Resistance of High-Nickel, Heat-Resisting Alloys to Air and to Supercritical CO2 at High Temperatures

Olivares, Rene I.; Young, David J.; Nguyen, Thuan Dinh; Marvig, Paul

doi:10.1007/s11085-017-9820-7

Cited by 38 publications

(19 citation statements)

References 35 publications

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“…So far, most of the studies addressing high-temperature oxidation of materials in sCO 2 have been performed in research-grade (RG) sCO 2 (purity 99.999%) [i.e., [8][9][10][11][12][13]. Although various materials, especially higher-alloyed ones, perform satisfactorily in RG sCO 2 , it has been reported to initiate breakaway corrosion of Crrich stainless steel through the growth of an Fe-rich oxide and rapid precipitation of internal Cr carbides [14] due to C ingress into the alloy [15].…”

Section: Introductionmentioning

confidence: 99%

A Tracer Study on sCO2 Corrosion with Multiple Oxygen-Bearing Impurities

et al. 2021

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Several modern power production systems utilize supercritical CO2 (sCO2), which can contain O2 and H2O as impurities. These impurities may degrade the compatibility of structural alloys through accelerated oxidation. However, it remains unclear which of these impurities plays a bigger role in high-temperature reactions taking place in sCO2. In this study, various model and commercial Fe‐ and Ni‐based alloys were exposed in 300 bar sCO2 at 750 °C to low levels (50 ppm) of O2 and H2O for 1,000 h. 18O-enriched water was used to enable the identification of the oxygen source in the post-exposure characterization of the samples. However, oxygen from the water did not accumulate in the scale, which consisted of Cr2O3 in the cases where a protective oxide formed. A 2wt.% Ti addition to a Ni-22%Cr model alloy resulted in the formation of thicker oxides in sCO2, while a 1wt.% Al addition reduced the scale thickness. A synergistic effect of both Al and Ti additions resulted in an even thicker oxide than what was formed solely by Ti, similar to observations for Ni-based alloy 282.

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Section: Introductionmentioning

confidence: 99%

A Tracer Study on sCO2 Corrosion with Multiple Oxygen-Bearing Impurities

et al. 2021

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“…This will lead to the consumption of Cr in the subsurface zone and suppress the formation of external chromia. In addition, carbon could diffuse inwards through chromia scales via oxide grain boundaries [5][6][7]. Therefore, just relying on external chromia scale to obtain excellent carbon resistance is difficult.…”

Section: Introductionmentioning

confidence: 99%

Carburization effect of Austenitic alloys with various Cr and Al additions under the methane/hydrogen atmosphere on the corrosion behaviors of steels

Shu

Cui

2021

Mater Eng Res

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The corrosion behaviors of six Fe-19Ni-13/21Cr-xAl (x = 0, 2, 6 at. %) alloys in 10% CH4/H2 at 800oC were investigated. 2 at. % Al did not affect the corrosion resistance obviously, while 6 at. % Al reduced the carbon attack completely for Fe-19Ni-13Cr-6Al but was still insufficient to form protective alumina scales for alloys with 21 at. % Cr. An increase of Cr content changed the appearance of the internal carburization zone under the optical microscope. Stability diagrams of M-C-O system（M= Cr, Fe）were established to estimate the diffusion paths of carbon in the alloys.

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“…Growing demand for new technologies enhanced the queries for advanced material with innovative properties, especially, high oxidation resistance, mechanical strength, and fabric ability. By consideration of these properties, alloys divided into the type with surface layer of Cr2O3 based scale for the oxidation behavior, and the type with Al2O3-based scale layer for protection against environmental agent [3][4][5][6]. Haynes alloy 230 is one of the most convenient Nibased alloys with the surface layer of Cr2O3 based scale types.…”

Section: Introductionmentioning

confidence: 99%

“…While the oxidation resistance of Fe and Ni-base alloys are affected by W and Mo in various mechanisms. Typically, the presence of a higher contents of refractory metals, e.g., Mo, W, Ta, Re, is necessary for higher creep strength of Ni-based alloys [5,9].…”

Section: Introductionmentioning

confidence: 99%

Modified Particle Swarm Optimization-Artificial Neural Network and Gene Expression Programing for Predicting High Temperature Oxidation Behavior of Ni–Cr–W-Mo Alloys

Hasibi

Mahmoudian

Khayati

2020

IJE

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This paper is an attempt to model the oxidation behavior of Ni-base alloys by considering the alloying elements, i.e., Cr, W, Mo, as variables. Modified particle swarm optimization-artificial neural network (MPSO-ANN) and gene expression programming (GEP) techniques were employed for modeling. Data set for construction of (MPSO-ANN) and GEP models selected from 66 cyclic oxidation performed in the temperature range of 400-1150 ᵒC for 27 different Ni-based alloy samples at various amounts of Cr, W, and Mo. The weight percent of alloying elements selected as input variables and the changes of weight during the oxidation cycle considered as output. To analyze the performance of proposed models, various statistical indices, viz. root mean squared error (RMSE) and the correlation coefficient between two data sets (R 2) were utilized. The collected data of GEP randomly divided into 21 training sets and 6 testing sets. The results confirmed that the possibility of oxidation behavior modeling using GEP by R 2 = 0.981, RMSE =0.0822. By consideration of oxidation resistance as criteria, Cr, Mo, and W enhanced the oxidation resistance of Ni-based alloys. The results showed that in the presence of Cr as alloying element, especially at Cr contents higher than 22 wt.%, the effect of W and Mo were negligible. However, the same trend was reversed at the sample with Cr content lower than 20 wt.%. In these cases, the effect of W and Mo on oxidation resistance were significantly enhanced.

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Resistance of High-Nickel, Heat-Resisting Alloys to Air and to Supercritical CO2 at High Temperatures

Cited by 38 publications

References 35 publications

A Tracer Study on sCO2 Corrosion with Multiple Oxygen-Bearing Impurities

A Tracer Study on sCO2 Corrosion with Multiple Oxygen-Bearing Impurities

Carburization effect of Austenitic alloys with various Cr and Al additions under the methane/hydrogen atmosphere on the corrosion behaviors of steels

Modified Particle Swarm Optimization-Artificial Neural Network and Gene Expression Programing for Predicting High Temperature Oxidation Behavior of Ni–Cr–W-Mo Alloys

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