High temperature treatment of Cr3C2@SiC-NFA composites in water vapor environment

Bawane, Kaustubh; Ning, Kaijie; Lu, Kathy

doi:10.1016/j.corsci.2017.12.007

Cited by 8 publications

(3 citation statements)

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“…properties as reported in our previous studies [32,35]. Such composites with combined properties of NFA and SiC can serve as a promising candidate for fuel cladding to replace existing Zircalloy based materials.…”

Section: Introductionsupporting

confidence: 63%

SiC-ODS Alloy Gradient Nanocomposites as Novel Cladding Materials

Byun

Rooyen

2018

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Section: Introductionsupporting

confidence: 63%

SiC-ODS Alloy Gradient Nanocomposites as Novel Cladding Materials

Byun

Rooyen

2018

Self Cite

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“…In the short term, the technology of domesticating algae eating insects can be used to phagocytize the excessive algae in water body and improve the transparency of water body. Algae eater is a large cladocera zooplankton; after artificial domestication, it will feed on algae and rotten debris in the water [27]. To use this technology, different treatment methods should be adopted in three periods.…”

Section: New Measures For Ecological Water Environmentmentioning

confidence: 99%

Application of Artificial Intelligence in the Process of Ecological Water Environment Governance and Its Impact on Economic Growth

Wei

2021

Mathematical Problems in Engineering

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With the increasing pollution of the ecological water environment, the treatment of the ecological water environment has become the focus of everyone’s attention. At present, there are many research results on water environment governance, but the effect is not ideal. In order to effectively control the ecological water environment and promote sustainable economic growth, this research combines artificial intelligence algorithms and applies them to the governance process to explore its application effects and its impact on economic growth. First, the environmental sensor of the corresponding module is designed according to the water environment factor, and the data of dissolved oxygen content, water temperature, turbidity, temperature and humidity, and smoke concentration in the water environment are collected. Then the dynamic time-varying exponential smoothing prediction method is used to predict water quality, and a water quality prediction model is established. Then use support vector machine (SVM) to train the collected data samples, use the decision tree-based SVM classification method to classify the data samples, establish a water quality evaluation model, and use particle swarm optimization algorithm to optimize the evaluation model. Put the sensors and predictive evaluation models established in this research design into the governance of a certain river reach, and collect relevant data from 7 : 00 to 18 : 00 on October 11, 2019. And predict and evaluate its water quality. The experimental results show that the average absolute error of predicting dissolved oxygen content is 0.97%, and the average absolute error of predicting phosphorus content is 2.27%. This shows that the application of artificial intelligence algorithms in the process of ecological water environmental governance can effectively help collect effective information and make more accurate predictions and evaluations of water quality, thereby improving governance efficiency and promoting sustainable economic growth.

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“…In addition, when turbine engines work in marine environments, salt from the atmosphere accumulates on turbine blades and the moist air with enough water vapor is assimilated in the machines at the same time, resulting in corrosion caused by both deposited salt and water vapor. 1) It is well known that the oxidation resistance of alloy can be remarkably deteriorated by the addition of NaCl 2,3) or water vapor 4,5) in air at high temperature. Therefore, in order to develop high corrosion-resistant alloys in marine environment, extensive studies have been conducted on investigating the corrosion mechanism of pure Fe, 6) Fe-Cr, 7) pure Cr, 8) 1Cr11NiW2MoV 9) and Ti60 10) alloys with solid NaCl deposits in water vapor at 500-700°C.…”

Section: Introductionmentioning

confidence: 99%

Corrosion Behaviour of TiC Particle-reinforced 304 Stainless Steel in Simulated Marine Environment at 650°C

Zhang

et al. 2019

ISIJ Int.

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Corrosion behaviour of 304SS and TiC-reinforced 304SS in simulated marine environment at 650°C, compared with that of 304SS in air, has been investigated. The corrosion of 304SS in marine environment is more severe than that in air due to the effect of NaCl and water vapor. For TiC-304SS, a finer microstructure and higher dislocation density formed by TiC addition accelerates chromium diffusion. The formation of TiO 2 by the oxidation of TiC possibly assists chromia nucleation and increases the adhesion of chromia scale. As a result, corrosion resistance is increased. However, the corrosion rate of 304SS-6TiC is faster than that of 304SS-2TiC and the possible reason to cause this is discussed.

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High temperature treatment of Cr3C2@SiC-NFA composites in water vapor environment

Cited by 8 publications

References 50 publications

SiC-ODS Alloy Gradient Nanocomposites as Novel Cladding Materials

SiC-ODS Alloy Gradient Nanocomposites as Novel Cladding Materials

Application of Artificial Intelligence in the Process of Ecological Water Environment Governance and Its Impact on Economic Growth

Corrosion Behaviour of TiC Particle-reinforced 304 Stainless Steel in Simulated Marine Environment at 650°C

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