基于LabVIEW的6063铝合金裂纹扩展状态的声发射分析
Analysis of Acoustic Emission Signal of 6063 Aluminum Alloy's Crack Growth Based on LabVIEW
摘 要
基于LabVIEW软件平台, 绘制了 6063铝合金缺口试样低周疲劳试验的声发射特征参数统计图和累积图。通过与断口分析结果进行对比, 划分出AE信号对应裂纹扩展的三个阶段, 并且发现两次主裂纹合并对应着三个高强度脉冲信号。通过对裂纹扩展三个阶段的撞击数进行波形分析和频谱对比分析, 得出6063铝合金低周疲劳的声发射信号特征频率为225~250 kHz和350~500 kHz。
裂纹合并
裂纹扩展
Acoustic emission testing
Crack merge
Crack growth
Abstract
Based on the software platform of LabVIEW, the fracture analysis of specimens of 6063 aluminum alloy under low cycle fatigue was made, the statistical chart and cumulative chart of Acoustic Emission characteristic parameter in fatigue test was plotted. Three stages of Acoustic Emission signal corresponding to fatigue fracture was made, it founded that twice main crack combination corresponds to three high-intensity impulse signals. The Acoustic Emission waveform for three stages of the fatigue fracture specimens was compared with the spectrum, it concluded that Acoustic Emission signal characteristic frequency of crack development of 6063 aluminum alloy were 225~250 kHz and 350~500 kHz.
中图分类号 TG115.28
所属栏目 试验研究
基金项目
收稿日期 2008/3/12
修改稿日期
网络出版日期
作者单位点击查看
备注韩路(1983-), 男, 硕士研究生, 主要研究方向为工程材料与结构的结构强度、完整性与可靠性。
引用该论文: HAN Lu,XIE Li-Yang. Analysis of Acoustic Emission Signal of 6063 Aluminum Alloy's Crack Growth Based on LabVIEW[J]. Nondestructive Testing, 2009, 31(4): 280～283
韩路,谢里阳. 基于LabVIEW的6063铝合金裂纹扩展状态的声发射分析[J]. 无损检测, 2009, 31(4): 280～283
共有人对该论文发表了看法，其中：
人认为该论文很差
人认为该论文较差
人认为该论文一般
人认为该论文较好
人认为该论文很好
参考文献
【1】Ennaceur C, Laksimi A, Herve C, et al. Monitoring crack growth in pressure vessel steels by the acoustic emission technique and the method of potential difference[J]. Inter. Journal of Pressure Vessels and Piping,2006,83（3）: 197-204.
【2】Yoneda K, Ye J. Crack propagation and acoustic emission behavior of silver-added dy123 bulk superconductor[J]. Physica C,2006,445: 371-374.
【3】Roberts T M, Talebzadeh M. Fatigue life prediction based on crack propagation and acoustic emission count rates[J]. Journal of Constructional Steel Research,2003,59(6): 679-694.
【4】Kim Ki Bok, Yoon DongJin, Jeong JungChae. Determining the stress intensity factor of a material with an artificial neural network from acoustic emission measurements[J]. NDT&E Inter,2004,37(6): 423-429.
【5】李光海, 刘正义.基于声发射技术的金属高频疲劳监测[J].中国机械工程,2004,15(13): 1205-1209.
【6】杨剑锋, 李 良, 张 斌.活塞杆疲劳裂纹声发射监测的实验研究[J].无损探伤,2007,31(4): 21-23.
【7】邵永波, 朱祖铭, 尹万全.基于声发射测试的钢丝疲劳损伤过程[J].钢铁,2000,35(3): 52-55.
【8】吴克勤, 耿荣生, 谢里阳.某型飞机起落架收放试验过程中疲劳损伤的声发射监测[J].无损检测,2006,28(3): 113-115.
【9】邓 焱, 王 磊.LabVIEW7.1测试技术与仪器应用[M].北京: 机械工业出版社,2004.
【10】张爱平.LabVIEW入门与虚拟仪器[M].北京: 电子工业出版社,2004.
【11】杨明纬.声发射检测[M].北京: 机械工业出版社,2005.
【12】钟群鹏, 赵子华.断口学[M].北京: 高等教育出版社,2006.
【2】Yoneda K, Ye J. Crack propagation and acoustic emission behavior of silver-added dy123 bulk superconductor[J]. Physica C,2006,445: 371-374.
【3】Roberts T M, Talebzadeh M. Fatigue life prediction based on crack propagation and acoustic emission count rates[J]. Journal of Constructional Steel Research,2003,59(6): 679-694.
【4】Kim Ki Bok, Yoon DongJin, Jeong JungChae. Determining the stress intensity factor of a material with an artificial neural network from acoustic emission measurements[J]. NDT&E Inter,2004,37(6): 423-429.
【5】李光海, 刘正义.基于声发射技术的金属高频疲劳监测[J].中国机械工程,2004,15(13): 1205-1209.
【6】杨剑锋, 李 良, 张 斌.活塞杆疲劳裂纹声发射监测的实验研究[J].无损探伤,2007,31(4): 21-23.
【7】邵永波, 朱祖铭, 尹万全.基于声发射测试的钢丝疲劳损伤过程[J].钢铁,2000,35(3): 52-55.
【8】吴克勤, 耿荣生, 谢里阳.某型飞机起落架收放试验过程中疲劳损伤的声发射监测[J].无损检测,2006,28(3): 113-115.
【9】邓 焱, 王 磊.LabVIEW7.1测试技术与仪器应用[M].北京: 机械工业出版社,2004.
【10】张爱平.LabVIEW入门与虚拟仪器[M].北京: 电子工业出版社,2004.
【11】杨明纬.声发射检测[M].北京: 机械工业出版社,2005.
【12】钟群鹏, 赵子华.断口学[M].北京: 高等教育出版社,2006.
相关信息
