Hydrogen Embrittlement Behavior of 430 and 445NF Ferritic Stainless Steels

Kim, Sun Mi; Chun, Young Soo; Won, Sung Yeun; Kim, Young Hwan; Lee, Chong Soo

doi:10.1007/s11661-012-1265-7

Cited by 18 publications

(7 citation statements)

References 36 publications

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“…The HSP predicted for 1319L2 ferritic stainless steel containing 21% of chromium follows the trend increasing up to 78.7%. Usually, the hydrogen-induced fracture initiates at the nonmetallic inclusions (NMI) of Al/Ti oxides or Nb carbides and propagates transgranularly forming a quasi-cleavage fracture surface [47,48]. However, the concentration of chromium in the solid solution and/or formation of chromium carbides/oxides may result in a change of the hydrogen diffusion, trapping and detrapping increasing the susceptibility of steel to HE.…”

Section: Resultsmentioning

confidence: 99%

Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network

Malitckii

Fangnon

Vilaça

2020

Neural Comput & Applic

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Steels are the most used structural material in the world, and hydrogen content and localization within the microstructure play an important role in its properties, namely inducing some level of embrittlement. The characterization of the steels susceptibility to hydrogen embrittlement (HE) is a complex task requiring always a broad and multidisciplinary approach. The target of the present work is to introduce the artificial neural network (ANN) computing system to predict the hydrogen-induced mechanical properties degradation using the hydrogen thermal desorption spectroscopy (TDS) data of the studied steel. Hydrogen sensitivity parameter (HSP) calculated from the reduction of elongation to fracture caused by hydrogen was linked to the corresponding hydrogen thermal desorption spectra measured for austenitic, ferritic, and ferritic-martensitic steel grades. Correlation between the TDS input data and HSP output data was studied using two ANN models. A correlation of 98% was obtained between the experimentally measured HSP values and HSP values predicted using the developed densely connected layers ANN model. The performance of the developed ANN models is good even for never-before-seen steels. The ANN-coupled system based on the TDS is a powerful tool in steels characterization especially in the analysis of the steels susceptibility to HE.

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Section: Resultsmentioning

confidence: 99%

Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network

Malitckii

Fangnon

Vilaça

2020

Neural Comput & Applic

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“…Fe-Cr alloy steels are finding wide applications and replacing some Cr-Ni austenitic steels because of their excellent stress corrosion cracking resistance; high thermal conductivity; and low expansion coefficient and cost [ 1 , 2 ]. However, Fe-Cr alloys generally exhibit low formability and poor surface quality.…”

Section: Introductionmentioning

confidence: 99%

“…(2) Another issue is that the α (≈β/n ) is usually acquired through utilizing all experimental results for obtaining n in Equation (7), which is invalid for the experimental results with higher stress, and β in Equation (8), which is not suitable for the experimental results with lower stress, as described in in Equations ( 6)- (8) in Section 3.2.3. For the Johnson-Cook (JC) models, an important problem that needs to be addressed is that, generally, the material parameters B 5 , λ 1 and λ 2 (as stated in Equation (2) in this study) are all considered to be constants. As a matter of fact, according to studies about the establishment of JC model [16,[28][29][30][31][32], these material parameters obtained by linear fitting are markedly different at different strains and are related to strains.…”

Section: Introductionmentioning

confidence: 99%

Constitutive Descriptions and Restoration Mechanisms of a Fe-17Cr Alloy during Deformation at Temperatures of 700–1000 °C

