Modeling Solidification Phenomena in the Continuous Casting of Carbon Steels

Sismanis, Panagiotis

doi:10.5772/19699

Cited by 4 publications

(7 citation statements)

References 29 publications

(22 reference statements)

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“…Therefore, during solidification of carbon steels, there is always a range between solidus and liquidus temperatures in which the solid fraction is in the range from 0 to 1; this physical range inside a solidifying steel body is called mushy zone, and the whole phenomenon is related to micro-segregation. The simple micro-segregation model [32] has been adopted in this work, and the analysis has been described in similar previous studies [24,29,33]. It appears that the larger the carbon content in a steel grade, the larger the mushy zone gets, and central porosity becomes inevitable in the final stages of solidification.…”

Section: Comparison Of Temperature Values Between the Theoretical (Fomentioning

confidence: 98%

“…The vertical side, MZ, is the boundary from which the main heat flow (cooling) takes place; the horizontal side OZ and the diagonal side OM, with an inclination of π/8, or 22.5°, are considered to be adiabatic to heat flow due to the aforementioned symmetry reasons. This study is part of a series of published works with respect to the numerical solution of the heat transfer equation in 2D (square and rectangular) and 3D domains [24,[27][28][29]. Although the core of the existing program remained intact, due to the nature of the present trigonal domain, the part of the program related to the boundary conditions had to be developed from scratch.…”

Section: Numerical Solutionmentioning

confidence: 99%

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A Numerical Solution Model for the Heat Transfer in Octagonal Billets

Sismanis¹

2019

Heat and Mass Transfer - Advances in Science and Technology Applications

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In the quest for high-quality steel products, the need of cast billets with minimum surface and internal defects is of paramount importance. On the other hand, productivity is required to be as high as possible in order to reduce production cost. Different billet shapes have been applied with emphasis upon square, rectangular, and circular cross-sections. It is obvious that the best billet shape that minimizes surface and subsurface defects is the circular one. Nevertheless, this shape creates some problems with respect to handling and safety reasons. One recent attempt is to produce normal octagonal-shaped billets that appear to approach the circular shape albeit easier to handle. In this study, a numerical solution for the heat transfer during solidification in the continuous casting of octagonal billets has been carried out. The developed model deploys an implicit scheme in order to solve the differential equations of heat transfer under the appropriate boundary conditions in a section of an octagonal billet, assuming fully axisymmetric cooling of the bloom. The geometry of the octagonal billet plays an interesting role in the development of the heat transfer analysis. Based upon fundamental principles, a computer program has been developed for this purpose. Consequently, results from the numerical solution are presented and discussed.

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Section: Comparison Of Temperature Values Between the Theoretical (Fomentioning

confidence: 98%

Section: Numerical Solutionmentioning

confidence: 99%

A Numerical Solution Model for the Heat Transfer in Octagonal Billets

Sismanis¹

2019

Heat and Mass Transfer - Advances in Science and Technology Applications

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“…This specific article is part of a series of published works with respect to the numerical solution of the heat transfer equation in 2D and 3D domains [28][29][30]. The strongly implicit method as practiced by Patankar [23] was applied.…”

Section: Numerical Solutionmentioning

confidence: 99%

“…The Gauss-Seidel algorithm for the iterative solution of the matrix of equations was applied, as it was proven as a very suitable scheme for the solution of the temperature distribution putting into effect the OpenMP instruction set for parallel computation. Over-relaxation was applied for the fastest possible convergence; the over-relaxation parameter used was ω= 1.870, which has exhibited good results for these kinds of studies [28][29][30][31][32]. This specific piece of software was developed in GNU C++, version 4.8.1, supplied by TDM-GCC, and accessed through the open source, cross-platform IDE, Code::Blocks, version 13.12.…”

Section: Numerical Solutionmentioning

confidence: 99%

Evaluation of Solidification Times for Medium and High Carbon Steels Based upon Heat Transfer and Solidification Phenomena in the Continuous Casting of Blooms

Sismanis¹

2015

Heat Transfer Studies and Applications

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“…The tests must be performed several times at various T , so the time and cost are high [ 10 , 11 ]. Too high cooling rate and alloying amount may reduce cast steel plasticity and lead to crack formation [ 2 , 11 , 12 ]. Alloying also has an important effect on the ductility of cast steel [ 10 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Hot Ductility Prediction Model of Cast Steel with Low-Temperature Transformed Structure during Continuous Casting

2022

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When various alloying elements are added or the cooling rate is increased, steel grades with U- or V-typed ductility behavior show N-shaped ductility behavior in which the ductility decreases in the low-temperature region. This study proposes a method that uses N-shaped data fitting and random forest to predict ductility behavior of steel grades that have bainite microstructure. To include the phenomenon in which that ductility decreases below the intermediate temperature, the data range was extended to temperature T < 700 °C. To identify the T range in which the ductility decreases at T < 700 °C, an N-shaped data fitting method using six parameters was proposed. Comparison with the experimental values confirmed the effectiveness of the proposed model. Also, the model has better ability than models to predict bainite start temperature TBS. In a case study, the change of ductility behavior according to the cooling rate was observed for Nb-added steel. As the cooling rate increased from 1 °C/s to 10 °C/s, the formation of hard phase was relatively promoted, and different transformation behaviors appeared. This ability to predict the ductility behavior of alloy steels with a bainite microstructure, and to predict TBS below the intermediate temperature enables effective control of the secondary cooling conditions during continuous casting process, minimizing the formation of cracks on the slab surface.

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Modeling Solidification Phenomena in the Continuous Casting of Carbon Steels

Cited by 4 publications

References 29 publications

A Numerical Solution Model for the Heat Transfer in Octagonal Billets

A Numerical Solution Model for the Heat Transfer in Octagonal Billets

Evaluation of Solidification Times for Medium and High Carbon Steels Based upon Heat Transfer and Solidification Phenomena in the Continuous Casting of Blooms

Hot Ductility Prediction Model of Cast Steel with Low-Temperature Transformed Structure during Continuous Casting

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