Simulation and Experimentation of Pulsed Eddy Current Thermography for Corrosion Detection Under Insulation

Hernandez, Johnathan; Vo, Khanh; Raghavan, Seetha

doi:10.2514/6.2020-0244

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…Among studies that investigate the corrosion performance of AM alloys, there are contradictory conclusions on their performance in comparison with standard counterpart alloys. Various techniques have been used to study corrosion [13][14][15][16][17]. In light of the advances in micro-DIC to establish early SCC initiation capture [18][19][20], an application to PBF AlSi10Mg was pursued here.…”

Section: Introductionmentioning

confidence: 99%

Quantifying stress corrosion cracking performance of additively manufactured aluminum alloys via micro digital image correlation

Raghavan,

Esteves,

Ghosh

2023

Preprint

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Additive manufacturing (AM) has the capability to efficiently produce complex parts while saving manufacturing time and costs in industry. However, the AM process can also introduce defects within printed parts, which negatively impacts their performance during service life. Defects can reduce corrosion resistance in AM alloys. AlSi10Mg is a commercially available material for automotive and aerospace applications that is produced via powder bed fusion (PBF). While its mechanical behavior and characteristics have been studied extensively, there are contradictory conclusions on how the PBF process affects its corrosion perfor- mance. Consequently, its behavior under stress corrosion cracking (SCC) is not well understood. It was demonstrated in this work that AlSi10Mg had better SCC performance than its counterpart standard manufactured alloy, AA6061-T6. It was found that PBF AlSi10Mg experienced crack initiation 126 minutes later and withstood failure 18 minutes beyond its counterpart AA6061-T6. At failure, PBF AlSi10Mg experienced three times less strain. This work presents a unique capa- bility of correlating SCC performance in AM alloys to SCC initiation captured via micro digital image correlation (DIC). The results provide useful informa- tion on how AM alloys behave under SCC as a function of time and strain. This information can aid in improving or developing new AM processes for producing reliable and corrosion-resistant alloys.

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Section: Introductionmentioning

confidence: 99%

Quantifying stress corrosion cracking performance of additively manufactured aluminum alloys via micro digital image correlation

Raghavan,

Esteves,

Ghosh

2023

Preprint

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“…To date, a wide variety of techniques have been developed for structural health monitoring. These techniques include ultrasonic/acoustic-based techniques [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ], eddy-current-based techniques [ 10 , 11 , 12 ], and microwave-based techniques [ 13 , 14 , 15 ]. These technologies are promising for specific structural health monitoring applications, however, they are not readily suited to being scaled up for applications such as monitoring the structural health of an entire city.…”

Section: Introductionmentioning

confidence: 99%

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video

Martinez

Green

Silva

et al. 2020

Sensors

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Video-based techniques for identification of structural dynamics have the advantage that they are very inexpensive to deploy compared to conventional accelerometer or strain gauge techniques. When structural dynamics from video is accomplished using full-field, high-resolution analysis techniques utilizing algorithms on the pixel time series such as principal components analysis and solutions to blind source separation the added benefit of high-resolution, full-field modal identification is achieved. An important property of video of vibrating structures is that it is particularly sparse. Typically video of vibrating structures has a dimensionality consisting of many thousands or even millions of pixels and hundreds to thousands of frames. However the motion of the vibrating structure can be described using only a few mode shapes and their associated time series. As a result, emerging techniques for sparse and random sampling such as compressive sensing should be applicable to performing modal identification on video. This work presents how full-field, high-resolution, structural dynamics identification frameworks can be coupled with compressive sampling. The techniques described in this work are demonstrated to be able to recover mode shapes from experimental video of vibrating structures when 70% to 90% of the frames from a video captured in the conventional manner are removed.

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“…Different techniques can be used for non-destructive testing (NDT) of metallic parts (see for instance [10][11][12][13][14][15]); they can more devoted to in-situ testing such as acoustic emission, thermography, and optical tomography. Optical emissions of the melt pool or solidified material can be detected by photodiodes, thermographic cameras, or optical tomography.…”

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confidence: 99%

Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion

Saddoud

Sergeeva-Chollet

Darmon

2023

Sensors

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The production of parts by additive manufacturing is an important issue for the reduction in manufacturing costs and the creation of complex geometries. Optical inspection is often implemented in the machines during the manufacturing process in order to monitor the possible generated defects. However, it is also crucial to test the quality of the manufactured parts after their fabrication and monitor their health throughout their industrial lifetime. Therefore structural health monitoring (SHM) methods need to be studied or designed. In this paper, the eddy current method is used to control fabricated parts, as this technique is adapted to detect surface and shallow defects in conductive materials. Using simulations with the CIVA non-destructive testing software package, several sensors and their parameters were tested in order to determine the most optimal ones: a separate transmitter/receiver sensor and an isotropic sensor were finally designed. The comparison of these sensors’ efficiency was made on the detection of notches and engraved letters based on simulation and experimental tests on parts fabricated by laser powder bed fusion (L-PBF) in order to determine the optimal sensor. The various tests showed that the isotropic sensor is the optimal one for the detection and characterization of defects.

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Simulation and Experimentation of Pulsed Eddy Current Thermography for Corrosion Detection Under Insulation

Cited by 5 publications

References 14 publications

Quantifying stress corrosion cracking performance of additively manufactured aluminum alloys via micro digital image correlation

Quantifying stress corrosion cracking performance of additively manufactured aluminum alloys via micro digital image correlation

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video

Eddy Current Sensors Optimization for Defect Detection in Parts Fabricated by Laser Powder Bed Fusion

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