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| In-situ Damage Monitoring of Aluminum Alloy Based on Acoustic Emission and Bispectrum Analysis |
| ZHU Rong-hua, GANG Tie, WAN Chu-hao |
| State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China |
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Abstract This work was performed on 7N01 aluminum alloy which used in the body of high-speed train and damage was monitored based on acoustic emission (AE) and digital image technology during three-point bending failure of 7N01 aluminum alloy, conventional AE parameters and bispectrum analysis were used to study the characteristic of AE signals during the crack initiation and unstable propagation of 7N01 aluminum alloy. The result shows that AE energy and centroid frequency (CF) were effective indicators to predict the crack initiation of 7N01 aluminum alloy. Bispectrum contour map of AE signals shows the coupling relationship of the two frequency components which makes it easy to identify different stages during three-point bending of 7N01 aluminum alloy. The digital images of damage evolution from monitoring the notch tip region of 7N01 sample verify the prediction of AE signals. The results indicate that AE technique provides the basis for predicting the initiation of micro-crack.
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Received: 09 July 2012
Published: 20 May 2013
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| [1] 杨明纬. 声发射检测[M]. 北京: 机械工业出版社, 2005. 1-6.[2] BELLENGER F, MAZILLE H, IDRISSI H. Use of acoustic emission technique for the early detection of aluminum alloys exfoliation corrosion[J]. NDT & E International, 2002, 35(6): 385-392.[3] KORDATOS E Z, AGGELIS D G, MATIKAS T E. Monitoring mechanical damage in structural materials using complimentary NDE techniques based on thermography and acoustic emission[J]. Composites: Part B, 2012, 43(6):2676-2686.[4] MUKHOPADHYAY C K, JAYAKUMAR T, BALDEV R, et al. The influence of notch on the acoustic emission generated during tensile testing of nuclear grade AISI type 304 stainless steel[J]. Materials Science and Engineering:A, 2000, 276(1-2): 83-90.[5] ROY H, PARIDA N, SIVAPRASAD S, et al. Acoustic emissions during fracture toughness tests of steels exhibiting varying ductility[J]. Materials Science and Engineering: A, 2008, 486(1-2):562-571.[6] MUKHOPADHYAY C K, JAYAKUMAR T, RAJ B, et al. Acoustic emission-stress intensity factor relations for tensile deformation of notched specimens of AISI type 304 stainless steel[J]. Materials Science and Engineering: A, 2000, 293(1-2):137-145.[7] CHOI N S, TAKAHASHI K, HOSHINO K. Characteristics of acoustic emission during the damage process in notched short-fibre-reinforced thermoplastics[J]. NDT & E International, 1992, 25(6):271-278.[8] YANG L, ZHOU Y C, MAO W G, et al. Real-time acoustic emission testing based on wavelet transform for the failure process of thermal barrier coatings[J]. Applied Physics Letters, 2008, 93(23): 231906-231911.[9] BOIRCHAK M, FARROW I R, BOND I P, et al. Acoustic emission energy as a fatigue damage parameter for CFRP composites[J]. International Journal of Fatigue, 2007, 29(3): 457-470.[10] GB/T18182—2000, 金属压力容器声发射检测及结果评价方法[S].[11] 耿荣生, 沈功田, 刘时风. 基于波形分析的声发射信号处理技术[J]. 无损检测, 2002, 24(6):257-261. GENG Rong-sheng, SHEN Gong-tian, LIU Shi-feng. Acoustic emission signal processing technique based on waveform analysis [J]. Nondestructive Testing, 2002, 24(6):257-261.[12] 李光海, 刘时风. 基于小波分析的声发射源定位技术[J]. 机械工程学报, 2004, 40(7):136-140. LI Guang-hai, LIU Shi-feng. Technique of acoustic emission source locating based on wavelet analysis[J]. Chinese Journal of Mechanical Engineering, 2004, 40(7): 136-140.[13] 陈仲生. 基于Matlab 7.0 的统计信息处理[M]. 长沙:湖南科学技术出版社, 2005. 195-207.[14] PIOTRKOWSKI R, ENRIQUE C, ANTOLINO G. Wavelet power, entropy and bispectrum applied to AE signals for damage identification and evaluation of corroded galvanized steel[J]. Mechanical Systems and Signal Processing, 2009, 23(2): 432-445. |
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2013, Vol. 0 
