Classification of corrosion defects in NiAl bronze through image analysis

Pidaparti, Ramana M.; Aghazadeh, Babak Seyed; Whitfield, Angela; Rao, A. S.; Mercier, Gerald P.

doi:10.1016/j.corsci.2010.07.017

Cited by 72 publications

(22 citation statements)

References 19 publications

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“…This is due to the presence of inclusions and precipitates peculiar of NAB alloy. [35][36][37] Scanning electron microscopy (SEM) imaging revealed no significant pileup of the material for a penetration depth of about 5 lm (Fig. 4).…”

Section: Resultsmentioning

confidence: 99%

Application of spherical nanoindentation to determine the pressure of cavitation impacts from pitting tests

2011

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This article focuses on the use of spherical nanoindentation measurements to estimate the pressure of cavitation impacts and its statistical distribution. Indeed, nanoindentation techniques are supposed to represent an effective tool in this field due to the similarities between substrate deformation under liquid impact and indentation testing. First, nanoindentation experiments were used to extract the mechanical parameters of a Nickel-Aluminum-Bronze alloy; second, pitting tests were performed at different operating pressures, and the geometrical characteristics of the pits were measured; and finally, the spectra of impact pressure and loads responsible for material erosion were obtained by coupling the findings of indentation tests with the analysis of pitting tests. Results assessed the capability of the proposed methodology to quantify the hydrodynamic aggressiveness of the cavitating flow. This procedure, which assumes the material itself as a sensor that is able to detect the impact loads, could represent an alternative solution to pressure transducers in estimating the cavitation intensity.

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Section: Resultsmentioning

confidence: 99%

Application of spherical nanoindentation to determine the pressure of cavitation impacts from pitting tests

2011

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“…Image analysis is an appropriate tool to characterize qualitatively and quantitatively the early stage of the mechanism of damage by corrosion [6][7][8][9]. Pitting corrosion through pit numbers determination and its morphology characteristics was evaluated using image analysis [10][11][12][13]. The use of image analysis of corroded surfaces to determine the morphology and extent of pitting corrosion has not received much attention.…”

Section: Inrroductionmentioning

confidence: 99%

Image Processing Techniques Applied for Pitting Corrosion Analysis

Alkanhal¹

2014

IJRET

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In order to study the behavior of the early stage of pitting corrosion, an image analysis based on discrete wavelet packet transform and fractals was used. Image feature parameters were extracted and analyzed to characterize the pitting corrosion development with test time. It was found that the feature parameters: Shannon entropy, energy, fractal dimension and intercept increased with the test time. Therefore the image processing techniques were promising and effective tools to analyze and detect the pitting corrosion.

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“…The theoretical groundwork for the article is based on a number of studies dealing with road safety and technical expert examination of a car body [2][3][4][5][6], as well as atmospheric corrosion processes that take place therein [7,8]. The studies that deal with color reproduction and image analysis [9], as well as color of rust spots and conversion of color channel vector for digital photos [10][11][12] can also be highlighted.…”

Section: Introductionmentioning

confidence: 99%

Contactless Automated Express Evaluation of Damages to a Car Body by Visual Parameters

2019

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Explosive development of computer technologies and their availability made it possible to extensively focus nowadays on emerging state-of-the-art technologies, digitalization, artificial intelligence, and automated systems, including in the field of road safety. It would be reasonable to implement some technical devices in this respect to remove human factor and automate some procedures completed at the scene of a road accident. Automatically filled up road accident inspection records and, mainly, diagrams of the accident will reduce time required for the examining inspector and remove human factor. Ultimately, an automated road accident data sheet is suggested to be established. To tackle the issues above requires a technique to determine whether the produced damages to the car body result from the same road accident. The fact remains that there are circumstances when even vehicle trace examination would not do the job, in case of multiple corrosive damage to the body. In view of the above, a technique designed to determine whether the damages produced are caused at the same point of time gains its ground. A technique for a time-related corrosion examination is offered herein to cut expenditures for diagnostics and expert examination of road accidents. That will also eliminate the matters of argument with respect to the road accident evaluation in court. Among added benefits of the technique are that it is simple, quick to implement, and requires no human involvement. It is a well-established fact that each chemical element or a mixture of substances has its own timeinvariant color attributes which allows to determine availability of one or another substance during corrosion of metal surfaces, by emission from the surface in question.

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Classification of corrosion defects in NiAl bronze through image analysis

Cited by 72 publications

References 19 publications

Application of spherical nanoindentation to determine the pressure of cavitation impacts from pitting tests

Application of spherical nanoindentation to determine the pressure of cavitation impacts from pitting tests

Image Processing Techniques Applied for Pitting Corrosion Analysis

Contactless Automated Express Evaluation of Damages to a Car Body by Visual Parameters

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