Simultaneous measurement of acoustic emission and electrical resistance variation in stress-corrosion cracking

Santos-Leal, E; López, R. J.

doi:10.1088/0957-0233/6/2/010

Cited by 17 publications

(7 citation statements)

References 9 publications

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“…Barnett and Troiano [60] first used this technique for laboratory research to measure crack growth kinetics in a study of hydrogen embrittlement in notched tensile specimens. Electrical PD methods, which were also named as electrical resistance methods, have been used with success of detection crack closure in fatigue crack studies [61][62][63][64][65][66][67][68][69][70], crack initiation in crackopening displacement and fatigue tests [23,45,46,[71][72][73][74][75][76][77], measurement of crack growth under various of loading conditions (including fatigue [9,21,55,[78][79][80][81], creep [19,21,37,42,[81][82][83][84][85], stress corrosion [21,[86][87][88], sustained loading [89][90][91], fretting fatigue [12], and hydrogen embrittlement [21,…”

Section: Potential Differencementioning

confidence: 99%

“…3b and a basic description is given here. A noticeable improvement offered by the ACPD method is the introduction of phase sensitive detection associated with lock-in amplifiers that offer excellent noise rejection and improved accuracy and sensitivity for ACPD measurements [22,34,76,88,124,137,140]. In the excitation circuits a reference signal provided by a voltage controlled oscillator is fed into a power amplifier for constant current output [34,45,48,133,134,140,150].…”

Section: Experimental System Designsmentioning

confidence: 99%

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Potential difference methods for measuring crack growth: A review

Rouse

Hyde

2020

International Journal of Fatigue

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Non-destructive testing techniques are widely applied in industry for the evaluation of quantities of interest without inflicting additional damage accumulation. Crack detection and monitoring is a prime example of where non-destructive testing is valuable. Among the variety of non-destructive testing techniques, the direct current and alternating current potential difference methods, which are based on the principle that an electrical potential field around a conductive specimen is disturbed by the presence of geometric irregularities (or "features"), have received a great deal of attention in the literature. This is mainly due to the high levels of accuracy associated with these techniques and good estimations of crack initiation and propagation having been achieved.A critical review of the evolution and applications of potential difference methods is presented in this paper. Potential difference methods are capable of providing accurate and continuous measurements with simple installation and exclude the requirement of visual access under harsh service conditions. Alternating current potential difference methods require lower current input than direct current equivalents and hence provide higher sensitivity and offer better noise rejection but are vulnerable to capacitance effects and are more expensive. Calibration curves can be determined analytically, numerically, or by direct or analogue experimental techniques with each method offering strengths and limitations. Application of these should be determined in accordance with the specific scenario. The performance of electric probes (of voltage measurements and current injection) on topand side-face of C(T) and SEN(B) specimens are reviewed in detail as case examples. Specific guidance in normalising measurements and eliminating errors from thermoelectric effects can be implemented in order to improve the accuracy of PD methods. Abundant results have been obtained by applying PD methods in monitoring cracks geometries under aggressive conditions such as corrosion, high temperature, creep and cycled loading.

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Section: Potential Differencementioning

confidence: 99%

Section: Experimental System Designsmentioning

confidence: 99%

Potential difference methods for measuring crack growth: A review

Rouse

Hyde

2020

International Journal of Fatigue

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“…One of the main difficulties in using the AE technique for EAC research is interpretation of the results obtained. The relationship between the extent of cracking (on both micro- and macroscopic levels), elastic energy released and the various mechanisms that intervene in crack growth are not well defined or characterised 40. However, several studies have shown that a qualitative relationship exists between AE activity and severity of IG SCC (Fig.…”

Section: Acoustic Emissionmentioning

confidence: 99%

Corrosion monitoring techniques for detection of crack initiation under simulated light water reactor conditions

Ritter

Horner

Bosch

2012

Corrosion Engineering, Science and Technology

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Monitoring the early stages of environmentally assisted cracking under light water reactor conditions is a challenging task but is getting more important in the context of a proactive aging management approach. From a rather large number of available corrosion monitoring techniques, only very few appear suitable for the detection of crack initiation and application in high temperature water environments (y300uC). The most promising of these techniques (electrochemical noise, acoustic emission, electrochemical impedance spectroscopy, alternating/direct current potential drop and high temperature imaging autoclave) are summarised and assessed in the current paper.

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“…This method is sensitive and has continuous monitoring capabilities [12][13][14]. It has been utilized as a measurement tool to assess the health condition of materials [15][16][17][18]. Santos-Leal et al [15] developed a simultaneous measurement system to investigate the relation between the information measured by AE and electrical resistance variation during the stress corrosion crack propagation in high-strength low-alloy steels.…”

Section: Introductionmentioning

confidence: 99%

“…It has been utilized as a measurement tool to assess the health condition of materials [15][16][17][18]. Santos-Leal et al [15] developed a simultaneous measurement system to investigate the relation between the information measured by AE and electrical resistance variation during the stress corrosion crack propagation in high-strength low-alloy steels. The results indicated the cumulative counts and cumulative energy of AE showed a very similar temporal behavior with electrical resistance variation.…”

Section: Introductionmentioning

confidence: 99%

Detection of impact on aircraft composite structure using machine learning techniques

Soltangharaei

Bayat

et al. 2021

Meas. Sci. Technol.

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Aircraft structures are exposed to impact damage caused by debris and hail during their service life. One of the design concerns in composite structures is the resistance of layered surfaces to damage, which occurs from impacts with various foreign objects. Therefore, the impact localization and damage quantification of impacts should be studied and considered to address flight safety and to reduce costs associated with a regularly scheduled visual inspection. Since the structural components of the aircraft are large scale, visual inspection and monitoring are challenging and subject to human error. This paper presents a promising solution that can automatically detect and localize an impact that may occur during flight. To achieve this goal, acoustic emission (AE) is employed as an impact monitoring approach. Random forest and deep learning were adopted for training the source location models. An AE dataset was collected by conducting an impact experiment on a full-size thermoplastic aircraft elevator in a laboratory environment. A dataset consisting of AE parametric features and a dataset consisting of AE waveforms were assigned to a random forest classifier and deep learning network for the investigation of their applicability of impact source localization. The results obtained were compared using the source localization approach in previous research using a conventional artificial neural network. The analysis of results shows the random forest and deep learning leads to better event localization performance. In addition, the random forest model can provide the importance of features. By deleting the least important features, the storage required to save the input and the computing time for the random forest is greatly reduced, and an acceptable localization performance can still be obtained.

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Simultaneous measurement of acoustic emission and electrical resistance variation in stress-corrosion cracking

Cited by 17 publications

References 9 publications

Potential difference methods for measuring crack growth: A review

Potential difference methods for measuring crack growth: A review

Corrosion monitoring techniques for detection of crack initiation under simulated light water reactor conditions

Detection of impact on aircraft composite structure using machine learning techniques

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