Gao

Zhu

et al. 2021

Materials

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The deformation behavior for highly purified Fe-17Cr alloy was investigated at 700~1000 °C and 0.5~10 s−1. The microstructure evolution and corresponding mechanism during deformation were studied in-depth, using electron backscattering diffraction, transmission electron microscopy and precession electron diffraction. During deformation, dynamic recrystallization (DRX) occurred, along with extensive dynamic recovery, and the active DRX mechanism depended on deformation conditions. At higher Zener-Hollomon parameter (Z ≥ 5.93 × 1027 s−1), the development of the shear band was promoted, and then continuous DRX was induced by the formation and intersection shear band. At lower Zener-Hollomon parameter (Z ≤ 3.10 × 1025 s−1), the nucleation of the new grain was attributed to the combination of continuous DRX by uniform increase in misorientation between subgrains and discontinuous DRX by grain boundary bulging, and with increasing temperature, the effect of the former became weaker, whereas the effect of the latter became stronger. The DRX grain size increased with the temperature. For alleviating ridging, it seems advantageous to activate the continuous DRX induced by shear band through hot deformation with higher Z. In addition, the modified Johnson-Cook and Arrhenius-type models by conventional way were developed, and the modified Johnson-Cook model was developed, using the proposed way, by considering strain dependency of the material parameters. The Arrhenius-type model was also modified by using the proposed way, through distinguishing stress levels for acquiring partial parameter and through employing peak stress to determine the activation energy and considering strain dependency of only other parameters for compensating strain. According to our comparative analyses, the modified Arrhenius-type model by the proposed approach, which is suggested to model hot-deformation behavior for metals having only ferrite, could offer a more accurate prediction of flow behavior as compared to other developed models.

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“…In some cases, wires can be protected from hydrogen embrittlement through the application of zinc coatings, although controversial results have also been reported indicating that zinc in contact with alkaline cement can enhance hydrogen generation (5,6). Furthermore, the susceptibility of ferritic stainless steel types used for metallic construction to hydrogen embrittlement -especially in marine environments -is a primary drawback that impedes the replacement of austenitic stainless steel types by cheaper and higher strength ferritic types (7). Similar problems exist for other metallic alloys (8,9).…”

Section: Introductionmentioning

confidence: 99%

TriDes – a new tool for the design, development and non-destructive evaluation of advanced construction steels

et al. 2016

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Design and development of advanced steel types require establishing an optimal combination of mechanical strength, resistance to hydrogen degradation and durability, among others; however, the available tools for assessing some of these properties are limited. A novel tool for supporting the design and development of steel types was therefore created. This tool, called TriDes, is based on the phenomenon of mechanically stimulated gas emission and allows for determining mechanical properties and hydrogen concentration locally, with high spatial resolution and during different phases of the service life of construction steel elements. Its applicability to the development of pipe steel with improved durability, as well as to steel types used in marine environments, has been investigated. RESUMEN: TriDes -una nueva herramienta para el diseño, desarrollo y evaluación no destructiva de aceros avanzados de construcción.El diseño y desarrollo de acero avanzado requiere establecer una combinación óptima de resistencia mecánica, resistencia a la degradación por hidrógeno y la durabilidad, entre otras. Sin embargo, las herramientas disponibles para evaluar experimentalmente algunas de estas propiedades son limitadas. Por lo tanto se creó una nueva herramienta, llamada TriDes. Esta técnica está basada en un principio físico distinto de los que se usan en las técnicas establecidas y combina la caracterización de hidrógeno en el acero en y la caracterización mecánica y/o tribológica. La técnica es portatil lo que permite determinar concentración local de hidrógeno con alta resolución espacial durante todo el ciclo de vida de elementos fabricados en acero y además evaluar la dureza y resistencia al desgaste del acero. Se ha investigado la capacidad de la técnica para el desarrollo de aceros para aplicaciones en gasoductos y construcciones marinas.

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Hydrogen Embrittlement Behavior of 430 and 445NF Ferritic Stainless Steels

Cited by 18 publications

References 36 publications

Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network

Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network

Constitutive Descriptions and Restoration Mechanisms of a Fe-17Cr Alloy during Deformation at Temperatures of 700–1000 °C

TriDes – a new tool for the design, development and non-destructive evaluation of advanced construction steels

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