Review-material degradation assessed by digital image processing: Fundamentals, progresses, and challenges

Xia, Da-Hai; Shi, Song; Lei, Tao; Qin, Zhenbo; Gao, Zhiming; Wang, Jihui; Hu, Wenbin; Behnamian, Yashar; Luo, Jing‐Li

doi:10.1016/j.jmst.2020.04.033

Cited by 63 publications

(27 citation statements)

References 143 publications

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“…Photos were processed by MATLAB to evaluate the degree of corrosion, including grayscale conversion and binary feature extraction. The grayscale conversion is to increase the contrast of the image, and binarization can extract the characteristics of the corroded area (Wang and Song, 2004; Xia et al , 2020). The corresponding microscopic morphology was observed by a scanning electron microscope (SEM) equipped with an energy dispersive spectroscopy (EDS) analyzer.…”

Section: Experimental Methodsmentioning

confidence: 99%

Effect of plastic deformation on mechanical properties and corrosion resistance of nickel-aluminum bronze

Qin

et al. 2021

ACMM

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Purpose Nickel-aluminum bronze (NAB) has been widely used in ship propellers. It is always subjected to local micro-plastic deformation in service environments. This paper aims to study the influence of plastic deformation on the mechanical strength and corrosion resistance of NAB in 3.5 Wt.% NaCl solution. Design/methodology/approach Scanning electron microscope and X-ray diffraction were used to analyze the microstructure of NAB alloy with different plastic deformations. Mechanical properties of the sample were measured by tensile experiment, and corrosion behavior was studied by electrochemical measurements and the long-term immersion corrosion test. Findings Results showed that the plastic deformation caused lattice distortion but did not change the microstructure of NAB alloy. Microhardness and yield strength of NAB were significantly improved with the increase of deformation. The lattice distortion accelerated the formation of corrosion product film, which made the deformed alloy show a more positive open-circuit potential and an increased Rp. However, during the long-term immersion corrosion, the corrosion resistance of NAB alloys deteriorated with the increase of plastic deformation. This is because larger plastic deformation brought about higher internal stress in corrosion product film, which resulted in the premature peeling of the film and the loss of its protective effect on the alloy substrate. Originality/value Tensile plastic deformations were found to cause a decline in the corrosion resistance of NAB. And the mechanism was clarified from the evolution of corrosion products during the corrosion process.

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Section: Experimental Methodsmentioning

confidence: 99%

Effect of plastic deformation on mechanical properties and corrosion resistance of nickel-aluminum bronze

Qin

et al. 2021

ACMM

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“…Among a wide range of algorithms, convoluted neural networks (CNNs), support vector machine (SVM), and random forest (RF) are popular approaches used to identify underlying associations in images (AgajanianOluyemiVerkhivker, 2019;Ahmed, 2020). These techniques are increasingly being introduced in material science to identify concealed property relationships (Bulgarevich et al, 2018;Himanen et al, 2019;Xia et al, 2020). For instance, researchers have linked corrosion degradation to surface images, which reduces the need for human inspection (Shen et al, 2013;Atha and Jahanshahi, 2018;Brandolide Geus et al, 2021;Qu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Applied to Identify Corrosive Environmental Conditions

2022

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The reliability of turbine engines depends significantly on the environment experienced during flight. Air humidity, corrosive contaminant substances, and high operating temperatures are among the attributes that affect engine lifespans. The specifics of the environment that affect materials are not always known, and damage is often evaluated by time-consuming manual inspection. This study innovates by demonstrating that machine learning approaches can identify the environmental conditions that degrade jet engine metallic materials. We used the state-of-the-art pre-trained neural network models to assess images of damaged nickel-based superalloy samples to identify the environment temperature, the exposure time, and the deposited amounts of salt contaminants. These parameters are predicted by training the model with a database of approximately 3,600 sample images tested in laboratory conditions. A novel tree classification process results in excellent predictive power for classifying the type of environment experienced by nickel-based superalloys.

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“…At the moment, the precipitous advancement in high technology and contemporary instruments result in making the medical imaging the extremely essential diagnostic tool for diseases and treatment [1]- [4]. For the purpose of medical diagnostics, various multimodal medical imaging techniques like MRI, CT, PET, SPECT are employed.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions

et al. 2021

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The track of medical imaging has witnessed several advancements in the last years. Several medical imaging modalities have appeared in the last decades including X-ray, Computed Tomography (CT), Magnetic Resonance (MR), Positron Emission Tomography (PET), Single-Photon Emission Computed Tomography (SPECT) and ultrasound imaging. Generally, medical images are used for the diagnosis purpose. Each type of acquired images has some merits and limitations. To maximize medical images utilization for the purpose of diagnosis, medical imaging fusion trend has appeared as a hot research field. Different medical imaging modalities are fused to obtain new images with complementary information. This paper presents a survey study of medical imaging modalities and their characteristics. In addition, different medical image fusion approaches and their appropriate quality metrics are presented. The main aim of this comprehensive survey analysis is to contribute in the advancement of medical image approaches that can help for better diagnosis of different diseases.INDEX TERMS Medical imaging, fusion process, imaging modalities, dual-tree complex wavelet transform, curvelet transform, discrete wavelet transform, principal component analysis.

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Review-material degradation assessed by digital image processing: Fundamentals, progresses, and challenges

Cited by 63 publications

References 143 publications

Effect of plastic deformation on mechanical properties and corrosion resistance of nickel-aluminum bronze

Effect of plastic deformation on mechanical properties and corrosion resistance of nickel-aluminum bronze

Machine Learning Applied to Identify Corrosive Environmental Conditions

A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions

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