Assessing the Evolution of Non-Metallic Inclusions in High-Speed Steels by Using the EERZ (Effective Equilibrium Reaction Zone) Modelling Approach

Abstract Modeling is an essential tool to provide insights in the evolution of non-metallic inclusions in metallurgical processes. To provide comprehensive depictions of phase developments in laboratory experiments and the associated steel cleanness in high-speed steels, a combination of modeling approaches is employed and compared with analytical data. Macroscopic phase changes are represented using the effective equilibrium reaction zone model. This model, in conjunction with analytical and numerical approaches, also serve to describe steel cleanness modifications. The model described, together with delineated boundary conditions based on literature as well as measured data for the defined system, demonstrated a high degree of agreement with the measurements. Macroscopic changes are characterized by a mean absolute deviation between measured and calculated steel and slag component contents of 0.035 pct points with a standard deviation of 0.093 pct points and 0.92 pct points with a standard deviation of 1.61 pct points, respectively. For steel cleanness modifications, comparative analysis of inclusion compositions, mean ECDs and inclusion number densities were conducted. The mean absolute deviation of the mean ECD showed 0.02 μ m with a standard deviation of 0.03 μ m and the inclusion number density 155 inclusions per mm 2 with a standard deviation of 224 inclusions per mm 2 .

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Journal
Metallurgical and Materials Transactions B
Published
2026-05-08
DOI
https://doi.org/10.1007/s11663-026-04074-4
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
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article

Assessing the Evolution of Non-Metallic Inclusions in High-Speed Steels by Using the EERZ (Effective Equilibrium Reaction Zone) Modelling Approach

Julian Cejka, Manuel Schickbichler, Susanne Michelic
Metallurgical and Materials Transactions B
Metallurgical Processes and Thermodynamics
article

Assessing the Evolution of Non-Metallic Inclusions in High-Speed Steels by Using the EERZ (Effective Equilibrium Reaction Zone) Modelling Approach

Julian Cejka, Manuel Schickbichler, Susanne Michelic
article en

Abstract

Abstract Modeling is an essential tool to provide insights in the evolution of non-metallic inclusions in metallurgical processes. To provide comprehensive depictions of phase developments in laboratory experiments and the associated steel cleanness in high-speed steels, a combination of modeling approaches is employed and compared with analytical data. Macroscopic phase changes are represented using the effective equilibrium reaction zone model. This model, in conjunction with analytical and numerical approaches, also serve to describe steel cleanness modifications. The model described, together with delineated boundary conditions based on literature as well as measured data for the defined system, demonstrated a high degree of agreement with the measurements. Macroscopic changes are characterized by a mean absolute deviation between measured and calculated steel and slag component contents of 0.035 pct points with a standard deviation of 0.093 pct points and 0.92 pct points with a standard deviation of 1.61 pct points, respectively. For steel cleanness modifications, comparative analysis of inclusion compositions, mean ECDs and inclusion number densities were conducted. The mean absolute deviation of the mean ECD showed 0.02 μ m with a standard deviation of 0.03 μ m and the inclusion number density 155 inclusions per mm 2 with a standard deviation of 224 inclusions per mm 2 .

Metallurgical and Materials Transactions B
Montanuniversität Leoben (AT), Christian Doppler Laboratory for Thermoelectricity (AT)
Openalex Percentile: Top 9%
Metallurgical Processes and Thermodynamics
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Assessing the Evolution of Non-Metallic Inclusions in High-Speed Steels by Using the EERZ (Effective Equilibrium Reaction Zone) Modelling Approach — Julian Cejka, Manuel Schickbichler, et al. · Metallurgical and Materials Transactions B (2026) | TGRS Research Map | TGRS