Hydrogen diffusion in Ni-Cr-Fe system

Monzamodeth, R.S.; Campillo, B.; Flores, O.

doi:10.1016/j.matpr.2020.12.534

Cited by 2 publications

(4 citation statements)

References 23 publications

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“…The In 690 showed close Deff values in the two transients; the Jss was not affected by the transition between tests. Finally, the Jss of the In 600 in its two conditions presented the highest values, a trend comparable to the first study reported [5]. The former indicates that the trapping effect is even lower due to a high value of molar flux per unit area per time.…”

Section: Permeation Testssupporting

confidence: 86%

“…The former statement must be complemented with research on grain boundaries and their influence on H diffusivity. The main objective of this and the previously reported work [5] was to analyze the Cr effect on the H diffusivity. It was found that in solid solution does not significantly affect interatomic spacing or diffusivity.…”

Section: Predictive Modelmentioning

confidence: 99%

“…Superalloys are materials used in applications that demand excellent corrosion resistance, creep, and good mechanical properties at high temperatures in aggressive media. These are employed in several applications such as petrochemical processes, transportation and gas industry, gas turbine components, and pressurized water reactors, among others [1][2][3][4][5][6]. The predominant base elements of the superalloys are nickel (Ni), titanium (Ti), iron-nickel (Fe-Ni), and cobalt (Co), and additionally, other elements are added to provide different properties to the material.…”

Section: Introductionmentioning

confidence: 99%

“…Database: The database was set up from the results of elemental chemical characterizations, microstructural measurements, and the permeability test results. Furthermore, the results acquired and reported in previous work [5] were used to build the database. The resulting database was normalized from 0 to 1 and from −1 to 1; later, the sigmoid and hyperbolic functions, Equations ( 6) and ( 7), were implemented as transfer functions in the ANN neurons.…”

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confidence: 99%

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Hydrogen Diffusion in Nickel Superalloys: Electrochemical Permeation Study and Computational AI Predictive Modeling

Román-Sedano,

Campillo,

Villalobos

et al. 2023

Materials

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Ni-based superalloys are materials utilized in high-performance services that demand excellent corrosion resistance and mechanical properties. Its usages can include fuel storage, gas turbines, petrochemistry, and nuclear reactor components, among others. On the other hand, hydrogen (H), in contact with metallic materials, can cause a phenomenon known as hydrogen embrittlement (HE), and its study related to the superalloys is fundamental. This is related to the analysis of the solubility, diffusivity, and permeability of H and its interaction with the bulk, second-phase particles, grain boundaries, precipitates, and dislocation networks. The aim of this work was mainly to study the effect of chromium (Cr) content on H diffusivity in Ni-based superalloys; additionally, the development of predictive models using artificial intelligence. For this purpose, the permeability test was employed based on the double cell experiment proposed by Devanathan–Stachurski, obtaining the effective diffusion coefficient (Deff), steady-state flux (Jss), and the trap density (NT) for the commercial and experimentally designed and manufactured Ni-based superalloys. The material was characterized with energy-dispersed X-ray spectroscopy (EDS), atomic absorption, CHNS/O chemical analysis, X-ray diffraction (XRD), brightfield optical microscopy (OM), and scanning electron microscopy (SEM). On the other hand, predictive models were developed employing artificial neural networks (ANNs) using experimental results as a database. Furthermore, the relative importance of the main parameters related to the H diffusion was calculated. The Deff, Jss, and NT achieved showed relatively higher values considering those reported for Ni alloys and were found in the following orders of magnitude: [1 × 10−8, 1 × 10−11 m2/s], [1 × 10−5, 9 × 10−7 mol/cm2s], and [7 × 1025 traps/m3], respectively. Regarding the predictive models, linear correlation coefficients of 0.96 and 0.80 were reached, corresponding to the Deff and Jss. Due to the results obtained, it was suitable to dismiss the effect of Cr in solid solution on the H diffusion. Finally, the predictive models developed can be considered for the estimation of Deff and Jss as functions of the characterized features.

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Section: Permeation Testssupporting

confidence: 86%

Section: Predictive Modelmentioning

confidence: 99%