Abstract
This paper uses multiple specimens, mechanical loading setups and nondestructive evaluation (NDE) techniques to reliably identify crack initiation in aluminum alloy specimens and quantify the associated Acoustic Emission (AE) activity. Compact Tension (CT) and Middle Tension (MT) specimens were tested until crack initiation was verified using optical methods while simultaneously recording AE, Infrared Thermography (IRT) and Digital Image Correlation (DIC). The specimens were loaded under tension and fatigue loading conditions with the prime focus being on identifying, in these controlled experiments, the most sensitive AE features to crack initiation. The changes of such AE features at the time instance of crack initiation was cross-validated by the complementary optical metrology data. In addition to the load drop accompanying the ductile failure process, the synchronous use of the optical NDE techniques provided the opportunity to associate the mechanical behavior of the material to the AE recordings observed during testing. The identified changes in AE features were combined with extensive signal processing which revealed trends that provide strong evidence on the existence of a dominant and quantifiable trend of AE activity which was noted to be directly associated with crack initiation. The onset of cracking in both types of aluminum specimen tested was noted with an increase in the peak frequency and partial powers which was used to define a novel AE damage parameter and shown to robustly identify crack initiation in both tensile and fatigue loading.
This is a preview of subscription content, access via your institution.















References
Ritchie RO (1999) Mechanisms of fatigue-crack propagation in ductile and brittle solids. Int J Fract 100(1):55–83
Hanlon T, Kwon YN, Suresh S (2003) Grain size effects on the fatigue response of nanocrystalline metals. Scr Mater 49(7):675–680
Chan KS (2010) Roles of microstructure in fatigue crack initiation. Int J Fatigue 32(9):1428–1447
Zhang X et al (2009) Fail-safe design of integral metallic aircraft structures reinforced by bonded crack retarders. Eng Fract Mech 76(1):114–133
Fromme P, Sayir MB (2002) Detection of cracks at rivet holes using guided waves. Ultrasonics 40(1):199–203
Ihn J-B, Chang F-K (2004) Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics. Smart Mater Struct 13(3):609
Gui Yun T et al (2005) Multiple sensors on pulsed eddy-current detection for 3-D subsurface crack assessment. Sensors J IEEE 5(1):90–96
Chady T, Enokizono M, Sikora R (1999) Crack detection and recognition using an eddy current differential probe. Magn IEEE Trans on 35(3):1849–1852
Klepka A et al (2012) Nonlinear acoustics for fatigue crack detection–experimental investigations of vibro-acoustic wave modulations. Struct Health Monit 11(2):197–211
Parsons Z, Staszewski W (2006) Nonlinear acoustics with low-profile piezoceramic excitation for crack detection in metallic structures. Smart Mater Struct 15(4):1110
Zoughi R, Kharkovsky S (2008) Microwave and millimetre wave sensors for crack detection. Fatigue Fract Eng Mater Struct 31(8):695–713
Chin-Yung Y, Zoughi R (1994) A novel microwave method for detection of long surface cracks in metals. Instrum Meas IEEE Trans on 43(5):719–725
Zhang Y (2006) In situ fatigue crack detection using piezoelectric paint sensor. J Intell Mater Syst Struct 17(10):843–852
Wever M (1997) Listening to the sound of materials: acoustic emission for the analysis of material behavior. NDT E Int 30(2):99–106
Mba D, Rao RB (2006) Development of Acoustic Emission Technology for Condition Monitoring and Diagnosis of Rotating Machines; Bearings, Pumps, Gearboxes, Engines and Rotating Structures
Finlayson RD et al (2001) Health monitoring of aerospace structures with acoustic emission and acousto-ultrasonics. Insight-Wigston then Northampton- 43(3):155–158
Hazeli K et al (2013) In situ identification of twin-related bands near yielding in a magnesium alloy. Scr Mater 68(1):83–86
Meriaux J et al (2010) Identification of fretting fatigue crack propagation mechanisms using acoustic emission. Tribol Int 43(11):2166–2174
Chang H et al (2009) Acoustic emission study of fatigue crack closure of physical short and long cracks for aluminum alloy LY12CZ. Int J Fatigue 31(3):403–407
Kohn DH, Ducheyne P, Awerbuch J (1992) Acoustic emission during fatigue of Ti-6Al-4V: incipient fatigue crack detection limits and generalized data analysis methodology. J Mater Sci 27:3133–3142
Roberts TM, Talebzadeh M (2003) Acoustic emission monitoring of fatigue crack propagation. J Constr Steel Res 59:695–712
Roberts TM, Talebzadeh M (2003) Fatigue life prediction based on crack propagation and acoustic emission count rates. J Constr Steel Res 59:679–694
Ohtsu M, Okamoto T, Yuyama S (1998) Moment tensor analysis of acoustic emission for cracking mechanisms in concrete. ACI Struct J 95(2):87–95
Aggelis DG, Kordatos EZ, Matikas TE (2011) Acoustic emission for fatigue damage characterization in metal plates. Mech Res Commun 38(2):106–110
Dassios KG et al (2014) Crack growth monitoring in ceramic matrix composites by combined infrared thermography and acoustic emission. J Am Ceram Soc 97(1):251–257
Gutkin R et al (2011) On acoustic emission for failure investigation in CFRP: pattern recognition and peak frequency analyses. Mech Syst Signal Process 25(4):1393–1407
Huguet S et al (2002) Use of acoustic emission to identify damage modes in glass fibre reinforced polyester. Compos Sci Technol 62(10):1433–1444
Sause M et al (2012) Pattern recognition approach to identify natural clusters of acoustic emission signals. Pattern Recogn Lett 33(1):17–23
Aggelis D, Philippidis T (2004) Ultrasonic wave dispersion and attenuation in fresh mortar. NDT E Int 37(8):617–631
Qi G et al (1997) Discrete wavelet decomposition of acoustic emission signals from carbon-fiber-reinforced composites. Compos Sci Technol 57(4):389–403
Yang M et al (2003) Data fusion of distributed AE sensors for the detection of friction sources during press forming. J Mater Process Technol 139(1–3):368–372
Murasawa G et al. (2014) Inhomogeneous deformation twinning measurement using digital image correlation and acoustic emission. Exp Mech, p. 1–12
Cuadra J et al (2013) Damage quantification in polymer composites using a hybrid NDT approach. Compos Sci Technol 83:11–21
Sause MGR et al (2012) Quantification of failure mechanisms in mode-I loading of fiber reinforced plastics utilizing acoustic emission analysis. Compos Sci Technol 72(2):167–174
Acknowledgments
The authors would like to acknowledge the Office of Naval Research for the financial support (Award number N00014-13-1-0143) provided for the research reported in this article.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Vanniamparambil, P.A., Guclu, U. & Kontsos, A. Identification of Crack Initiation in Aluminum Alloys using Acoustic Emission. Exp Mech 55, 837–850 (2015). https://doi.org/10.1007/s11340-015-9984-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11340-015-9984-5