Characterization of Inclusion Populations in Mn-Si Deoxidized Steel
Autor: | Arturo Isaias Martinez-Enriquez, M. Herrera-Trejo, Edgar Ivan Castro-Cedeno, M. J. Castro-Román, Alfonso García-Carbajal |
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Rok vydání: | 2017 |
Předmět: |
education.field_of_study
Materials science Population Metals and Alloys Thermodynamics 02 engineering and technology engineering.material 021001 nanoscience & nanotechnology Condensed Matter Physics Shape parameter 020501 mining & metallurgy Crystallography 0205 materials engineering Gumbel distribution Mechanics of Materials Generalized Pareto distribution Deoxidized steel Materials Chemistry engineering Generalized extreme value distribution Inclusion (mineral) 0210 nano-technology education Chemical composition |
Zdroj: | Metallurgical and Materials Transactions B. 48:3364-3379 |
ISSN: | 1543-1916 1073-5615 |
DOI: | 10.1007/s11663-017-1066-x |
Popis: | Four plant heats of Mn-Si deoxidized steel were conducted to follow the evolution of the inclusion population through ladle furnace (LF) treatment and subsequent vacuum treatment (VT). The liquid steel was sampled, and the chemical composition and size distribution of the inclusion populations were characterized. The Gumbel generalized extreme-value (GEV) and generalized Pareto (GP) distributions were used for the statistical analysis of the inclusion size distributions. The inclusions found at the beginning of the LF treatment were mostly fully liquid SiO2-Al2O3-MnO inclusions, which then evolved into fully liquid SiO2-Al2O3-CaO-MgO and partly liquid SiO2-CaO-MgO-(Al2O3-MgO) inclusions detected at the end of the VT. The final fully liquid inclusions had a desirable chemical composition for plastic behavior in subsequent metallurgical operations. The GP distribution was found to be undesirable for statistical analysis. The GEV distribution approach led to shape parameter values different from the zero value hypothesized from the Gumbel distribution. According to the GEV approach, some of the final inclusion size distributions had statistically significant differences, whereas the Gumbel approach predicted no statistically significant differences. The heats were organized according to indicators of inclusion cleanliness and a statistical comparison of the size distributions. |
Databáze: | OpenAIRE |
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