Improving the high-temperature properties of a new generation of Fe-Al-O oxide-precipitation-hardened steels

Khalaj, Omid; Jirková, Hana; Janda, Tomáš; Kučerová, Ludmila; Studecký, Tomáš; Svoboda, Jiřı́

doi:10.17222/mit.2018.227

Cited by 8 publications

(10 citation statements)

References 21 publications

(22 reference statements)

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“…The first comparison was performed for the creep at a relative level of tensile loading, corresponding to 60 % of PS. The decrease of tensile properties is in agreement with microstructural changes and follows the literature [4,11,15,16]. The increase of the grain and particle size was accompanied by decreased material strength and an increase of ductility.…”

Section: Resultssupporting

confidence: 90%

Creep properties of heat-treated Fe-Al-O ODS alloy

Fintová¹,

Kuběna²,

Jarý³

et al. 2021

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Three different heat treatment regimens were used to modify the microstructure of Fe-Al-O ODS alloy prepared via powder metallurgy. Creep testing at 60 % of alloy state proof stress revealed the highest time to fracture for the bimodal coarse-grained microstructure of the batch heat-treated at 1200 • C for 24 h. Heat treatment at 1100 • C did not significantly influence the creep resistance of the alloy at 60 % of proof stress creep loading. However, the highest creep resistance was achieved by the strongest hindering of dislocations motion, which can be achieved by decreasing the grain size and increasing the density of dispersed particles, which was the case of the basic state material. Creep damage occurred in the specimens' whole volume, and it was characterized by the growth and coalescence of intergranular cavities. K e y w o r d s : creep, mechanical alloying, powder consolidation, scanning electron microscopy (SEM), electron backscattering diffraction (EBSD)

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Section: Resultssupporting

confidence: 90%

Creep properties of heat-treated Fe-Al-O ODS alloy

Fintová¹,

Kuběna²,

Jarý³

et al. 2021

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“…The results show that the UTS decreases as Al content increases. Previous experiences of the authors show that the average UTS for such an OPH with similar chemical components is between 800 to 900 MPa [18,26,27], which confirms the measured results. Such a high value of UTS is most probably caused by the rather high number density of oxides in the OPH alloy.…”

Section: Metallographic Analysissupporting

confidence: 87%

“…Such a high value of UTS is most probably caused by the rather high number density of oxides in the OPH alloy. The influence of excess oxygen on the tensile strength is also confirmed by previous research [17,18,28], reporting that for a low content of 0.12% oxygen, almost the highest tensile strength is achieved, while higher excess oxygen made the tensile properties deteriorate. The deterioration can, however, be explained by the fact that the excess oxygen is not bound in stable oxides.…”

Section: Metallographic Analysissupporting

confidence: 81%

“…Terada et al reported that the corrosion resistance of Eurofer 97 steel even decreased with the percentage of oxides dispersion. Based on the various experiences of the authors [4,[17][18][19] and following the recent findings about the new generations of ODS steels, the authors have developed a new, low-cost, oxide precipitation hardened (OPH) Fe-xAl-14Cr-3Y 2 O 3 -3Mo steel. The matrix with various wt% of Al is solely ferritic, without a phase transformation, up to a temperature of 1500 • C, which is comparable to the mechanical properties of existing Fe-Cr-Y 2 O 3 -based ODS steels.…”

Section: Introductionmentioning

confidence: 99%

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High Temperature and Corrosion Properties of A Newly Developed Fe-Al-O Based OPH Alloy

Khalaj

Saebnoori

Jirková

et al. 2020

Metals

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Fe–Al–O-based materials are currently undergoing a great deal of development because of their many special properties. However, lack of strength at high temperatures, limited ductility at ambient temperatures and corrosion resistance have hindered a wider application of these materials. Recently, a new Fe–Al-based oxide precipitation hardened (OPH) steel was developed by the authors to improve the mechanical properties and oxidation resistance. The new OPH alloys are produced by dissolving a specific amount of oxygen in the matrix during mechanical alloying followed by precipitation of fine dispersion of aluminum or yttrium oxides during hot consolidation. A series of tests was performed to evaluate the thermomechanical properties and corrosion resistance in a 3.5% NaCl solution. The results show improved corrosion resistance, as well as mechanical properties, while the production costs of this material are lower than for traditional materials.

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“…Y 2 O 3 is one of the typical oxides usually used to develop ODS as well as OPH alloys. However, its strengthening effect is not ideal due to its coarsening at high temperatures [9][10][11]. To reduce the size of oxide dispersoids and produce stable oxide dispersoids, reactive elements, such as Cr, Ti, and Zr, could be added to the Al-free ODS alloys [12,13].…”

Section: Introductionmentioning

confidence: 99%

Development of Machine Learning Models to Evaluate the Toughness of OPH Alloys

et al. 2021

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Oxide Precipitation-Hardened (OPH) alloys are a new generation of Oxide Dispersion-Strengthened (ODS) alloys recently developed by the authors. The mechanical properties of this group of alloys are significantly influenced by the chemical composition and appropriate heat treatment (HT). The main steps in producing OPH alloys consist of mechanical alloying (MA) and consolidation, followed by hot rolling. Toughness was obtained from standard tensile test results for different variants of OPH alloy to understand their mechanical properties. Three machine learning techniques were developed using experimental data to simulate different outcomes. The effectivity of the impact of each parameter on the toughness of OPH alloys is discussed. By using the experimental results performed by the authors, the composition of OPH alloys (Al, Mo, Fe, Cr, Ta, Y, and O), HT conditions, and mechanical alloying (MA) were used to train the models as inputs and toughness was set as the output. The results demonstrated that all three models are suitable for predicting the toughness of OPH alloys, and the models fulfilled all the desired requirements. However, several criteria validated the fact that the adaptive neuro-fuzzy inference systems (ANFIS) model results in better conditions and has a better ability to simulate. The mean square error (MSE) for artificial neural networks (ANN), ANFIS, and support vector regression (SVR) models was 459.22, 0.0418, and 651.68 respectively. After performing the sensitivity analysis (SA) an optimized ANFIS model was achieved with a MSE value of 0.003 and demonstrated that HT temperature is the most significant of these parameters, and this acts as a critical rule in training the data sets.

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Improving the high-temperature properties of a new generation of Fe-Al-O oxide-precipitation-hardened steels

Cited by 8 publications

References 21 publications

Creep properties of heat-treated Fe-Al-O ODS alloy

Creep properties of heat-treated Fe-Al-O ODS alloy

High Temperature and Corrosion Properties of A Newly Developed Fe-Al-O Based OPH Alloy

Development of Machine Learning Models to Evaluate the Toughness of OPH Alloys

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