Machinery Science and Technology,Beijing 100044,CHN;School of Mechanical and Electrical Engineering,Beijing Information Science and Technology University,Beijing 100192,CHN;Key Laboratory of Modern Measurement and Control Technology,Ministry of Education,Beijing 100192,CHN;NC Machining Workshop,Chendu Aircraft Industrial(Group)Co.,Ltd.,Chengdu 610091,CHN)

机构地区：[1]机械科学研究总院,北京100044 [2]北京信息科技大学,北京100192 [3]北京信息科技大学现代测控技术教育部重点实验室,北京100192 [4]成都飞机工业(集团)有限责任公司数控加工厂,四川成都610091

出　　处：《制造技术与机床》2019年第12期50-54,61,共6页Manufacturing Technology & Machine Tool

基　　金：国家科技重大专项(2015ZX04001002)

摘　　要：针对五轴机床性能劣化特征提取不理想的问题,提出一种基于S形试件机床动态性能劣化的多维度评价模型。首先,标准化S试件的加工工况,定期对机床进行S试件铣削以采集机床的特征信号。构建完整集合经验模态分解与功率谱熵相结合的信号处理模型以识别不同的动态性能状态;同时,联合三维希尔伯特谱和边际谱重心频率对机床的动态劣化程度进行直观显示和量化分析。最后,在五轴加工中心上进行了实验验证。实验结果表明,采用多维度的评价体系可以大大提高五轴机床动态性能劣化的辨识度。Aiming at the unsatisfactory extraction of deteriorating characteristics of five-axis CNC,a multidimensional evaluation model of dynamic performance deterioration based on S-shaped specimens was proposed.Firstly,Processing conditions of S specimens were standardized.Milling experiments of S-specimens were carried out periodically to collect the characteristic signals of machine tools.The signal processing model combining complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)and power spectral entropy was constructed to identify different dynamic performance states.At the same time,the dynamic deterioration degree of machine tools was visually displayed and quantitatively analyzed by three-dimensional Hilbert spectrum and marginal spectral center of gravity frequency.Finally,the experimental verification was carried out on a five-axis CNC.The results show that the identification degree of dynamic performance deterioration can be greatly improved by using multi-dimensional evaluation system.

关 键 词：标准S试件 性能劣化 完整集合经验模态分解 功率谱熵 

分 类 号：TH165.3[机械工程—机械制造及自动化]