Characterization of a coating for radioprotection, by X-ray diffraction, scanning electron microscopy, and dispersive energy spectroscopy

Souza, Gladis Aparecida Galindo Reisemberger de; Paredes, Ramón Sigifredo Cortés; Barros, Frieda Saicla; Sucharski, Gustavo Bavaresco; Ribeiro, S.; Neto, Carlos Dalmaso; Santos, Larissa Ribas; ŃTchalá, Watena Ferreira; Costa, Felipe Bavaroski Toledo

doi:10.1016/j.conbuildmat.2022.126326

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two precipitations are obtained in the multistep precipitation, and BaSO 4 and CaCO 3 are the dominant chemical components, respectively. At present, the material containing BaSO 4 has a wave absorption property . Tasnim et al developed the high-density shielding materials containing higher percentage (>80%) of BaSO 4 and their gamma-ray attenuation parameters have been investigated.…”

Section: Resultsmentioning

confidence: 99%

“…At present, the material containing BaSO 4 has a wave absorption property. 27 Tasnim et al 28 developed the high-density shielding materials containing higher percentage (>80%) of BaSO 4 and their gamma-ray attenuation parameters have been investigated. The above research provides a possibility for the preparation of wave absorbances by using S 2 .…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Recyclable and Efficient Recovery of Ca and S from Phosphogypsum by Using Multistep Precipitation

Zhou,

Liu

et al. 2024

ACS Omega

View full text Add to dashboard Cite

The resource utilization of phosphogypsum (PG) is the key to promote the green development of the phosphorus chemical industry. The natural environment and public safety are significantly threatened by the enormous volume of PG storage. In this study, Ca and S were successfully recovered from the PG via a multistep precipitation in the NaOH−BaCO 3 system. The alkali solution can be recycled five times, with a first recovery ratio of about 97.9%, and the decomposition ratio of PG remained above 70% after five cycles. In addition, the recovery ratios of Ca and S in PG are 99.9 and 82.5%, respectively. The product of BaSO 4 can be used as a weighting agent for oil and natural gas drilling mud. The BaSO 4 can also be used as wave-absorbing materials, and its reflection loss value reaches 97.8% of the analytical purity BaSO 4 . This work provides a new idea for the efficient recycling of Ca and S in PG with an outstanding application prospect.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Recyclable and Efficient Recovery of Ca and S from Phosphogypsum by Using Multistep Precipitation

Zhou,

Liu

et al. 2024

ACS Omega

View full text Add to dashboard Cite

show abstract

“…These methods require sample preparation through grinding and polishing, which not only damages the samples but also introduces measurement errors. Hence, the application of non-destructive testing (NDT) techniques, such as microwave [13,14], ultrasonic [15,16], X-ray [17,18], and thermal infrared technology [19,20] is undoubtedly a better choice for evaluating TBCs [21]. However, these methods have certain limitations that prevent precise testing in a stable environment.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Method for Porosity Measurement of Thermal Barrier Coatings Using Terahertz Time-Domain Spectroscopy

et al. 2023

Coatings

View full text Add to dashboard Cite

Accurate measurement of porosity is crucial for comprehensive performance evaluation of thermal barrier coatings (TBCs) on aero-engine blades. In this study, a novel data-driven predictive method based on terahertz time-domain spectroscopy (THz-TDS) was proposed. By processing and extracting features from terahertz signals, multivariate parameters were composed to characterize the porosity. Principal component analysis, which enabled effective representation of the complex signal information, was introduced to downscale the dimensionality of the time-domain data. Additionally, the average power spectral density of the frequency spectrum and the extreme points of the first-order derivative of the phase spectrum were extracted. These extracted parameters collectively form a comprehensive set of multivariate parameters that accurately characterize porosity. Subsequently, the multivariate parameters were used as inputs to construct an extreme learning machine (ELM) model optimized by the sparrow search algorithm (SSA) for predicting porosity. Based on the experimental results, it was evident that the predictive accuracy of SSA-ELM was significantly higher than the basic ELM. Furthermore, the robustness of the model was evaluated through K-fold cross-validation and the final model regression coefficient was 0.92, which indicates excellent predictive performance of the data-driven model. By introducing the use of THz-TDS and employing advanced signal processing techniques, the data-driven model provided a novel and effective solution for the rapid and accurate detection of porosity in TBCs. The findings of this study offer valuable references for researchers and practitioners in the field of TBCs inspection, opening up new avenues for improving the overall assessment and performance evaluation of these coatings.

show abstract

Adsorption characteristics of Cu2+ on CeO2/SiO2 nanomaterials based on rice husk and its application to pre-concentration and determination in food samples

Dinh

Nguyen

et al. 2023

Colloid Polym Sci

View full text Add to dashboard Cite

Characterization of a coating for radioprotection, by X-ray diffraction, scanning electron microscopy, and dispersive energy spectroscopy

Cited by 4 publications

References 8 publications

Recyclable and Efficient Recovery of Ca and S from Phosphogypsum by Using Multistep Precipitation

Recyclable and Efficient Recovery of Ca and S from Phosphogypsum by Using Multistep Precipitation

Data-Driven Method for Porosity Measurement of Thermal Barrier Coatings Using Terahertz Time-Domain Spectroscopy

Adsorption characteristics of Cu2+ on CeO2/SiO2 nanomaterials based on rice husk and its application to pre-concentration and determination in food samples

Contact Info

Product

Resources

About