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Cited article:

Prediction of Sulfur Content during Steel Refining Process Based on Machine Learning Methods

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Study on the Cleanliness of SWRS82B Hard Wire Steel Refined by Fluorine‐Free Slag with Medium and High Basicity

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steel research international 95 (6) (2024)
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Desulphurization Kinetic Prediction into a Steel Ladle by Coupling Thermodynamic Correlations, Fluidynamics and Heat Transfer

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ISIJ International 62 (6) 1189 (2022)
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Molecular Dynamics Study of Structural Properties of Refining Slag with Various CaO/Al2O3 Ratios

Hongxuan Zhao, Jingshe Li, Shufeng Yang, Jie Liu and Wei Liu
Minerals 11 (4) 398 (2021)
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Effects of Al-Mg alloy treatment on behavior and size of inclusions in SUH 409L stainless steel

Yang Liu and Nanfu Zong
Metallurgical Research & Technology 115 (1) 111 (2018)
https://doi.org/10.1051/metal/2017085

The Effect of Basicity and Calcium Fluoride on Glass-Ceramic Production and Iron Recovery from Copper Slag

Zhihong Yang and Zhenghai Ma
steel research international 88 (3) 1600145 (2017)
https://doi.org/10.1002/srin.201600145

A New Sulfide Capacity Model for CaO-Al2O3-SiO2-MgO Slags Based on Corrected Optical Basicity

Xin Hao and Xinhua Wang
steel research international 87 (3) 359 (2016)
https://doi.org/10.1002/srin.201500065

Mathematical simulation on slag entrainment in bottom-blowing gas ladle with immersed cylinder

De-hui Zhang, Ming-gang Shen, Chao Wu, et al.
Journal of Iron and Steel Research International 22 (S1) 48 (2015)
https://doi.org/10.1016/S1006-706X(15)30137-0