用户名: 密码: 验证码:
复合叠层材料制孔过叠层阶段声发射分析
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Analysis of Acoustic Emission Characteristics During Drilling Contact with Composite Laminated Material
  • 作者:谢小明 ; 冷晟 ; 徐青 ; 管晨丞
  • 英文作者:XIE Xiaoming;LENG Sheng;XU Qing;GUAN Chencheng;College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics;
  • 关键词:叠层材料 ; 刀具磨损 ; 声发射 ; 小波包能量
  • 英文关键词:laminated material;;tool wear;;acoustic emission;;wavelet packet energy
  • 中文刊名:ZZHD
  • 英文刊名:Machine Building & Automation
  • 机构:南京航空航天大学机电学院;
  • 出版日期:2019-02-20
  • 出版单位:机械制造与自动化
  • 年:2019
  • 期:v.48;No.260
  • 基金:南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20160517);; 中央高校基本科研业务费专项资金
  • 语种:中文;
  • 页:ZZHD201901009
  • 页数:3
  • CN:01
  • ISSN:32-1643/TH
  • 分类号:36-38
摘要
复合叠层材料钻孔加工时,伴随着刀具的磨损,会产生丰富的声发射信号。刀具在加工叠层材料接触面时会引起声发射信号突变,为研究该过程信号的突变规律,采用硬质合金钻头与碳纤维复合材料-铝合金叠层板件开展了一系列实验,采集制孔过程中刀具的声发射信号,对信号进行了时频域多分辨率分析。研究表明,在刀具从复合材料加工至铝合金过程中,信号强度逐渐降低,高频段成份逐渐增加。
        When drill heads drill holes on composite laminated material,acoustic emission signal is generated. When the tool is brought into contact with the laminated material surface,AE signal suddenly changes. To study its law,this paper makes a series of experiments on hard alloy tools and carbon fiber composite material-aluminum alloy laminated pieces and collects the acoustic emission signal in the process,and then analyzes the multi resolution of its time-frequency domain. The result shows that in the process of the composite materials and aluminum alloy processing,the signal intensity decreases gradually and the high frequency component increases gradually.
引文
[1]Liang S Y,Dornfeld D A. Tool Wear Detection Using Time Series Analysis of Acoustic Emission[J]. Journal of Engineering for Industry,1989,111(3):147-149.
    [2]Tansel I,Trujillo M,Nedbouyan A,et al. Micro-end-milling—III. Wear estimation and tool breakage detection using acoustic emission signals. Int J Mach Tools Manuf[J]. International Journal of Machine Tools&Manufacture,1998,38(12):1449-1466.
    [3]陈晓智,李蓓智,杨建国.基于小波分析的声发射刀具状态判析[J].传感器与微系统,2006,25(6):19-21.
    [4]Gómez M P,Hey A M,Ruzzante J E,et al. Tool wear evaluation in drilling by acoustic emission[J]. Physics Procedia,2010,3(1):819-825.
    [5]关山.基于声发射信号多特征分析与融合的刀具磨损分类与预测技术[D].吉林:吉林大学,2011.
    [6]徐科军.信号分析与处理[M].北京:清华大学出版社,2006.
    [7]唐向宏.时频分析与小波变换[M].北京:科学出版社,2008.
    [8]Liang S Y,Dornfeld D A. Tool Wear Detection Using Time Series Analysis of Acoustic Emission[J]. Journal of Engineering for Industry,1989,111(3):147-149.
    [9]Maia L H A,Abrao A M,Vasconcelos W L,et al. A new approach for detection of wear mechanisms and determination of tool life in turning using acoustic emission[J]. Tribology International,2015,92:519-532.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700