In situ observation of the dissolution kinetics of Al2O3 particles in CaO-Al2O3-SiO2 slags using laser confocal scanning microscopy

Ren, Changyu; Huang, Caide; Zhang, Lifeng; Ren, Ying

doi:10.1007/s12613-021-2347-6

Cited by 16 publications

(4 citation statements)

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“…Often the gathered image data is manually analysed [9][10][11] , however cannot provide full statistical analysis due to the necessary expenditure of time 12,13 . Further, the manual characterization strongly depends on the operator, and hence is problematic for a large amount of data volume or complex image data.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, accurate dissolution experiments and quanti cation are essential for designing refractory products with more wear resistant and long service life. In this context a prerequisite for understanding the dissolution mechanism 9,30,37,41 is to evaluate the dissolving particle diameter over time. High temperature -confocal laser scanning microscopy (HT-CLSM) represents an important imaging method for the in-situ observation and quanti cation of the dissolution of micro-particle in the corrosive melt 13,30,32,35,[42][43][44][45][46][47][48][49][50] .…”

Section: Introductionmentioning

confidence: 99%

“…High temperature -confocal laser scanning microscopy (HT-CLSM) represents an important imaging method for the in-situ observation and quanti cation of the dissolution of micro-particle in the corrosive melt 13,30,32,35,[42][43][44][45][46][47][48][49][50] . It is critical to analyse dissolving particle images with time by utilizing the HT-CLSM in-situ experiment in order to acquire the dissolution kinetics 9,51 . This analyses usually involves manually marking or painting particles edges of limited images data from the HT-CLSM experiment 9,12,13,44,46 and calculating their equivalent diameter using free image processing tools like ImageJ or NIH software 52 (see Supplementary Note 1 and Supplementary Fig.…”

Section: Introductionmentioning

confidence: 99%

“…It is critical to analyse dissolving particle images with time by utilizing the HT-CLSM in-situ experiment in order to acquire the dissolution kinetics 9,51 . This analyses usually involves manually marking or painting particles edges of limited images data from the HT-CLSM experiment 9,12,13,44,46 and calculating their equivalent diameter using free image processing tools like ImageJ or NIH software 52 (see Supplementary Note 1 and Supplementary Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

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Deep Learning revealed statistics of the MgO particles dissolution rate in a CaO–Al2O3–SiO2–MgO slag

Brunner,

Chamasemani,

Lenzhofer

2024

Preprint

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Accelerated material development for refractory ceramics triggers enhanced possibilities in context to enhanced energy efficiency for industrial processes. Here, the gathering of comprehensive material data is essential. High temperature-confocal laser scanning microscopy (HT-CLSM) displays a highly suitable in-situ method to study the dissolution kinetics within the slag over time. However, a major challenge concerns the efficient and accurate processing of the large amount of collected image data. Here, the application of encoder-decoder convolutional network (U-Net) for the fully automated evaluation of the particle dissolution rate, overcoming manual evaluation drawbacks and providing accurate, fast and, sufficient statistical information is introduced. The developed U-Net allows an automated diameter evaluation of the MgO particles' dissolution in the silicate slag from 15 HT-CLSM experiments at three experimental temperatures 1450, 1500, and 1550°C. Moreover, the model can be applied to particle tracking and identification in various domains.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Deep Learning revealed statistics of the MgO particles dissolution rate in a CaO–Al2O3–SiO2–MgO slag

Brunner,

Chamasemani,

Lenzhofer

2024

Preprint

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Effect of Cerium Addition on Microstructure and Mechanical Properties of the Ductile Iron

Xie,

Liu,

Ren

et al. 2024

steel research int.

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The effect of the cerium addition on the microstructure and properties of the ductile iron is investigated. The ferrocerium is added to obtain ductile iron samples with cerium contents of 10–750 ppm. In the ductile iron with a cerium content of 60 ppm, the amount and the spheroidization rate of graphites are the highest. The tensile strength of the ductile iron is 488 MPa and the elongation rate reaches 20.17%. For the ductile iron with a high toughness demand, it is necessary to add 60 ppm Ce in the ductile iron to increase the number density and spheroidization rate of graphites. The formation of CeS inclusions effectively promotes the heterogeneous nucleation of graphites, increasing the amount of graphites. The stronger carbon diffusion during the eutectic process increases the ferrite formation in the ductile iron, leading to a lower tensile strength and a higher elongation rate. When the cerium content exceeds 460 ppm, the precipitated Ce2C3 significantly reduces the performance of the ductile iron.

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Concept of Inclusion Capacity of Slag and Its Application on the Dissolution of Al2O3, ZrO2 and SiO2 Inclusions in CaO–Al2O3–SiO2 Slag

Gou

Liu

Ren

et al. 2023

Metall Mater Trans B

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In situ observation of the dissolution kinetics of Al2O3 particles in CaO-Al2O3-SiO2 slags using laser confocal scanning microscopy

Cited by 16 publications

References 50 publications

Deep Learning revealed statistics of the MgO particles dissolution rate in a CaO–Al2O3–SiO2–MgO slag

Deep Learning revealed statistics of the MgO particles dissolution rate in a CaO–Al2O3–SiO2–MgO slag

Effect of Cerium Addition on Microstructure and Mechanical Properties of the Ductile Iron

Concept of Inclusion Capacity of Slag and Its Application on the Dissolution of Al2O3, ZrO2 and SiO2 Inclusions in CaO–Al2O3–SiO2 Slag

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