Mathematical Model for Prediction of Composition of Inclusions Formed during Solidification of Liquid Steel

Choudhary, S. K.; Ghosh, Anish

doi:10.2355/isijinternational.49.1819

Cited by 144 publications

(85 citation statements)

References 25 publications

(42 reference statements)

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“…[29,30] Using the measured SDAS values (Figure 2), the C R and t f values can be calculated from Eqs. [4] and [5] for the following locations of the slabs: SS (i.e., 10 mm from the top surface): C R~4 K/s and t f~1 2 seconds; QT: C R~1 K/s and t f~5 0 seconds; and MT: C R~0 .2 K/s and t f 250 seconds.…”

Section: A Dependence Of Microsegregation On the Solidification Sequmentioning

confidence: 99%

Prediction of Inhomogeneous Distribution of Microalloy Precipitates in Continuous-Cast High-Strength, Low-Alloy Steel Slab

Roy

Patra

Neogy

et al. 2012

Metall Mater Trans A

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Spatial distribution in size and frequency of microalloy precipitates have been characterized in two continuous-cast high-strength, low-alloy steel slabs, one containing Nb, Ti, and V and the other containing only Ti. Microsegregation during casting resulted in an inhomogeneous distribution of Nb and Ti precipitates in as-cast slabs. A model has been proposed in this study based on the detailed characterization of cast microalloy precipitates for predicting the spatial distribution in size and volume fraction of precipitates. The present model considers different models, which have been proposed earlier. Microsegregation during solidification has been predicted from the model proposed by Clyne and Kurz. Homogenization of alloying elements during cooling of the cast slab has been predicted following the approach suggested by Kurz and Fisher. Thermo-Calc software predicted the thermodynamic stability and volume fraction of microalloy precipitates at interdendritic and dendritic regions. Finally, classical nucleation and growth theory of precipitation have been used to predict the size distribution of microalloy precipitates at the aforementioned regions. The accurate prediction and control over the precipitate size and fractions may help in avoiding the hot-cracking problem during casting and selecting the processing parameters for reheating and rolling of the slabs.

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Section: A Dependence Of Microsegregation On the Solidification Sequmentioning

confidence: 99%

Prediction of Inhomogeneous Distribution of Microalloy Precipitates in Continuous-Cast High-Strength, Low-Alloy Steel Slab

Roy

Patra

Neogy

et al. 2012

Metall Mater Trans A

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“…Choudhary and Ghosh [98] described a methodology to predict the formation of inclusions during cooling and solidification. In the cooling process, inclusion changes were calculated using the Equilib module of FactSage [99].…”

Section: Clyne-kurzmentioning

confidence: 99%

Modeling Inclusion Formation during Solidification of Steel: A Review

You

Michelic

Presoly

et al. 2017

Metals

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Abstract:The formation of nonmetallic inclusions in the solidification process can essentially influence the properties of steels. Computational simulation provides an effective and valuable method to study the process due to the difficulty of online investigation. This paper reviews the modeling work of inclusion formation during the solidification of steel. Microsegregation and inclusion formation thermodynamics and kinetics are first introduced, which are the fundamentals to simulate the phenomenon in the solidification process. Next, the thermodynamic and kinetic models coupled with microsegregation dedicated to inclusion formation are briefly described and summarized before the development and future expectations are discussed.

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“…For a broad field of examples, the calculated results correspond well to the measurements; this performance certainly explains the frequent use and popularity of these models. [9][10][11][12]14) The present work addresses the approach that is schematically depicted in Fig. 1.…”

Section: Modeling Of Inclusion Formation During the Solidification Ofmentioning

confidence: 99%

“…Based on a similar approach, Wintz et al 10,11) analyzed the formation of (Mn, Fe)S in steel with a varying Mn/S-ratio and the formation of complex oxide inclusions in semikilled steels and validated the results using experiments and microprobe analysis. Choudary and Ghosh 12) predicted the interdendritic enrichment using the Clyne-Kurz-model and calculated the phase stability of the oxide and sulfide…”

Section: Introductionmentioning

confidence: 99%