Effect of hydrogen charging on microstructural evolution and corrosion behavior of Ti-4Al-2V-1Mo-1Fe alloy

Qiao, Yanxin; Xu, Daokui; Wang, Shuo; Ma, Yuanyuan; Chen, Jian; Wang, Yuxin; Zhou, Huiling

doi:10.1016/j.jmst.2020.06.010

Cited by 75 publications

(19 citation statements)

References 65 publications

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“…The EDS results suggested that high levels of niobium element accumulated in the corrosion pits. It seemed that the corrosion pits might be determined by inclusions of NbC [ 31 , 38 , 39 ]. In high-temperature water, pitting may be associated with Nb-rich precipitates (likely the γ '-phase) [ 4 , 40 ] and induced by local potential difference between the matrix and the inclusions [ 2 ].…”

Section: Resultsmentioning

confidence: 99%

“…Under these conditions, NiO interacted with the chromium ions diffused from the alloy matrix and the iron ions dissolved from the autoclave, thus giving rise to the formation of NiCr 2 O 4 and NiFe 2 O 4 , respectively. It should be noted that the protective effect brought by NiCr 2 O 4 [ 38 ] increases along with the increasing corrosion time, as well as the oxidation resistance. This well explains the weight gain trend observed in Figure 1 .…”

Section: Resultsmentioning

confidence: 99%

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Effect of Iron Ion on Corrosion Behavior of Inconel 625 in High-Temperature Water

et al. 2020

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The corrosion behavior of an ultralow iron nickel-based alloy Inconel 625 under high-temperature water has been evaluated. The results show that surface oxidation and pitting were the principal corrosion mechanisms of Inconel 625 during the initial immersion period. The surface layer of the oxide film is first Ni-enriched and then Fe-enriched as immersion time increases. The iron ions dissolved from the autoclave could lead to the formation of NiFe2O4 and have a great influence on the oxidation behavior of Inconel 625. The oxides nucleated by solid-state reactions with selective dissolution of Fe and Ni and then grew up through precipitation of cations from solution.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Effect of Iron Ion on Corrosion Behavior of Inconel 625 in High-Temperature Water

et al. 2020

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“…As is well-known, charge transfer is the fundamental characteristic of the electrochemical reaction [ 30 , 31 ]. The corrosion scale and solid salt scale are the key influence factors for electrochemical reaction rate.…”

Section: Resultsmentioning

confidence: 99%

Effects of the Different Solid Deposits on the Corrosion Behavior of Pure Fe in Water Vapor at 500°C

et al. 2020

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A comprehensive corrosion investigation of pure Fe in an environment of solid sodium salt deposit (i.e., NaCl or Na2SO4) with mixtures of H2O and O2 at 500°C was conducted by mass gain measurement, X-ray diffraction (XRD), scanning electron microscope (SEM), potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS). The results showed that corrosion rates were accelerated with solid NaCl or Na2SO4 deposit due to their reaction with the formed protective scale of Fe2O3 and subsequently resulted in its breakdown. The corrosion rate of pure Fe with solid NaCl is higher than that with solid Na2SO4 because of the lower activation energy (Ea) for chemical reaction of Fe in solid NaCl+H2O+O2 (i.e., 140.5 kJ/mol) than that in solid Na2SO4+H2O+O2 (i.e., 200.9 kJ/mol). Notably, the electrochemical corrosion rate of pure Fe with solid NaCl deposit, 1.16×10−4 A/cm2, was a little lower than that with solid Na2SO4 deposit.

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“…Although the surface defects can be identified by manual inspection or camera, the defects inside the weld are not easy to identify. With the development of microtechnology, the nondestructive measurement of internal defects of weld can be achieved by using a scanning electron microscope and perspective electron microscope [ 33 , 34 ]. The scanning electron micrograph of main internal defects is shown in Figure 2 [ 35 ].…”

Section: The Quality Factors Of Assembly and Welding For Ship Groumentioning

confidence: 99%

Quality Prediction and Control of Assembly and Welding Process for Ship Group Product Based on Digital Twin

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et al. 2020

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In view of the problems of lagging and poor predictability for ship assembly and welding quality control, the digital twin technology is applied to realize the quality prediction and control of ship group product. Based on the analysis of internal and external quality factors, a digital twin-based quality prediction and control process was proposed. Furthermore, the digital twin model of quality prediction and control was established, including physical assembly and welding entity, virtual assembly and welding model, the quality prediction and control system, and twin data. Next, the real-time data collection based on the Internet of Things and the twin data organization based on XML were used to create a virtual-real mapping mechanism. Then, the machine learning technology is applied to predict the process quality of ship group products. Finally, a small group is taken as an example to verify the proposed method. The results show that the established prediction model can accurately evaluate the welding angular deformation of group products and also provide a new idea for the quality control of shipbuilding.

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Effect of hydrogen charging on microstructural evolution and corrosion behavior of Ti-4Al-2V-1Mo-1Fe alloy

Cited by 75 publications

References 65 publications

Effect of Iron Ion on Corrosion Behavior of Inconel 625 in High-Temperature Water

Effect of Iron Ion on Corrosion Behavior of Inconel 625 in High-Temperature Water

Effects of the Different Solid Deposits on the Corrosion Behavior of Pure Fe in Water Vapor at 500°C

Quality Prediction and Control of Assembly and Welding Process for Ship Group Product Based on Digital Twin

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