XPS and SEM analysis of the surface of gas atomized powder precursor of ODS ferritic steels obtained through the STARS route

Gil, E.; Cortés, J. A.; Iturriza, I.; Ordás, N.

doi:10.1016/j.apsusc.2017.07.205

Cited by 37 publications

(12 citation statements)

References 39 publications

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“…During the preparation process of the FeCrAl alloy powders, the atomized powders inevitably came into contact with air and were subsequently oxidized [ 39 ]. As a result, Fe- and Cr-metastable oxides would form on the surface [ 31 , 32 , 33 , 35 ]. Afterward, these metastable oxides would decompose during the HIP process, the oxygen from the decomposition would diffuse into the grains and then react with Y and Al to form more stable oxides [ 31 , 32 , 33 , 34 , 35 ].…”

Section: Discussionmentioning

confidence: 99%

“…As a result, Fe- and Cr-metastable oxides would form on the surface [ 31 , 32 , 33 , 35 ]. Afterward, these metastable oxides would decompose during the HIP process, the oxygen from the decomposition would diffuse into the grains and then react with Y and Al to form more stable oxides [ 31 , 32 , 33 , 34 , 35 ].…”

Section: Discussionmentioning

confidence: 99%

“…During the GARS and STARS processes, the metastable Fe- and Cr-rich oxide scale is formed on the surface of gas atomized powders. Additionally, the metastable oxides are transformed into stable and dispersed oxides during hot isostatic pressing (HIP) [ 32 , 34 , 35 ]. Without the MA process, the thermally stable alumina oxides on the surface of gas atomized powders formed prior particle boundaries (PPBs) that resulted in a coarse grain size during the HIP process [ 33 ] and were detrimental to the mechanical properties of ODS alloys.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Thermo-Mechanical Treatment on the Microstructure and Tensile Properties of the Fe-22Cr-5Al-0.1Y Alloy

et al. 2021

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Oxide dispersion strengthened ferritic steel is considered an important structural material in fusion reactors due to its excellent resistance to radiation and oxidation. Fine and dispersed oxides can be introduced into the matrix via the powder metallurgy process. In the present study, large grain sizes and prior particle boundaries (PPBs) formed in the FeCrAlY alloy prepared via powder metallurgy. Thermo-mechanical treatment was conducted on the FeCrAlY alloy. Results showed that microstructure was optimized: the average grain diameter decreased, the PPBs disappeared, and the distribution of oxides dispersed. Both ultimate tensile strength and elongation improved, especially the average elongation increased from 0.5% to 23%.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of Thermo-Mechanical Treatment on the Microstructure and Tensile Properties of the Fe-22Cr-5Al-0.1Y Alloy

et al. 2021

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“…These electrons emerge from a depth of about 10 nm of the sample surface, and their typical energies are at most 50 eV. Secondary electrons are collected by means of the photomultiplier tube and associated with the scan signal location, for example, to obtain a surface image [19].…”

Section: Scanning Electron Microscope Analysismentioning

confidence: 99%

Prediction of Viscosity Values of Nanofluids at Different pH Values by Alternating Decision Tree and Multilayer Perceptron Methods

Demirpolat

Daş

2019

Applied Sciences

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Due to the poor thermal properties of conventional thermal fluids such as water, oil and ethylene glycol, small solid particles are added to these fluids to enhance heat transfer. Since the viscosity change determines the rheological behavior of a liquid, it is very important to examine the parameters affecting the viscosity. Since the experimental viscosity measurement is expensive and time-consuming, it is more practical to estimate this parameter. In this study, CuO (copper oxide) nanoparticles were produced and then Scanning Electron Microscope (SEM) images analyses of the produced particles were made. Nanofluids were obtained by using pure water, ethanol and ethylene glycol materials together with the produced nanoparticles and the viscosity values were calculated by experimental setups at different density and temperatures. For the viscosity values of nanofluids, predictive models were created by using different computational intelligence methods. Mean square error (MSE), root mean square error (RMSE) and mean absolute percentage error (MAPE) error analyses were used to determine the accuracy of the predictive models. The multilayer perceptron method, which has the least error value in computational methods, was chosen as the best predicting method. The multilayer perceptron method, with an average accuracy of 51%, performed better than the alternating decision tree method. As a result, the viscosity increased with the increase in the pH of the nanofluids produced by adding CuO nanoparticles and decreased with the increase in the temperature of the nanofluids. The importance of this study is to create a predictive model using computational intelligence methods for viscosity values calculated with different pH values.

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“…Carbon materials play a vital role in the utilization of solar energy. [42][43][44][45][46] Because carbon materials as catalysts produce free radicals under ultraviolet radiation, they can improve the catalytic performance and promote the degradation of organic pollutants via the interaction of carbon and light. 47,48 Therefore, assembling Co x Ni 1Àx Fe 2 O 4 particles on MWCNTs to prepare a novel carbon-based photocatalyst, Co x Ni 1Àx Fe 2 O 4 / MWCNTs, is greatly signicant to improve the photocatalytic performance and application in environmental remediation.…”

Section: Introductionmentioning

confidence: 99%

The synthesis of Co_xNi_1−xFe₂O₄/multi-walled carbon nanotube nanocomposites and their photocatalytic performance

et al. 2019

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XPS and SEM analysis of the surface of gas atomized powder precursor of ODS ferritic steels obtained through the STARS route

Cited by 37 publications

References 39 publications

Effect of Thermo-Mechanical Treatment on the Microstructure and Tensile Properties of the Fe-22Cr-5Al-0.1Y Alloy

Effect of Thermo-Mechanical Treatment on the Microstructure and Tensile Properties of the Fe-22Cr-5Al-0.1Y Alloy

Prediction of Viscosity Values of Nanofluids at Different pH Values by Alternating Decision Tree and Multilayer Perceptron Methods

The synthesis of Co_xNi_1−xFe₂O₄/multi-walled carbon nanotube nanocomposites and their photocatalytic performance

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XPS and SEM analysis of the surface of gas atomized powder precursor of ODS ferritic steels obtained through the STARS route

Cited by 37 publications

References 39 publications

Effect of Thermo-Mechanical Treatment on the Microstructure and Tensile Properties of the Fe-22Cr-5Al-0.1Y Alloy

Effect of Thermo-Mechanical Treatment on the Microstructure and Tensile Properties of the Fe-22Cr-5Al-0.1Y Alloy

Prediction of Viscosity Values of Nanofluids at Different pH Values by Alternating Decision Tree and Multilayer Perceptron Methods

The synthesis of CoxNi1−xFe2O4/multi-walled carbon nanotube nanocomposites and their photocatalytic performance

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Product

Resources

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The synthesis of Co_xNi_1−xFe₂O₄/multi-walled carbon nanotube nanocomposites and their photocatalytic performance