Quantification of damage evolution in a 7075 aluminum alloy using an acoustic emission technique

Lugo, Marcos; Jordon, J.B.; Horstemeyer, M.F.; Tschopp, Mark A.; Harris, J.; Gokhale, A.M.

doi:10.1016/j.msea.2011.05.017

Cited by 36 publications

(18 citation statements)

References 18 publications

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“…Based on these results, in this study, the fine surface finish of 1200 grit would result in a higher density of cathodic intermetallic particles exposed at the surface, a lower surface rugosity and a higher susceptibility to localized corrosion. Similar results have been noted in other aluminum alloys such as AA 6061 and AA 7075 [32][33][34][35]. When large second phase inclusions were not present it appears the corrosion fatigue performance was determined by slip enhanced (anodic) dissolution around constituent particles as evidenced in the microstructure at high magnification ( Fig.…”

Section: Conventional 5083-35% Naclsupporting

confidence: 85%

A microscopic study on the corrosion fatigue of ultra-fine grained and conventional Al–Mg alloy

2015

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a b s t r a c tThe corrosion behavior of a nanocrystalline (NC)/ultrafine grained (UFG) Al-Mg based alloy was investigated and compared to its conventional counterpart 5083(H111). The corrosion fatigue (CF) was studied with respect to pit initiation, pit location and crack propagation as a function of environment. Scanning electron microscopy (SEM) with EDS was used to analyze the fracture surface of the failed specimen with respect to pitting characteristics, crack propagation and corrosion product. Load vs. cycles to failure was measured and S/N curves were generated for the UFG Al-Mg based alloy and the conventional counterpart 5083 in air and seawater.

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Section: Conventional 5083-35% Naclsupporting

confidence: 85%

A microscopic study on the corrosion fatigue of ultra-fine grained and conventional Al–Mg alloy

2015

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“…In order to reduce the noise effects, so-called filtering methods have been developed with various approaches [13,24,26,28,34,[42][43][44][45]. The methods can be classified into pre-and post-processes.…”

Section: Noise Reductionmentioning

confidence: 99%

“…While methods for estimating stable crack growth rate based on AE signals are well established, estimating crack damage at the smallest possible scale is most desirable. This idea has motivated researchers to better understand wave dynamics of AE signals within single crystals [18][19][20][21] and polycrystalline materials [11,12,15,[22][23][24][25][26][27][28][29][30] (see [31] for further discussion on past AE literature). From these studies, researchers concluded that AE activity is present during initial damage due to dislocation motion and microcracks, and various AE features can be correlated to damage.…”

Section: Introductionmentioning

confidence: 99%

Damage Assessment Using Information Entropy of Individual Acoustic Emission Waveforms during Cyclic Fatigue Loading

et al. 2017

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Featured Application: The work presented in this paper outlines three methods to analyze individual acoustic emission waves emitted within a cyclically-loaded metallic structure. Upon further development, one potential application of the proposed analysis methods would be to aid in estimating the remaining useful life of aircraft structures.Abstract: Information entropy measured from acoustic emission (AE) waveforms is shown to be an indicator of fatigue damage in a high-strength aluminum alloy. Three methods of measuring the AE information entropy, regarded as a direct measure of microstructural disorder, are proposed and compared with traditional damage-related AE features. Several tension-tension fatigue experiments were performed with dogbone samples of aluminum 7075-T6, a commonly used material in aerospace structures. Unlike previous studies in which fatigue damage is measured based on visible crack growth, this work investigated fatigue damage both prior to and after crack initiation through the use of instantaneous elastic modulus degradation. Results show that one of the three entropy measurement methods appears to better assess the damage than the traditional AE features, whereas the other two entropies have unique trends that can differentiate between small and large cracks.

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“…Among the common non-destructive method such as acoustic emission (AE), X-ray and ultrasound, AE is a dynamic non-destructive testing method and not limited by materials [6]. Lugo et al [7] studied the damage evolution in a 7075 aluminum alloy by using acoustic emissions to quantify the evolution of damage, but their research is based on the destructive experiment. Behrens et al [8] presented an approach for online crack detection during cold forging of steel components using the acoustic emission technique, but the data was obtained by off-line laboratory experiments.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Material Performance Degradation for High-Strength Aluminum Alloy Using Acoustic Emission Method

Sun

Que³

et al. 2015

Metals

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Structural materials damages are always in the form of micro-defects or cracks. Traditional or conventional methods such as micro and macro examination, tensile, bend, impact and hardness tests can be used to detect the micro damage or defects. However, these tests are destructive in nature and not in real-time, thus a non-destructive and real-time monitoring and characterization of the material damage is needed. This study is focused on the application of a non-destructive and real-time acoustic emission (AE) method to study material performance degradation of a high-strength aluminum alloy of high-speed train gearbox shell. By applying data relative analysis and interpretation of AE signals, the characteristic parameters of materials performance were achieved and the failure criteria of the characteristic parameters for the material tensile damage process were established. The results show that the AE method and signal analysis can be used to accomplish the non-destructive and real-time detection of the material performance degradation process of the high-strength aluminum alloy. This technique can be extended to other engineering materials.

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Quantification of damage evolution in a 7075 aluminum alloy using an acoustic emission technique

Cited by 36 publications

References 18 publications

A microscopic study on the corrosion fatigue of ultra-fine grained and conventional Al–Mg alloy

A microscopic study on the corrosion fatigue of ultra-fine grained and conventional Al–Mg alloy

Damage Assessment Using Information Entropy of Individual Acoustic Emission Waveforms during Cyclic Fatigue Loading

Investigation of Material Performance Degradation for High-Strength Aluminum Alloy Using Acoustic Emission Method

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