An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems
The stability of slag during the electroslag remelting (ESR) process significantly impacts the quality of the final ingot. Slag compositions that are closer to the eutectic point exhibit enhanced stability during the remelting process. However, traditional methods for identifying eutectic points rel...
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Elsevier
2025-03-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S223878542500119X |
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| author | Yi-ming Li Jia-long Tian Zhou-hua Jiang |
| author_facet | Yi-ming Li Jia-long Tian Zhou-hua Jiang |
| author_sort | Yi-ming Li |
| collection | DOAJ |
| description | The stability of slag during the electroslag remelting (ESR) process significantly impacts the quality of the final ingot. Slag compositions that are closer to the eutectic point exhibit enhanced stability during the remelting process. However, traditional methods for identifying eutectic points rely on pseudo-ternary phase diagrams, which are time-consuming and fail to convert graphical information into numerical data, limiting computational screening. This study uses CaF2–Al2O3–CaO–MgO–SiO2 quaternary slag as an example and sets a commonly used slag composition screening range based on industrial practice. By utilizing FactSage thermodynamic data and machine learning (ML), the liquidus temperatures of all slags within this screening range are calculated. A mathematical model incorporating the characteristics of eutectic points was established, converting the graphical position data of slag eutectic points into numerical data. This allows for the direct computation of slag eutectic points in high-dimensional space using a computer. The computational results showed that there are 13 eutectic points within the screening range. After validation, this method proved to be reliable and efficient for identifying eutectic points in quaternary and higher-order slags. Additionally, using the numerical position data of the slags, two methods were proposed to calculate the distance from any slag compositions to the nearest eutectic point. This allows researchers to quickly screen target slag compositions by setting filtering criteria, further advancing the field of slag computational science. |
| format | Article |
| id | doaj-art-79976825140d49c3997ffe548c21b478 |
| institution | Kabale University |
| issn | 2238-7854 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-79976825140d49c3997ffe548c21b4782025-02-12T05:31:11ZengElsevierJournal of Materials Research and Technology2238-78542025-03-013534323439An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systemsYi-ming Li0Jia-long Tian1Zhou-hua Jiang2School of Metallurgy, Northeastern University, Shenyang, 110819, PR ChinaSchool of Metallurgy, Northeastern University, Shenyang, 110819, PR ChinaSchool of Metallurgy, Northeastern University, Shenyang, 110819, PR China; State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, 110819, PR China; Corresponding author. School of Metallurgy, Northeastern University, Shenyang, 110819, PR China.The stability of slag during the electroslag remelting (ESR) process significantly impacts the quality of the final ingot. Slag compositions that are closer to the eutectic point exhibit enhanced stability during the remelting process. However, traditional methods for identifying eutectic points rely on pseudo-ternary phase diagrams, which are time-consuming and fail to convert graphical information into numerical data, limiting computational screening. This study uses CaF2–Al2O3–CaO–MgO–SiO2 quaternary slag as an example and sets a commonly used slag composition screening range based on industrial practice. By utilizing FactSage thermodynamic data and machine learning (ML), the liquidus temperatures of all slags within this screening range are calculated. A mathematical model incorporating the characteristics of eutectic points was established, converting the graphical position data of slag eutectic points into numerical data. This allows for the direct computation of slag eutectic points in high-dimensional space using a computer. The computational results showed that there are 13 eutectic points within the screening range. After validation, this method proved to be reliable and efficient for identifying eutectic points in quaternary and higher-order slags. Additionally, using the numerical position data of the slags, two methods were proposed to calculate the distance from any slag compositions to the nearest eutectic point. This allows researchers to quickly screen target slag compositions by setting filtering criteria, further advancing the field of slag computational science.http://www.sciencedirect.com/science/article/pii/S223878542500119XEutectic pointsSlag designMachine learningDigitization of graphical informationElectroslag remelting (ESR) |
| spellingShingle | Yi-ming Li Jia-long Tian Zhou-hua Jiang An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems Journal of Materials Research and Technology Eutectic points Slag design Machine learning Digitization of graphical information Electroslag remelting (ESR) |
| title | An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems |
| title_full | An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems |
| title_fullStr | An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems |
| title_full_unstemmed | An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems |
| title_short | An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems |
| title_sort | advanced approach to directly calculate eutectic points in quaternary and higher order slags a case study on caf2 al2o3 cao mgo sio2 slag systems |
| topic | Eutectic points Slag design Machine learning Digitization of graphical information Electroslag remelting (ESR) |
| url | http://www.sciencedirect.com/science/article/pii/S223878542500119X |
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