Theoretical Model of Steel Continuous Casting Technology

Gheorghieş, C.; Crudu, Ion; Teletin, Claudiu; Spânu, Constantin

doi:10.1016/s1006-706x(09)60003-0

Cited by 12 publications

(13 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among all of these, Raman spectroscopy has a lot of advantages over traditional analytical techniques, such as microanalysis, high analysis speed, high precision and accuracy, application to high-temperature condition and nodestruction. [10][11][12][13][14] Therefore, Raman spectroscopy has been successfully applied to detect the vibration mode of molecular or micro-structure units and it has become a very popular method to acquire the information of constitutes and structure of material. [10][11][12] Many researchers compared the infrared and Raman spectra of various silicate glasses and their corresponding melts.…”

Section: Introductionmentioning

confidence: 99%

Structure of CaO–B2O3–SiO2–TiO2 Glasses: a Raman Spectral Study

2011

View full text Add to dashboard Cite

Development and application of fluorine free mould fluxes have been widely studied in recent years. Some research has shown that B2O3 and TiO2 are potential substitutes for F -in mold fluxes. In this study, Structure of CaO-B2O3-SiO2-TiO2 glass system has been studied by Raman spectroscopy. The influence of basicities (CaO/SiO2) and contents of B2O3 and TiO2 on the structure of CaO-B2O3-SiO2-TiO2 glasses were examined. Experimental results indicate that TiO2 exists in the system in the form of [TiO4] as network former in range of 0-15% in mass. The degree of polymerization of this system decreases with increase of basicities. The increase of B2O3 leads to more [BO4] tetrahedral units. It is concluded that both B2O3 and TiO2 behave as network forming oxides within the studied system.

show abstract

Section: Introductionmentioning

confidence: 99%

Structure of CaO–B2O3–SiO2–TiO2 Glasses: a Raman Spectral Study

2011

View full text Add to dashboard Cite

show abstract

“…[2] The continuous casting process relies on many physical, mechanical, thermal, and chemical phenomena which are very complex. [4] One of the most frequent undesired phenomenon affecting the continuous casting is nozzle clogging, which is caused by deposition and sintering of microinclusions onto the SEN walls. [5] There are several undesired consequences associated with nozzle clogging, such as reduced productivity, increased casting costs, and degradation of the quality of the steel produced.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Study of Molten Steel Flow Patterns and Particle–Wall Interactions Inside a Slide-Gate Nozzle by a Hybrid Turbulent Model

Ghaleni

Zaeem

Smith

et al. 2016

Metall Mater Trans B

View full text Add to dashboard Cite

Melt flow patterns and turbulence inside a slide-gate throttled submerged entry nozzle (SEN) were studied using Detached-Eddy Simulation (DES) model, which is a combination of Reynolds-Averaged Navier-Stokes (RANS) and Large-Eddy Simulation (LES) models. The DES switching criterion between RANS and LES was investigated to closely reproduce the flow structures of low and high turbulence regions similar to RANS and LES simulations, respectively. The melt flow patterns inside the nozzle were determined by k-e (a RANS model), LES, and DES turbulent models, and convergence studies were performed to ensure reliability of the results. Results showed that the DES model has significant advantages over the standard k-e model in transient simulations and in regions containing flow separation from the nozzle surface. Moreover, due to applying a hybrid approach, DES uses a RANS model at wall boundaries which resolves the extremely fine mesh requirement of LES simulations, and therefore it is computationally more efficient. Investigation of particle distribution inside the nozzle and particle adhesion to the nozzle wall also reveals that the DES model simulations predict more particle-wall interactions compared to LES model.

show abstract

“…Gheorghies et al 4 developed a theoretical model that was adapted for studying the steel continuous-casting technology. The model is based on the system theory, considering input/output, command and control parameters.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the chemical non-homogeneity of 30MnVS6 billets with genetic programming

Kovačić¹,

Novak²

2016

Mater. Tehnol.

View full text Add to dashboard Cite

[tore Steel Ltd. is a small and flexible steel plant. The plant also produces the 30MnVS6 steel grade, which is used for crack connection rods in the automotive industry. The chemical elements are not uniformly distributed over the billet cross-sections, consequently influencing the final product properties. The chemical distribution depends mainly on the casting parameters. The article presents an attempt at predicting the chemical non-homogeneity of 30MnVS6 billets. With respect to the chemical-element distribution (% C, % Si, % Mn, % V, % S) over the billet cross-sections and the casting parameters (casting speed, casting temperature, meniscus level), several models for the chemical non-homogeneity prediction were developed by means of the genetic-programming method. The results show that the most influential parameter is the casting speed. The results of modeling can be practically implemented in order to reduce the chemical non-homogeneity of the billets. Keywords: steel, casting, billets, chemical composition, non-homogeneity, modelling, genetic programming [tore Steel je majhna, a prilagodljiva jeklarna. Proizvajajo tudi jeklo 30MnVS6, ki se uporablja za ojnice, ki se izdelujejo z lomljenjem, za avtomobilsko industrijo. Kemijski elementi niso enakomerno porazdeljeni po prerezu gredice, kar posledi~no vpliva na lastnosti kon~nega izdelka. Razporeditev kemijskih elementov je najbolj odvisna od parametrov vlivanja. V~lanku je predstavljen poskus napovedovanja kemijske nehomogenosti gredic jekla 30MnVS6. Glede na razporeditve kemijskih elementov (% C, % Si, % Mn, % V, % S) po prerezu gredice in parametre vlivanja (hitrost vlivanja, temperatura vlivanja, nivo taline), se je izdelalo ve~modelov, za napovedovanje kemijske nehomogenosti gredic, s pomo~jo metode genetskega programiranja. Rezultati ka`ejo, da je najvplivnej{i parameter hitrost vlivanja. Rezultati modeliranja se lahko uporabijo v praksi z namenom zmanj{anja kemijske nehomogenosti gredic.

show abstract

Theoretical Model of Steel Continuous Casting Technology

Cited by 12 publications

References 5 publications

Structure of CaO–B2O3–SiO2–TiO2 Glasses: a Raman Spectral Study

Structure of CaO–B2O3–SiO2–TiO2 Glasses: a Raman Spectral Study

Computational Fluid Dynamics Study of Molten Steel Flow Patterns and Particle–Wall Interactions Inside a Slide-Gate Nozzle by a Hybrid Turbulent Model

Prediction of the chemical non-homogeneity of 30MnVS6 billets with genetic programming

Contact Info

Product

Resources

About