Effect of Elements on Peritectic Reaction in Molten Steel Based on Thermodynamic Analysis

Xu, Jianfei; He, Shengping; Wu, Ting; Long, Xiao; Wang, Qian

doi:10.2355/isijinternational.52.1856

Cited by 20 publications

(16 citation statements)

References 4 publications

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“…Also, the present set of calculated values for Tγ correlates excellently with those calculated by Xu et al 5) using Factsage and both of these values are slightly higher than the measured values. This is because the calculated values are for equilibrium conditions while the measured data are for actual industrial (non-equilibrium) conditions.…”

Section: Validation With Literature Datasupporting

confidence: 88%

“…5,6) The present model represents a greater value of R 2 and a smaller value of RMSD (Root Mean Square Deviation). It can thus be concluded that in the composition ranges considered here, the present correlation fits the calculated data much better than any of the pre-existing models.…”

Section: Validation With Literature Datamentioning

confidence: 78%

“…The predictor equation for CB has been compared with other existing correlations between CB and composition developed by Xu et al 5) and Blazek et al 6) Figures 7(a)-7(c) show the co-relation between the calculated values of CB and those predicted by the different models. 5,6) The present model represents a greater value of R 2 and a smaller value of RMSD (Root Mean Square Deviation).…”

Section: Validation With Literature Datamentioning

confidence: 99%

“…Further, to test the accuracy of the calculated phase diagrams, some of the measured values of liquidus temperature (Tliq) from Wang et al 8) and austenite formation temperature (Tγ) from Xu et al 5) have been compared with the calculated values for the same steel compositions (Tables 3 and 4) and plotted in Fig. 10.…”

Section: Validation With Literature Datamentioning

confidence: 99%

“…Earlier efforts to determine the effects of alloying elements on Ferrite Potential consisted of simply replacing the [%C] Preliminary attempts in determining the effects of alloying elements on the peritectic compositions and temperatures based on thermodynamics were made by Kagawa et al 4) More recently, efforts have been made to determine the effects of alloying elements on CA and CB through development of peritectic predictor equations using computational thermodynamic approaches. 5,6) However, in none of the existing models/correlations effects of all types of alloying elements on the peritectic transformation have been considered. Also while such correlations seem to give good predictions in their respective composition ranges, the universality of these correlations is questionable since they are mostly regression based models.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Effects of Alloying Elements on the Ferrite Potential of Peritectic and Ultra-Low Carbon Steels

et al. 2015

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Solidification of steels involving the peritectic reaction are inherently prone to longitudinal facial cracking during casting, owing primarily to the large volume shrinkage associated with delta-ferrite to austenite transformation occurring at high temperatures. Therefore casting of those steels requires a lot of caution. Ferrite Potential (FP) is widely accepted as a measure of the tendency of steels to form delta-ferrite during solidification. However, the most commonly used definition of Ferrite Potential is strictly applicable only to plain carbon steels while commercial steels may contain several other alloying elements. Therefore, the existing definition may not express their actual Ferrite Potential. In view of this, a new correlation has been developed in the present work for evaluating the true Ferrite Potential for multi-component steels. Influences of several common alloying/solute elements have been considered while developing the present model. Present model development involved rigorous thermodynamic calculations aimed at determining the interactions among various solute elements and their overall influence on the peritectic compositions and the peritectic transformation temperature. In addition, assumed quadratic dependence of peritectic compositions and temperature on the concentrations of alloying elements has been employed besides the application of non-linear multi-variate regression analysis. Finally, present correlations have been extensively validated against literature data as well as actual plant observations. In comparison to other models, reasonably better agreement between the current model predictions and plant data has been obtained. The present model has helped the plant operators in selecting the right parameters for casting operations.

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Section: Validation With Literature Datasupporting

confidence: 88%

Section: Validation With Literature Datamentioning

confidence: 78%

Section: Validation With Literature Datamentioning

confidence: 99%

Section: Validation With Literature Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of Alloying Elements on the Ferrite Potential of Peritectic and Ultra-Low Carbon Steels

et al. 2015

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Universal Secondary Cooling Structure for Round Blooms Continuous Casting of Steels in Various Diameters

Long

Dong

Sheng

et al. 2014

steel research int.

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Based on the thermodynamic calculations, the universal secondary cooling structure, and the specific water rate for round blooms continuous casting in various diameters were investigated with a 2D heat transfer model. Results indicated that extension of the secondary cooling zone along casting direction significantly lowered the surface temperature recovery after the water cooling, though little influence on the recovering rate. The universal secondary cooling structure for the continuous casting of round blooms in diameters from 280 to 350 mm was optimized by appropriately extending the length of secondary cooling zone. The target unbending temperature was 908 °C for steel 16MnNb due to the thermodynamic calculation. To the optimized universal secondary cooling structure, the optimal specific water rates were 0.35 and 0.25 L kg−1 for the continuous casting of round blooms 280 and 350 mm in diameter, respectively. The present study had been applied to real production, resulting in round blooms in good quality, and contributing to the efficiency and flexibility of round blooms continuous casting process.

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Review of Mold Fluxes for Continuous Casting of High‐Alloy (Al, Mn, Ti) Steels

Chen

et al. 2018

steel research int.

Self Cite

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During continuous casting of high‐alloy (Al, Mn, Ti) steels, the operational issues and quality problems caused by interfacial reaction or peritectic features need to be solved by applying suitable mold fluxes. Intensive efforts have been made to optimize properties, and hereby, several types of mold fluxes, including mold fluxes with high basicity and high glassy property (dual‐high mold fluxes), mold fluxes with strong oxidizing components to protect SiO2 from reduction, mold fluxes with high SiO2 content to decrease the viscosity and basicity, mold fluxes with low SiO2 content for the purpose of attenuated reactivity, and molten mold fluxes to increase consumption, have been developed. Significant efforts have been made to study the theoretical basis and practical application of these mold fluxes. To summarize, the most potential solution of mold fluxes for high‐alloy (Al, Mn, Ti) steel continuous casting is to further optimize the nonreactive mold fluxes systematically to achieve a coordinated control of lubrication and heat transfer.

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Effect of Elements on Peritectic Reaction in Molten Steel Based on Thermodynamic Analysis

Cited by 20 publications

References 4 publications

Effects of Alloying Elements on the Ferrite Potential of Peritectic and Ultra-Low Carbon Steels

Effects of Alloying Elements on the Ferrite Potential of Peritectic and Ultra-Low Carbon Steels

Universal Secondary Cooling Structure for Round Blooms Continuous Casting of Steels in Various Diameters

Review of Mold Fluxes for Continuous Casting of High‐Alloy (Al, Mn, Ti) Steels

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