In-situ phase evolution of multi-component boride to high-entropy ceramic upon ultra-high temperature ablation

Guo, Lingxiang; Wang, Yuqi; Liu, Bing; Zhang, Yuyu; Tang, Ying; Li, Hongbin; Sun, Jia

doi:10.1016/j.jeurceramsoc.2022.11.019

Cited by 22 publications

(4 citation statements)

References 47 publications

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“…The computation formula of ΔG f is given by eq 3. 32 Figure 2a gives the computation results of thermodynamic parameters for CE, and Figure 2b illustrates the curve of Gibbs free energy changes plotted against temperature, demonstrating a decrease in Gibbs free energy changes with increasing temperature. It suggests that CE formation would be favored at higher temperatures.…”

Section: Resultsmentioning

confidence: 99%

“…A lower Δ G f indicates a higher possibility of the reaction taking place. The computation formula of Δ G f is given by eq Figure a gives the computation results of thermodynamic parameters for CE, and Figure b illustrates the curve of Gibbs free energy changes plotted against temperature, demonstrating a decrease in Gibbs free energy changes with increasing temperature.…”

Section: Resultsmentioning

confidence: 99%

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Synthesis and Carbonation Reactivity of Chlorellestadite: Ca₁₀(SiO₄)₃(SO₄)₃Cl₂

Lyu,

Zhu,

Hao

et al. 2024

ACS Sustainable Chem. Eng.

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Ca 10 (SiO 4 ) 3 (SO 4 ) 3 Cl 2 , CE) is an intermediate phase during ordinary Portland cement preparation and a potential component of the synthesized ecological clinker from solid wastes when sulfate and chlorine coexist. This study synthesized pure CE at 1100 °C with the assistance of theoretical thermodynamic calculations and revealed its carbonation reactivity. Analytical investigations were conducted to reveal the carbonation reactivity of CE and underlie the mechanism of strength development, including mineralogy and microstructural characterization. CE pastes could sequester 4.8% (by mass) of CO 2 and develop a compressive strength of 25.8 MPa after being subjected to 1 day carbonation curing with vaterite, gypsum, calcium chloride, and silica gel as carbonation products, far higher than that under normal hydraulic curing (1.5 MPa). It is concluded that CE is a carbonation-reactive and weakly hydraulic compound. The advantages of CE are not only the possibility to use sulfate-and chlorine-contained wastes as raw materials for synthesis to reduce the environmental risk of wastes but also to develop strength under carbonation curing to be a potential binder.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca₁₀(SiO₄)₃(SO₄)₃Cl₂

Lyu,

Zhu,

Hao

et al. 2024

ACS Sustainable Chem. Eng.

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“…The Ebi reflects the ability of interdiffusion among HfO2, ZrO2 and TiO2, with a smaller value implying a higher solid solution ability [37].…”

Section: The Initial Oxidation Behavior Analysismentioning

confidence: 99%

Superior synergistic oxidation resistance of medium-entropy carbide ceramic powders rather than multi-phase carbide ceramic powders

Li,

Lu,

et al. 2024

Journal of Advanced Ceramics

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“…Ultra-high-temperature CMCs have a wide range of industrial applications, including space and aerospace propulsion, turbine engines, and nuclear reactors. They can tolerate high thermal loads in harsh conditions [19]. Therefore, it is important to forecast the ultra-high-temperature CMCs' ablation ability to learn more about how long they will last in harsh conditions.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites

Deb,

Gou,

Song

et al. 2024

J. Compos. Sci.

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Materials used in aircraft engines, gas turbines, nuclear reactors, re-entry vehicles, and hypersonic structures are subject to severe environmental conditions that present significant challenges. With their remarkable properties, such as high melting temperatures, strong resistance to oxidation, corrosion, and ablation, minimal creep, and advantageous thermal cycling behavior, ceramic matrix composites (CMCs) show great promise as a material to meet the strict requirements in these kinds of environments. Furthermore, the addition of boron nitride nanoparticles with continuous fibers to the CMCs can offer thermal resistivity in harsh conditions, which will improve the composites’ strength and fracture toughness. Therefore, in extreme situations, it is crucial to understand the thermal resistivity period of composite materials. To forecast the ablation performance of composites, we developed six machine learning regression methods in this study: decision tree, random forest, support vector machine, gradient boosting, extreme gradient boosting, and adaptive boosting. When evaluating model performance using metrics including R2 score, root mean square error, mean absolute error, and mean absolute percentage error, the gradient boosting and extreme gradient boosting machine learning regression models performed better than the others. The effectiveness of machine learning models as a useful tool for forecasting the ablation behavior of ceramic matrix composites was effectively explained by this study.

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In-situ phase evolution of multi-component boride to high-entropy ceramic upon ultra-high temperature ablation

Cited by 22 publications

References 47 publications

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca₁₀(SiO₄)₃(SO₄)₃Cl₂

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca₁₀(SiO₄)₃(SO₄)₃Cl₂

Superior synergistic oxidation resistance of medium-entropy carbide ceramic powders rather than multi-phase carbide ceramic powders

Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites

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In-situ phase evolution of multi-component boride to high-entropy ceramic upon ultra-high temperature ablation

Cited by 22 publications

References 47 publications

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca10(SiO4)3(SO4)3Cl2

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca10(SiO4)3(SO4)3Cl2

Superior synergistic oxidation resistance of medium-entropy carbide ceramic powders rather than multi-phase carbide ceramic powders

Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites

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Product

Resources

About

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca₁₀(SiO₄)₃(SO₄)₃Cl₂

Synthesis and Carbonation Reactivity of Chlorellestadite: Ca₁₀(SiO₄)₃(SO₄)₃Cl₂