典型文献
                Vibration signal-based chatter identification for milling of thin-walled structure
            文献摘要:
                    In high speed milling aeronautical part,tool condition monitoring(TCM)is very impor-tant,because it is prone to get a chatter owing to the low stiffness of thin-walled structures.And the TCM is key technology for automated machining.In this paper,aiming to chatter monitoring in thin-walled structure milling,a variational mode decomposition-energy distribution(VMD-ED)method is proposed to improve the identification accuracy.And a moving average root mean square-mean value(MARMS-MV)identification method and a variational mode decomposition-energy entropy(VMD-EE)identification method are also tested.Identification accuracy and com-puting time of the three methods are compared.The vibration signals collected from the spindle and worktable are also contrasted.The conducted experimental study shows that,the proposed VMD-ED method offers an identification method for chatter monitoring with greater sensitivity,better stability and less computing time,and mounting the vibration sensor on worktable is better than spindle for a chatter monitoring system.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        Wenping MOU;Shaowei ZHU;Zhenxi JIANG;Ge SONG
                    
                作者机构:
                    NC Machining Plant,Chengdu Aircraft Industrial(Group)Co.,Ltd.,Chengdu 610092,China
                文献出处:
                    
                引用格式:
                    
                        [1]Wenping MOU;Shaowei ZHU;Zhenxi JIANG;Ge SONG-.Vibration signal-based chatter identification for milling of thin-walled structure)[J].中国航空学报(英文版),2022(01):204-214
                    
                A类:
                MARMS,worktable
                B类:
                    Vibration,chatter,identification,milling,thin,walled,In,high,speed,aeronautical,part,tool,condition,monitoring,TCM,very,impor,tant,because,prone,get,owing,low,stiffness,structures,And,key,technology,automated,machining,this,paper,aiming,variational,mode,decomposition,energy,distribution,VMD,ED,proposed,improve,accuracy,moving,average,root,mean,square,value,MV,entropy,EE,also,tested,Identification,three,methods,compared,vibration,signals,collected,from,spindle,contrasted,conducted,experimental,study,shows,that,offers,greater,sensitivity,better,stability,less,computing,mounting,sensor,than,system
                AB值:
                    0.513598
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